diff --git a/Manifest.toml b/Manifest.toml index 94025dfc4..8c2640d7a 100644 --- a/Manifest.toml +++ b/Manifest.toml @@ -1,8 +1,8 @@ # This file is machine-generated - editing it directly is not advised -julia_version = "1.8.3" +julia_version = "1.8.5" manifest_format = "2.0" -project_hash = "6787ce6711da7a7bf012a2defdfff479e23ec7c6" +project_hash = "d3fe8f706f4681996c34653c7dce829ba5417ba3" [[deps.AbstractFFTs]] deps = ["ChainRulesCore", "LinearAlgebra", "Test"] @@ -10,11 +10,17 @@ git-tree-sha1 = "d92ad398961a3ed262d8bf04a1a2b8340f915fef" uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c" version = "1.5.0" +[[deps.Accessors]] +deps = ["CompositionsBase", "ConstructionBase", "Dates", "InverseFunctions", "LinearAlgebra", "MacroTools", "Markdown", "Requires", "Test"] +git-tree-sha1 = "b392ede862e506d451fc1616e79aa6f4c673dab8" +uuid = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697" +version = "0.1.38" + [[deps.Adapt]] deps = ["LinearAlgebra", "Requires"] -git-tree-sha1 = "76289dc51920fdc6e0013c872ba9551d54961c24" +git-tree-sha1 = "d80af0733c99ea80575f612813fa6aa71022d33a" uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e" -version = "3.6.2" +version = "4.1.0" [[deps.ArchGDAL]] deps = ["CEnum", "ColorTypes", "Dates", "DiskArrays", "Extents", "GDAL", "GDAL_jll", "GeoFormatTypes", "GeoInterface", "GeoInterfaceRecipes", "ImageCore", "Tables"] @@ -34,14 +40,14 @@ uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f" [[deps.BenchmarkTools]] deps = ["JSON", "Logging", "Printf", "Profile", "Statistics", "UUIDs"] -git-tree-sha1 = "d9a9701b899b30332bbcb3e1679c41cce81fb0e8" +git-tree-sha1 = "f1dff6729bc61f4d49e140da1af55dcd1ac97b2f" uuid = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf" -version = "1.3.2" +version = "1.5.0" [[deps.BitFlags]] -git-tree-sha1 = "43b1a4a8f797c1cddadf60499a8a077d4af2cd2d" +git-tree-sha1 = "0691e34b3bb8be9307330f88d1a3c3f25466c24d" uuid = "d1d4a3ce-64b1-5f1a-9ba4-7e7e69966f35" -version = "0.1.7" +version = "0.1.9" [[deps.Blosc]] deps = ["Blosc_jll"] @@ -51,9 +57,9 @@ version = "0.7.3" [[deps.Blosc_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Lz4_jll", "Zlib_jll", "Zstd_jll"] -git-tree-sha1 = "6aa2d0b8db41ab860bbbf61b9587e3b957683fd3" +git-tree-sha1 = "ef12cdd1c7fb7e1dfd6fa8fd60d4db6bc61d2f23" uuid = "0b7ba130-8d10-5ba8-a3d6-c5182647fed9" -version = "1.21.4+0" +version = "1.21.6+2" [[deps.Bzip2_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] @@ -68,39 +74,51 @@ version = "0.4.2" [[deps.CSV]] deps = ["CodecZlib", "Dates", "FilePathsBase", "InlineStrings", "Mmap", "Parsers", "PooledArrays", "PrecompileTools", "SentinelArrays", "Tables", "Unicode", "WeakRefStrings", "WorkerUtilities"] -git-tree-sha1 = "44dbf560808d49041989b8a96cae4cffbeb7966a" +git-tree-sha1 = "deddd8725e5e1cc49ee205a1964256043720a6c3" uuid = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b" -version = "0.10.11" +version = "0.10.15" + +[[deps.Cairo_jll]] +deps = ["Artifacts", "Bzip2_jll", "CompilerSupportLibraries_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"] +git-tree-sha1 = "009060c9a6168704143100f36ab08f06c2af4642" +uuid = "83423d85-b0ee-5818-9007-b63ccbeb887a" +version = "1.18.2+1" [[deps.ChainRulesCore]] deps = ["Compat", "LinearAlgebra", "SparseArrays"] -git-tree-sha1 = "e30f2f4e20f7f186dc36529910beaedc60cfa644" +git-tree-sha1 = "3e4b134270b372f2ed4d4d0e936aabaefc1802bc" uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4" -version = "1.16.0" +version = "1.25.0" [[deps.ChangesOfVariables]] deps = ["InverseFunctions", "LinearAlgebra", "Test"] -git-tree-sha1 = "2fba81a302a7be671aefe194f0525ef231104e7f" +git-tree-sha1 = "799b25ca3a8a24936ae7b5c52ad194685fc3e6ef" uuid = "9e997f8a-9a97-42d5-a9f1-ce6bfc15e2c0" -version = "0.1.8" +version = "0.1.9" [[deps.CodecBzip2]] -deps = ["Bzip2_jll", "Libdl", "TranscodingStreams"] -git-tree-sha1 = "ad41de3795924f7a056243eb3e4161448f0523e6" +deps = ["Bzip2_jll", "TranscodingStreams"] +git-tree-sha1 = "e7c529cc31bb85b97631b922fa2e6baf246f5905" uuid = "523fee87-0ab8-5b00-afb7-3ecf72e48cfd" -version = "0.8.0" +version = "0.8.4" [[deps.CodecZlib]] deps = ["TranscodingStreams", "Zlib_jll"] -git-tree-sha1 = "02aa26a4cf76381be7f66e020a3eddeb27b0a092" +git-tree-sha1 = "bce6804e5e6044c6daab27bb533d1295e4a2e759" uuid = "944b1d66-785c-5afd-91f1-9de20f533193" -version = "0.7.2" +version = "0.7.6" + +[[deps.ColorSchemes]] +deps = ["ColorTypes", "ColorVectorSpace", "Colors", "FixedPointNumbers", "PrecompileTools", "Random"] +git-tree-sha1 = "b5278586822443594ff615963b0c09755771b3e0" +uuid = "35d6a980-a343-548e-a6ea-1d62b119f2f4" +version = "3.26.0" [[deps.ColorTypes]] deps = ["FixedPointNumbers", "Random"] -git-tree-sha1 = "eb7f0f8307f71fac7c606984ea5fb2817275d6e4" +git-tree-sha1 = "b10d0b65641d57b8b4d5e234446582de5047050d" uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f" -version = "0.11.4" +version = "0.11.5" [[deps.ColorVectorSpace]] deps = ["ColorTypes", "FixedPointNumbers", "LinearAlgebra", "SpecialFunctions", "Statistics", "TensorCore"] @@ -110,9 +128,9 @@ version = "0.9.10" [[deps.Colors]] deps = ["ColorTypes", "FixedPointNumbers", "Reexport"] -git-tree-sha1 = "fc08e5930ee9a4e03f84bfb5211cb54e7769758a" +git-tree-sha1 = "362a287c3aa50601b0bc359053d5c2468f0e7ce0" uuid = "5ae59095-9a9b-59fe-a467-6f913c188581" -version = "0.12.10" +version = "0.12.11" [[deps.CommonSolve]] git-tree-sha1 = "0eee5eb66b1cf62cd6ad1b460238e60e4b09400c" @@ -120,33 +138,43 @@ uuid = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2" version = "0.2.4" [[deps.CommonSubexpressions]] -deps = ["MacroTools", "Test"] -git-tree-sha1 = "7b8a93dba8af7e3b42fecabf646260105ac373f7" +deps = ["MacroTools"] +git-tree-sha1 = "cda2cfaebb4be89c9084adaca7dd7333369715c5" uuid = "bbf7d656-a473-5ed7-a52c-81e309532950" -version = "0.3.0" +version = "0.3.1" [[deps.Compat]] -deps = ["Dates", "LinearAlgebra", "UUIDs"] -git-tree-sha1 = "8a62af3e248a8c4bad6b32cbbe663ae02275e32c" +deps = ["Dates", "LinearAlgebra", "TOML", "UUIDs"] +git-tree-sha1 = "8ae8d32e09f0dcf42a36b90d4e17f5dd2e4c4215" uuid = "34da2185-b29b-5c13-b0c7-acf172513d20" -version = "4.10.0" +version = "4.16.0" [[deps.CompilerSupportLibraries_jll]] deps = ["Artifacts", "Libdl"] uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae" -version = "0.5.2+0" +version = "1.0.1+0" + +[[deps.CompositionsBase]] +git-tree-sha1 = "802bb88cd69dfd1509f6670416bd4434015693ad" +uuid = "a33af91c-f02d-484b-be07-31d278c5ca2b" +version = "0.1.2" [[deps.ConcurrentUtilities]] deps = ["Serialization", "Sockets"] -git-tree-sha1 = "5372dbbf8f0bdb8c700db5367132925c0771ef7e" +git-tree-sha1 = "ea32b83ca4fefa1768dc84e504cc0a94fb1ab8d1" uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb" -version = "2.2.1" +version = "2.4.2" [[deps.ConstructionBase]] deps = ["LinearAlgebra"] -git-tree-sha1 = "c53fc348ca4d40d7b371e71fd52251839080cbc9" +git-tree-sha1 = "76219f1ed5771adbb096743bff43fb5fdd4c1157" uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9" -version = "1.5.4" +version = "1.5.8" + +[[deps.Contour]] +git-tree-sha1 = "439e35b0b36e2e5881738abc8857bd92ad6ff9a8" +uuid = "d38c429a-6771-53c6-b99e-75d170b6e991" +version = "0.6.3" [[deps.CoolProp]] deps = ["CoolProp_jll", "Markdown", "Unitful"] @@ -156,9 +184,9 @@ version = "0.1.0" [[deps.CoolProp_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "3e707957390c96dbe6184dc27eb6da2f5d2e6aac" +git-tree-sha1 = "f0f70a17d132d2ab5bf2b61993db36ac1099f6c7" uuid = "3351c21f-4feb-5f29-afb9-f4fcb0e27549" -version = "6.5.0+0" +version = "6.6.0+0" [[deps.Crayons]] git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15" @@ -166,21 +194,21 @@ uuid = "a8cc5b0e-0ffa-5ad4-8c14-923d3ee1735f" version = "4.1.1" [[deps.DataAPI]] -git-tree-sha1 = "8da84edb865b0b5b0100c0666a9bc9a0b71c553c" +git-tree-sha1 = "abe83f3a2f1b857aac70ef8b269080af17764bbe" uuid = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a" -version = "1.15.0" +version = "1.16.0" [[deps.DataFrames]] -deps = ["Compat", "DataAPI", "DataStructures", "Future", "InlineStrings", "InvertedIndices", "IteratorInterfaceExtensions", "LinearAlgebra", "Markdown", "Missings", "PooledArrays", "PrecompileTools", "PrettyTables", "Printf", "REPL", "Random", "Reexport", "SentinelArrays", "SortingAlgorithms", "Statistics", "TableTraits", "Tables", "Unicode"] -git-tree-sha1 = "04c738083f29f86e62c8afc341f0967d8717bdb8" +deps = ["Compat", "DataAPI", "DataStructures", "Future", "InlineStrings", "InvertedIndices", "IteratorInterfaceExtensions", "LinearAlgebra", "Markdown", "Missings", "PooledArrays", "PrecompileTools", "PrettyTables", "Printf", "Random", "Reexport", "SentinelArrays", "SortingAlgorithms", "Statistics", "TableTraits", "Tables", "Unicode"] +git-tree-sha1 = "fb61b4812c49343d7ef0b533ba982c46021938a6" uuid = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0" -version = "1.6.1" +version = "1.7.0" [[deps.DataStructures]] deps = ["Compat", "InteractiveUtils", "OrderedCollections"] -git-tree-sha1 = "3dbd312d370723b6bb43ba9d02fc36abade4518d" +git-tree-sha1 = "1d0a14036acb104d9e89698bd408f63ab58cdc82" uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8" -version = "0.18.15" +version = "0.18.20" [[deps.DataValueInterfaces]] git-tree-sha1 = "bfc1187b79289637fa0ef6d4436ebdfe6905cbd6" @@ -191,6 +219,12 @@ version = "1.0.0" deps = ["Printf"] uuid = "ade2ca70-3891-5945-98fb-dc099432e06a" +[[deps.Dbus_jll]] +deps = ["Artifacts", "Expat_jll", "JLLWrappers", "Libdl"] +git-tree-sha1 = "fc173b380865f70627d7dd1190dc2fce6cc105af" +uuid = "ee1fde0b-3d02-5ea6-8484-8dfef6360eab" +version = "1.14.10+0" + [[deps.DelimitedFiles]] deps = ["Mmap"] uuid = "8bb1440f-4735-579b-a4ab-409b98df4dab" @@ -208,14 +242,10 @@ uuid = "b552c78f-8df3-52c6-915a-8e097449b14b" version = "1.15.1" [[deps.DiskArrays]] -deps = ["OffsetArrays"] -git-tree-sha1 = "1bfa9de80f35ac63c6c381b2d43c590875896a1f" +deps = ["LRUCache", "OffsetArrays"] +git-tree-sha1 = "ef25c513cad08d7ebbed158c91768ae32f308336" uuid = "3c3547ce-8d99-4f5e-a174-61eb10b00ae3" -version = "0.3.22" - -[[deps.Distributed]] -deps = ["Random", "Serialization", "Sockets"] -uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b" +version = "0.3.23" [[deps.DocStringExtensions]] deps = ["LibGit2"] @@ -228,49 +258,72 @@ deps = ["ArgTools", "FileWatching", "LibCURL", "NetworkOptions"] uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6" version = "1.6.0" +[[deps.EpollShim_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "8a4be429317c42cfae6a7fc03c31bad1970c310d" +uuid = "2702e6a9-849d-5ed8-8c21-79e8b8f9ee43" +version = "0.0.20230411+1" + [[deps.ExceptionUnwrapping]] deps = ["Test"] -git-tree-sha1 = "e90caa41f5a86296e014e148ee061bd6c3edec96" +git-tree-sha1 = "dcb08a0d93ec0b1cdc4af184b26b591e9695423a" uuid = "460bff9d-24e4-43bc-9d9f-a8973cb893f4" -version = "0.1.9" +version = "0.1.10" [[deps.Expat_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "4558ab818dcceaab612d1bb8c19cee87eda2b83c" +git-tree-sha1 = "1c6317308b9dc757616f0b5cb379db10494443a7" uuid = "2e619515-83b5-522b-bb60-26c02a35a201" -version = "2.5.0+0" +version = "2.6.2+0" [[deps.Extents]] -git-tree-sha1 = "5e1e4c53fa39afe63a7d356e30452249365fba99" +git-tree-sha1 = "81023caa0021a41712685887db1fc03db26f41f5" uuid = "411431e0-e8b7-467b-b5e0-f676ba4f2910" -version = "0.1.1" +version = "0.1.4" + +[[deps.FFMPEG]] +deps = ["FFMPEG_jll"] +git-tree-sha1 = "53ebe7511fa11d33bec688a9178fac4e49eeee00" +uuid = "c87230d0-a227-11e9-1b43-d7ebe4e7570a" +version = "0.4.2" + +[[deps.FFMPEG_jll]] +deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "PCRE2_jll", "Pkg", "Zlib_jll", "libaom_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"] +git-tree-sha1 = "74faea50c1d007c85837327f6775bea60b5492dd" +uuid = "b22a6f82-2f65-5046-a5b2-351ab43fb4e5" +version = "4.4.2+2" [[deps.FileIO]] deps = ["Pkg", "Requires", "UUIDs"] -git-tree-sha1 = "299dc33549f68299137e51e6d49a13b5b1da9673" +git-tree-sha1 = "62ca0547a14c57e98154423419d8a342dca75ca9" uuid = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549" -version = "1.16.1" - -[[deps.FilePaths]] -deps = ["FilePathsBase", "MacroTools", "Reexport", "Requires"] -git-tree-sha1 = "919d9412dbf53a2e6fe74af62a73ceed0bce0629" -uuid = "8fc22ac5-c921-52a6-82fd-178b2807b824" -version = "0.8.3" +version = "1.16.4" [[deps.FilePathsBase]] -deps = ["Compat", "Dates", "Mmap", "Printf", "Test", "UUIDs"] -git-tree-sha1 = "9f00e42f8d99fdde64d40c8ea5d14269a2e2c1aa" +deps = ["Compat", "Dates", "Mmap", "Test"] +git-tree-sha1 = "7878ff7172a8e6beedd1dea14bd27c3c6340d361" uuid = "48062228-2e41-5def-b9a4-89aafe57970f" -version = "0.9.21" +version = "0.9.22" [[deps.FileWatching]] uuid = "7b1f6079-737a-58dc-b8bc-7a2ca5c1b5ee" [[deps.FixedPointNumbers]] deps = ["Statistics"] -git-tree-sha1 = "335bfdceacc84c5cdf16aadc768aa5ddfc5383cc" +git-tree-sha1 = "05882d6995ae5c12bb5f36dd2ed3f61c98cbb172" uuid = "53c48c17-4a7d-5ca2-90c5-79b7896eea93" -version = "0.8.4" +version = "0.8.5" + +[[deps.Fontconfig_jll]] +deps = ["Artifacts", "Bzip2_jll", "Expat_jll", "FreeType2_jll", "JLLWrappers", "Libdl", "Libuuid_jll", "Zlib_jll"] +git-tree-sha1 = "db16beca600632c95fc8aca29890d83788dd8b23" +uuid = "a3f928ae-7b40-5064-980b-68af3947d34b" +version = "2.13.96+0" + +[[deps.Format]] +git-tree-sha1 = "9c68794ef81b08086aeb32eeaf33531668d5f5fc" +uuid = "1fa38f19-a742-5d3f-a2b9-30dd87b9d5f8" +version = "1.3.7" [[deps.ForwardDiff]] deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "LinearAlgebra", "LogExpFunctions", "NaNMath", "Preferences", "Printf", "Random", "SpecialFunctions", "StaticArrays"] @@ -278,6 +331,18 @@ git-tree-sha1 = "cf0fe81336da9fb90944683b8c41984b08793dad" uuid = "f6369f11-7733-5829-9624-2563aa707210" version = "0.10.36" +[[deps.FreeType2_jll]] +deps = ["Artifacts", "Bzip2_jll", "JLLWrappers", "Libdl", "Zlib_jll"] +git-tree-sha1 = "5c1d8ae0efc6c2e7b1fc502cbe25def8f661b7bc" +uuid = "d7e528f0-a631-5988-bf34-fe36492bcfd7" +version = "2.13.2+0" + +[[deps.FriBidi_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "1ed150b39aebcc805c26b93a8d0122c940f64ce2" +uuid = "559328eb-81f9-559d-9380-de523a88c83c" +version = "1.0.14+0" + [[deps.Future]] deps = ["Random"] uuid = "9fa8497b-333b-5362-9e8d-4d0656e87820" @@ -289,10 +354,10 @@ uuid = "add2ef01-049f-52c4-9ee2-e494f65e021a" version = "1.4.0" [[deps.GDAL_jll]] -deps = ["Artifacts", "Expat_jll", "GEOS_jll", "JLLWrappers", "LibCURL_jll", "Libdl", "Libtiff_jll", "OpenJpeg_jll", "PROJ_jll", "Pkg", "SQLite_jll", "Zlib_jll", "Zstd_jll", "libgeotiff_jll"] -git-tree-sha1 = "e9604365601f34d669dac3609fa4870803bdea9b" +deps = ["Artifacts", "Expat_jll", "GEOS_jll", "HDF5_jll", "JLLWrappers", "LibCURL_jll", "LibPQ_jll", "Libdl", "Libtiff_jll", "NetCDF_jll", "OpenJpeg_jll", "PROJ_jll", "Pkg", "SQLite_jll", "Zlib_jll", "Zstd_jll", "libgeotiff_jll"] +git-tree-sha1 = "ac63c49efd5afe2054b044926c7f112c1cb31d25" uuid = "a7073274-a066-55f0-b90d-d619367d196c" -version = "300.500.101+0" +version = "300.500.200+0" [[deps.GEOS_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] @@ -300,27 +365,52 @@ git-tree-sha1 = "818ab247de98d8848a022c7be084b1283d912326" uuid = "d604d12d-fa86-5845-992e-78dc15976526" version = "3.11.2+0" +[[deps.GLFW_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Libglvnd_jll", "Xorg_libXcursor_jll", "Xorg_libXi_jll", "Xorg_libXinerama_jll", "Xorg_libXrandr_jll", "libdecor_jll", "xkbcommon_jll"] +git-tree-sha1 = "fcb0584ff34e25155876418979d4c8971243bb89" +uuid = "0656b61e-2033-5cc2-a64a-77c0f6c09b89" +version = "3.4.0+2" + +[[deps.GR]] +deps = ["Artifacts", "Base64", "DelimitedFiles", "Downloads", "GR_jll", "HTTP", "JSON", "Libdl", "LinearAlgebra", "Pkg", "Preferences", "Printf", "Random", "Serialization", "Sockets", "TOML", "Tar", "Test", "UUIDs", "p7zip_jll"] +git-tree-sha1 = "8e2d86e06ceb4580110d9e716be26658effc5bfd" +uuid = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71" +version = "0.72.8" + +[[deps.GR_jll]] +deps = ["Artifacts", "Bzip2_jll", "Cairo_jll", "FFMPEG_jll", "Fontconfig_jll", "GLFW_jll", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Libtiff_jll", "Pixman_jll", "Qt5Base_jll", "Zlib_jll", "libpng_jll"] +git-tree-sha1 = "da121cbdc95b065da07fbb93638367737969693f" +uuid = "d2c73de3-f751-5644-a686-071e5b155ba9" +version = "0.72.8+0" + [[deps.GeoFormatTypes]] -git-tree-sha1 = "434166198434a5c2fcc0a1a59d22c3b0ad460889" +git-tree-sha1 = "59107c179a586f0fe667024c5eb7033e81333271" uuid = "68eda718-8dee-11e9-39e7-89f7f65f511f" -version = "0.4.1" +version = "0.4.2" [[deps.GeoInterface]] -deps = ["Extents"] -git-tree-sha1 = "d53480c0793b13341c40199190f92c611aa2e93c" +deps = ["Extents", "GeoFormatTypes"] +git-tree-sha1 = "2f6fce56cdb8373637a6614e14a5768a88450de2" uuid = "cf35fbd7-0cd7-5166-be24-54bfbe79505f" -version = "1.3.2" +version = "1.3.7" [[deps.GeoInterfaceRecipes]] deps = ["GeoInterface", "RecipesBase"] -git-tree-sha1 = "0e26e1737e94de57c858649dc28e482b6c87d341" +git-tree-sha1 = "fb1156076f24f1dfee45b3feadb31d05730a49ac" uuid = "0329782f-3d07-4b52-b9f6-d3137cf03c7a" -version = "1.0.1" +version = "1.0.2" -[[deps.Glob]] -git-tree-sha1 = "97285bbd5230dd766e9ef6749b80fc617126d496" -uuid = "c27321d9-0574-5035-807b-f59d2c89b15c" -version = "1.3.1" +[[deps.Gettext_jll]] +deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "XML2_jll"] +git-tree-sha1 = "9b02998aba7bf074d14de89f9d37ca24a1a0b046" +uuid = "78b55507-aeef-58d4-861c-77aaff3498b1" +version = "0.21.0+0" + +[[deps.Glib_jll]] +deps = ["Artifacts", "Gettext_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Libiconv_jll", "Libmount_jll", "PCRE2_jll", "Zlib_jll"] +git-tree-sha1 = "674ff0db93fffcd11a3573986e550d66cd4fd71f" +uuid = "7746bdde-850d-59dc-9ae8-88ece973131d" +version = "2.80.5+0" [[deps.Graphics]] deps = ["Colors", "LinearAlgebra", "NaNMath"] @@ -328,29 +418,58 @@ git-tree-sha1 = "d61890399bc535850c4bf08e4e0d3a7ad0f21cbd" uuid = "a2bd30eb-e257-5431-a919-1863eab51364" version = "1.1.2" +[[deps.Graphite2_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "01979f9b37367603e2848ea225918a3b3861b606" +uuid = "3b182d85-2403-5c21-9c21-1e1f0cc25472" +version = "1.3.14+1" + +[[deps.Grisu]] +git-tree-sha1 = "53bb909d1151e57e2484c3d1b53e19552b887fb2" +uuid = "42e2da0e-8278-4e71-bc24-59509adca0fe" +version = "1.0.2" + [[deps.H5Zblosc]] deps = ["Blosc", "HDF5"] -git-tree-sha1 = "d3966da25e48c05c31cd9786fd201627877612a2" +git-tree-sha1 = "d778420e524bcf56066e8c63c7aa315ae7269da2" uuid = "c8ec2601-a99c-407f-b158-e79c03c2f5f7" -version = "0.1.1" +version = "0.1.2" [[deps.HDF5]] -deps = ["Compat", "HDF5_jll", "Libdl", "Mmap", "Printf", "Random", "Requires", "UUIDs"] -git-tree-sha1 = "114e20044677badbc631ee6fdc80a67920561a29" +deps = ["Compat", "HDF5_jll", "Libdl", "MPIPreferences", "Mmap", "Preferences", "Printf", "Random", "Requires", "UUIDs"] +git-tree-sha1 = "e856eef26cf5bf2b0f95f8f4fc37553c72c8641c" uuid = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f" -version = "0.16.16" +version = "0.17.2" [[deps.HDF5_jll]] -deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LLVMOpenMP_jll", "LazyArtifacts", "LibCURL_jll", "Libdl", "MPICH_jll", "MPIPreferences", "MPItrampoline_jll", "MicrosoftMPI_jll", "OpenMPI_jll", "OpenSSL_jll", "TOML", "Zlib_jll", "libaec_jll"] -git-tree-sha1 = "38c8874692d48d5440d5752d6c74b0c6b0b60739" +deps = ["Artifacts", "JLLWrappers", "LibCURL_jll", "Libdl", "OpenSSL_jll", "Pkg", "Zlib_jll"] +git-tree-sha1 = "4cc2bb72df6ff40b055295fdef6d92955f9dede8" uuid = "0234f1f7-429e-5d53-9886-15a909be8d59" -version = "1.14.2+1" +version = "1.12.2+2" [[deps.HTTP]] deps = ["Base64", "CodecZlib", "ConcurrentUtilities", "Dates", "ExceptionUnwrapping", "Logging", "LoggingExtras", "MbedTLS", "NetworkOptions", "OpenSSL", "Random", "SimpleBufferStream", "Sockets", "URIs", "UUIDs"] -git-tree-sha1 = "5eab648309e2e060198b45820af1a37182de3cce" +git-tree-sha1 = "d1d712be3164d61d1fb98e7ce9bcbc6cc06b45ed" uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3" -version = "1.10.0" +version = "1.10.8" + +[[deps.HarfBuzz_jll]] +deps = ["Artifacts", "Cairo_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "Graphite2_jll", "JLLWrappers", "Libdl", "Libffi_jll"] +git-tree-sha1 = "401e4f3f30f43af2c8478fc008da50096ea5240f" +uuid = "2e76f6c2-a576-52d4-95c1-20adfe4de566" +version = "8.3.1+0" + +[[deps.HiGHS]] +deps = ["HiGHS_jll", "MathOptInterface", "PrecompileTools", "SparseArrays"] +git-tree-sha1 = "bad103266198176b0f88468523d7bbc33a762844" +uuid = "87dc4568-4c63-4d18-b0c0-bb2238e4078b" +version = "1.11.0" + +[[deps.HiGHS_jll]] +deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Zlib_jll"] +git-tree-sha1 = "c12314e192631fc302078e27a06da5ab51770e3b" +uuid = "8fd58aa0-07eb-5a78-9b36-339c94fd15ea" +version = "1.8.0+0" [[deps.ImageCore]] deps = ["AbstractFFTs", "ColorVectorSpace", "Colors", "FixedPointNumbers", "Graphics", "MappedArrays", "MosaicViews", "OffsetArrays", "PaddedViews", "Reexport"] @@ -358,27 +477,21 @@ git-tree-sha1 = "acf614720ef026d38400b3817614c45882d75500" uuid = "a09fc81d-aa75-5fe9-8630-4744c3626534" version = "0.9.4" -[[deps.InfrastructureModels]] -deps = ["JuMP", "Memento"] -git-tree-sha1 = "f9c1f6bdac8ad3fca6fc24fcf68256958ad84c28" -uuid = "2030c09a-7f63-5d83-885d-db604e0e9cc0" -version = "0.7.8" - [[deps.InlineStrings]] deps = ["Parsers"] -git-tree-sha1 = "9cc2baf75c6d09f9da536ddf58eb2f29dedaf461" +git-tree-sha1 = "45521d31238e87ee9f9732561bfee12d4eebd52d" uuid = "842dd82b-1e85-43dc-bf29-5d0ee9dffc48" -version = "1.4.0" +version = "1.4.2" [[deps.InteractiveUtils]] deps = ["Markdown"] uuid = "b77e0a4c-d291-57a0-90e8-8db25a27a240" [[deps.InverseFunctions]] -deps = ["Test"] -git-tree-sha1 = "68772f49f54b479fa88ace904f6127f0a3bb2e46" +deps = ["Dates", "Test"] +git-tree-sha1 = "a779299d77cd080bf77b97535acecd73e1c5e5cb" uuid = "3587e190-3f89-42d0-90ee-14403ec27112" -version = "0.1.12" +version = "0.1.17" [[deps.InvertedIndices]] git-tree-sha1 = "0dc7b50b8d436461be01300fd8cd45aa0274b038" @@ -397,15 +510,21 @@ version = "1.0.0" [[deps.JLD]] deps = ["Compat", "FileIO", "H5Zblosc", "HDF5", "Printf"] -git-tree-sha1 = "ec6afa4fd3402e4dd5b15b3e5dd2f7dd52043ce8" +git-tree-sha1 = "e42f32690d41f758e126a48ee43459ef91179d1f" uuid = "4138dd39-2aa7-5051-a626-17a0bb65d9c8" -version = "0.13.3" +version = "0.13.5" + +[[deps.JLFzf]] +deps = ["Pipe", "REPL", "Random", "fzf_jll"] +git-tree-sha1 = "39d64b09147620f5ffbf6b2d3255be3c901bec63" +uuid = "1019f520-868f-41f5-a6de-eb00f4b6a39c" +version = "0.1.8" [[deps.JLLWrappers]] deps = ["Artifacts", "Preferences"] -git-tree-sha1 = "7e5d6779a1e09a36db2a7b6cff50942a0a7d0fca" +git-tree-sha1 = "be3dc50a92e5a386872a493a10050136d4703f9b" uuid = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210" -version = "1.5.0" +version = "1.6.1" [[deps.JSON]] deps = ["Dates", "Mmap", "Parsers", "Unicode"] @@ -415,15 +534,27 @@ version = "0.21.4" [[deps.JpegTurbo_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "6f2675ef130a300a112286de91973805fcc5ffbc" +git-tree-sha1 = "25ee0be4d43d0269027024d75a24c24d6c6e590c" uuid = "aacddb02-875f-59d6-b918-886e6ef4fbf8" -version = "2.1.91+0" +version = "3.0.4+0" [[deps.JuMP]] -deps = ["LinearAlgebra", "MacroTools", "MathOptInterface", "MutableArithmetics", "OrderedCollections", "Printf", "SnoopPrecompile", "SparseArrays"] -git-tree-sha1 = "3700a700bc80856fe673b355123ae4574f2d5dfe" +deps = ["LinearAlgebra", "MacroTools", "MathOptInterface", "MutableArithmetics", "OrderedCollections", "PrecompileTools", "Printf", "SparseArrays"] +git-tree-sha1 = "c91f872c6150cf1471f9cb279f5e0dc09423bdcf" uuid = "4076af6c-e467-56ae-b986-b466b2749572" -version = "1.15.1" +version = "1.23.3" + +[[deps.Kerberos_krb5_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "60274b4ab38e8d1248216fe6b6ace75ae09b0502" +uuid = "b39eb1a6-c29a-53d7-8c32-632cd16f18da" +version = "1.19.3+0" + +[[deps.LAME_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "170b660facf5df5de098d866564877e119141cbd" +uuid = "c1c5ebd0-6772-5130-a774-d5fcae4a789d" +version = "3.100.2+0" [[deps.LERC_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] @@ -432,19 +563,33 @@ uuid = "88015f11-f218-50d7-93a8-a6af411a945d" version = "3.0.0+1" [[deps.LLVMOpenMP_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "f689897ccbe049adb19a065c495e75f372ecd42b" +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "78211fb6cbc872f77cad3fc0b6cf647d923f4929" uuid = "1d63c593-3942-5779-bab2-d838dc0a180e" -version = "15.0.4+0" +version = "18.1.7+0" + +[[deps.LRUCache]] +deps = ["Serialization"] +git-tree-sha1 = "b3cc6698599b10e652832c2f23db3cab99d51b59" +uuid = "8ac3fa9e-de4c-5943-b1dc-09c6b5f20637" +version = "1.6.1" + +[[deps.LZO_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "854a9c268c43b77b0a27f22d7fab8d33cdb3a731" +uuid = "dd4b983a-f0e5-5f8d-a1b7-129d4a5fb1ac" +version = "2.10.2+3" [[deps.LaTeXStrings]] -git-tree-sha1 = "f2355693d6778a178ade15952b7ac47a4ff97996" +git-tree-sha1 = "dda21b8cbd6a6c40d9d02a73230f9d70fed6918c" uuid = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f" -version = "1.3.0" +version = "1.4.0" -[[deps.LazyArtifacts]] -deps = ["Artifacts", "Pkg"] -uuid = "4af54fe1-eca0-43a8-85a7-787d91b784e3" +[[deps.Latexify]] +deps = ["Format", "InteractiveUtils", "LaTeXStrings", "MacroTools", "Markdown", "OrderedCollections", "Requires"] +git-tree-sha1 = "ce5f5621cac23a86011836badfedf664a612cee4" +uuid = "23fbe1c1-3f47-55db-b15f-69d7ec21a316" +version = "0.16.5" [[deps.LibCURL]] deps = ["LibCURL_jll", "MozillaCACerts_jll"] @@ -460,6 +605,12 @@ version = "7.84.0+0" deps = ["Base64", "NetworkOptions", "Printf", "SHA"] uuid = "76f85450-5226-5b5a-8eaa-529ad045b433" +[[deps.LibPQ_jll]] +deps = ["Artifacts", "JLLWrappers", "Kerberos_krb5_jll", "Libdl", "OpenSSL_jll", "Pkg"] +git-tree-sha1 = "a299629703a93d8efcefccfc16b18ad9a073d131" +uuid = "08be9ffa-1c94-5ee5-a977-46a84ec9b350" +version = "14.3.0+1" + [[deps.LibSSH2_jll]] deps = ["Artifacts", "Libdl", "MbedTLS_jll"] uuid = "29816b5a-b9ab-546f-933c-edad1886dfa8" @@ -468,17 +619,53 @@ version = "1.10.2+0" [[deps.Libdl]] uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb" +[[deps.Libffi_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "27ecae93dd25ee0909666e6835051dd684cc035e" +uuid = "e9f186c6-92d2-5b65-8a66-fee21dc1b490" +version = "3.2.2+2" + +[[deps.Libgcrypt_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgpg_error_jll"] +git-tree-sha1 = "9fd170c4bbfd8b935fdc5f8b7aa33532c991a673" +uuid = "d4300ac3-e22c-5743-9152-c294e39db1e4" +version = "1.8.11+0" + +[[deps.Libglvnd_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll", "Xorg_libXext_jll"] +git-tree-sha1 = "6f73d1dd803986947b2c750138528a999a6c7733" +uuid = "7e76a0d4-f3c7-5321-8279-8d96eeed0f29" +version = "1.6.0+0" + +[[deps.Libgpg_error_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "fbb1f2bef882392312feb1ede3615ddc1e9b99ed" +uuid = "7add5ba3-2f88-524e-9cd5-f83b8a55f7b8" +version = "1.49.0+0" + +[[deps.Libiconv_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "61dfdba58e585066d8bce214c5a51eaa0539f269" +uuid = "94ce4f54-9a6c-5748-9c1c-f9c7231a4531" +version = "1.17.0+1" + +[[deps.Libmount_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "0c4f9c4f1a50d8f35048fa0532dabbadf702f81e" +uuid = "4b2f31a3-9ecc-558c-b454-b3730dcb73e9" +version = "2.40.1+0" + [[deps.Libtiff_jll]] deps = ["Artifacts", "JLLWrappers", "JpegTurbo_jll", "LERC_jll", "Libdl", "Pkg", "Zlib_jll", "Zstd_jll"] git-tree-sha1 = "3eb79b0ca5764d4799c06699573fd8f533259713" uuid = "89763e89-9b03-5906-acba-b20f662cd828" version = "4.4.0+0" -[[deps.LinDistFlow]] -deps = ["JuMP", "LinearAlgebra", "PowerModelsDistribution", "SparseArrays"] -git-tree-sha1 = "c6c652ab975386cab61559e4ac861e8f75932e94" -uuid = "bf674bac-ffe4-48d3-9f32-72124ffa9ede" -version = "0.2.0" +[[deps.Libuuid_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "5ee6203157c120d79034c748a2acba45b82b8807" +uuid = "38a345b3-de98-5d2b-a5d3-14cd9215e700" +version = "2.40.1+0" [[deps.LinearAlgebra]] deps = ["Libdl", "libblastrampoline_jll"] @@ -492,9 +679,9 @@ version = "2.12.0+0" [[deps.LogExpFunctions]] deps = ["ChainRulesCore", "ChangesOfVariables", "DocStringExtensions", "InverseFunctions", "IrrationalConstants", "LinearAlgebra"] -git-tree-sha1 = "7d6dd4e9212aebaeed356de34ccf262a3cd415aa" +git-tree-sha1 = "a2d09619db4e765091ee5c6ffe8872849de0feea" uuid = "2ab3a3ac-af41-5b50-aa03-7779005ae688" -version = "0.3.26" +version = "0.3.28" [[deps.Logging]] uuid = "56ddb016-857b-54e1-b83d-db4d58db5568" @@ -507,33 +694,21 @@ version = "0.4.9" [[deps.Lz4_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "6c26c5e8a4203d43b5497be3ec5d4e0c3cde240a" +git-tree-sha1 = "abf88ff67f4fd89839efcae2f4c39cbc4ecd0846" uuid = "5ced341a-0733-55b8-9ab6-a4889d929147" version = "1.9.4+0" -[[deps.MPICH_jll]] -deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "MPIPreferences", "TOML"] -git-tree-sha1 = "2ee75365ca243c1a39d467e35ffd3d4d32eef11e" -uuid = "7cb0a576-ebde-5e09-9194-50597f1243b4" -version = "4.1.2+1" - [[deps.MPIPreferences]] deps = ["Libdl", "Preferences"] -git-tree-sha1 = "781916a2ebf2841467cda03b6f1af43e23839d85" +git-tree-sha1 = "c105fe467859e7f6e9a852cb15cb4301126fac07" uuid = "3da0fdf6-3ccc-4f1b-acd9-58baa6c99267" version = "0.1.9" -[[deps.MPItrampoline_jll]] -deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "MPIPreferences", "TOML"] -git-tree-sha1 = "8eeb3c73bbc0ca203d0dc8dad4008350bbe5797b" -uuid = "f1f71cc9-e9ae-5b93-9b94-4fe0e1ad3748" -version = "5.3.1+1" - [[deps.MacroTools]] deps = ["Markdown", "Random"] -git-tree-sha1 = "9ee1618cbf5240e6d4e0371d6f24065083f60c48" +git-tree-sha1 = "2fa9ee3e63fd3a4f7a9a4f4744a52f4856de82df" uuid = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09" -version = "0.5.11" +version = "0.5.13" [[deps.MappedArrays]] git-tree-sha1 = "2dab0221fe2b0f2cb6754eaa743cc266339f527e" @@ -546,38 +721,31 @@ uuid = "d6f4376e-aef5-505a-96c1-9c027394607a" [[deps.MathOptInterface]] deps = ["BenchmarkTools", "CodecBzip2", "CodecZlib", "DataStructures", "ForwardDiff", "JSON", "LinearAlgebra", "MutableArithmetics", "NaNMath", "OrderedCollections", "PrecompileTools", "Printf", "SparseArrays", "SpecialFunctions", "Test", "Unicode"] -git-tree-sha1 = "5c9f1e635e8d491297e596b56fec1c95eafb95a3" +git-tree-sha1 = "c7fff4fbc415a6833988efbda7621039af2a5f36" uuid = "b8f27783-ece8-5eb3-8dc8-9495eed66fee" -version = "1.20.1" +version = "1.32.0" [[deps.MbedTLS]] -deps = ["Dates", "MbedTLS_jll", "MozillaCACerts_jll", "Random", "Sockets"] -git-tree-sha1 = "03a9b9718f5682ecb107ac9f7308991db4ce395b" +deps = ["Dates", "MbedTLS_jll", "MozillaCACerts_jll", "NetworkOptions", "Random", "Sockets"] +git-tree-sha1 = "c067a280ddc25f196b5e7df3877c6b226d390aaf" uuid = "739be429-bea8-5141-9913-cc70e7f3736d" -version = "1.1.7" +version = "1.1.9" [[deps.MbedTLS_jll]] deps = ["Artifacts", "Libdl"] uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1" version = "2.28.0+0" -[[deps.Memento]] -deps = ["Dates", "Distributed", "Requires", "Serialization", "Sockets", "Test", "UUIDs"] -git-tree-sha1 = "bb2e8f4d9f400f6e90d57b34860f6abdc51398e5" -uuid = "f28f55f0-a522-5efc-85c2-fe41dfb9b2d9" -version = "1.4.1" - -[[deps.MicrosoftMPI_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "bc95bf4149bf535c09602e3acdf950d9b4376227" -uuid = "9237b28f-5490-5468-be7b-bb81f5f5e6cf" -version = "10.1.4+3" +[[deps.Measures]] +git-tree-sha1 = "c13304c81eec1ed3af7fc20e75fb6b26092a1102" +uuid = "442fdcdd-2543-5da2-b0f3-8c86c306513e" +version = "0.3.2" [[deps.Missings]] deps = ["DataAPI"] -git-tree-sha1 = "f66bdc5de519e8f8ae43bdc598782d35a25b1272" +git-tree-sha1 = "ec4f7fbeab05d7747bdf98eb74d130a2a2ed298d" uuid = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28" -version = "1.1.0" +version = "1.2.0" [[deps.Mmap]] uuid = "a63ad114-7e13-5084-954f-fe012c677804" @@ -594,9 +762,9 @@ version = "2022.2.1" [[deps.MutableArithmetics]] deps = ["LinearAlgebra", "SparseArrays", "Test"] -git-tree-sha1 = "6985021d02ab8c509c841bb8b2becd3145a7b490" +git-tree-sha1 = "90077f1e79de8c9c7c8a90644494411111f4e07b" uuid = "d8a4904e-b15c-11e9-3269-09a3773c0cb0" -version = "1.3.3" +version = "1.5.2" [[deps.NaNMath]] deps = ["OpenLibm_jll"] @@ -604,15 +772,27 @@ git-tree-sha1 = "0877504529a3e5c3343c6f8b4c0381e57e4387e4" uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3" version = "1.0.2" +[[deps.NetCDF_jll]] +deps = ["Artifacts", "HDF5_jll", "JLLWrappers", "LibCURL_jll", "Libdl", "XML2_jll", "Zlib_jll"] +git-tree-sha1 = "7f5a03e6712f5447c9c344430b8d1927a4777483" +uuid = "7243133f-43d8-5620-bbf4-c2c921802cf3" +version = "400.902.206+0" + [[deps.NetworkOptions]] uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908" version = "1.2.0" [[deps.OffsetArrays]] deps = ["Adapt"] -git-tree-sha1 = "2ac17d29c523ce1cd38e27785a7d23024853a4bb" +git-tree-sha1 = "1a27764e945a152f7ca7efa04de513d473e9542e" uuid = "6fe1bfb0-de20-5000-8ca7-80f57d26f881" -version = "1.12.10" +version = "1.14.1" + +[[deps.Ogg_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "887579a3eb005446d514ab7aeac5d1d027658b8f" +uuid = "e7412a2a-1a6e-54c0-be00-318e2571c051" +version = "1.3.5+1" [[deps.OpenBLAS_jll]] deps = ["Artifacts", "CompilerSupportLibraries_jll", "Libdl"] @@ -630,34 +810,39 @@ deps = ["Artifacts", "Libdl"] uuid = "05823500-19ac-5b8b-9628-191a04bc5112" version = "0.8.1+0" -[[deps.OpenMPI_jll]] -deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "MPIPreferences", "TOML"] -git-tree-sha1 = "e25c1778a98e34219a00455d6e4384e017ea9762" -uuid = "fe0851c0-eecd-5654-98d4-656369965a5c" -version = "4.1.6+0" - [[deps.OpenSSL]] deps = ["BitFlags", "Dates", "MozillaCACerts_jll", "OpenSSL_jll", "Sockets"] -git-tree-sha1 = "51901a49222b09e3743c65b8847687ae5fc78eb2" +git-tree-sha1 = "38cb508d080d21dc1128f7fb04f20387ed4c0af4" uuid = "4d8831e6-92b7-49fb-bdf8-b643e874388c" -version = "1.4.1" +version = "1.4.3" [[deps.OpenSSL_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "ceeda72c9fd6bbebc4f4f598560789145a8b6c4c" +git-tree-sha1 = "ad31332567b189f508a3ea8957a2640b1147ab00" uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95" -version = "3.0.11+0" +version = "1.1.23+1" [[deps.OpenSpecFun_jll]] deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "13652491f6856acfd2db29360e1bbcd4565d04f1" uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e" -version = "0.5.5+0" +version = "0.5.5+2" + +[[deps.Opus_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "6703a85cb3781bd5909d48730a67205f3f31a575" +uuid = "91d4177d-7536-5919-b921-800302f37372" +version = "1.3.3+0" [[deps.OrderedCollections]] -git-tree-sha1 = "2e73fe17cac3c62ad1aebe70d44c963c3cfdc3e3" +git-tree-sha1 = "dfdf5519f235516220579f949664f1bf44e741c5" uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d" -version = "1.6.2" +version = "1.6.3" + +[[deps.PCRE2_jll]] +deps = ["Artifacts", "Libdl"] +uuid = "efcefdf7-47ab-520b-bdef-62a2eaa19f15" +version = "10.40.0+0" [[deps.PROJ_jll]] deps = ["Artifacts", "JLLWrappers", "LibCURL_jll", "Libdl", "Libtiff_jll", "Pkg", "SQLite_jll"] @@ -671,22 +856,51 @@ git-tree-sha1 = "0fac6313486baae819364c52b4f483450a9d793f" uuid = "5432bcbf-9aad-5242-b902-cca2824c8663" version = "0.5.12" +[[deps.Pango_jll]] +deps = ["Artifacts", "Cairo_jll", "Fontconfig_jll", "FreeType2_jll", "FriBidi_jll", "Glib_jll", "HarfBuzz_jll", "JLLWrappers", "Libdl"] +git-tree-sha1 = "e127b609fb9ecba6f201ba7ab753d5a605d53801" +uuid = "36c8627f-9965-5494-a995-c6b170f724f3" +version = "1.54.1+0" + [[deps.Parsers]] deps = ["Dates", "PrecompileTools", "UUIDs"] -git-tree-sha1 = "716e24b21538abc91f6205fd1d8363f39b442851" +git-tree-sha1 = "8489905bcdbcfac64d1daa51ca07c0d8f0283821" uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0" -version = "2.7.2" +version = "2.8.1" + +[[deps.Pipe]] +git-tree-sha1 = "6842804e7867b115ca9de748a0cf6b364523c16d" +uuid = "b98c9c47-44ae-5843-9183-064241ee97a0" +version = "1.3.0" + +[[deps.Pixman_jll]] +deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LLVMOpenMP_jll", "Libdl"] +git-tree-sha1 = "35621f10a7531bc8fa58f74610b1bfb70a3cfc6b" +uuid = "30392449-352a-5448-841d-b1acce4e97dc" +version = "0.43.4+0" [[deps.Pkg]] deps = ["Artifacts", "Dates", "Downloads", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"] uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" version = "1.8.0" -[[deps.PolyhedralRelaxations]] -deps = ["DataStructures", "ForwardDiff", "JuMP", "Logging", "LoggingExtras"] -git-tree-sha1 = "05f2adc696ae9a99be3de99dd8970d00a4dccefe" -uuid = "2e741578-48fa-11ea-2d62-b52c946f73a0" -version = "0.3.5" +[[deps.PlotThemes]] +deps = ["PlotUtils", "Statistics"] +git-tree-sha1 = "6e55c6841ce3411ccb3457ee52fc48cb698d6fb0" +uuid = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a" +version = "3.2.0" + +[[deps.PlotUtils]] +deps = ["ColorSchemes", "Colors", "Dates", "PrecompileTools", "Printf", "Random", "Reexport", "StableRNGs", "Statistics"] +git-tree-sha1 = "650a022b2ce86c7dcfbdecf00f78afeeb20e5655" +uuid = "995b91a9-d308-5afd-9ec6-746e21dbc043" +version = "1.4.2" + +[[deps.Plots]] +deps = ["Base64", "Contour", "Dates", "Downloads", "FFMPEG", "FixedPointNumbers", "GR", "JLFzf", "JSON", "LaTeXStrings", "Latexify", "LinearAlgebra", "Measures", "NaNMath", "Pkg", "PlotThemes", "PlotUtils", "PrecompileTools", "Printf", "REPL", "Random", "RecipesBase", "RecipesPipeline", "Reexport", "RelocatableFolders", "Requires", "Scratch", "Showoff", "SparseArrays", "Statistics", "StatsBase", "TOML", "UUIDs", "UnicodeFun", "UnitfulLatexify", "Unzip"] +git-tree-sha1 = "f202a1ca4f6e165238d8175df63a7e26a51e04dc" +uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" +version = "1.40.7" [[deps.PooledArrays]] deps = ["DataAPI", "Future"] @@ -694,29 +908,23 @@ git-tree-sha1 = "36d8b4b899628fb92c2749eb488d884a926614d3" uuid = "2dfb63ee-cc39-5dd5-95bd-886bf059d720" version = "1.4.3" -[[deps.PowerModelsDistribution]] -deps = ["CSV", "Dates", "FilePaths", "Glob", "InfrastructureModels", "JSON", "JuMP", "LinearAlgebra", "Logging", "LoggingExtras", "PolyhedralRelaxations", "SparseArrays", "SpecialFunctions", "Statistics"] -git-tree-sha1 = "60b4d3446f0ddce0f86ec779438c7fa3772ca216" -uuid = "d7431456-977f-11e9-2de3-97ff7677985e" -version = "0.14.9" - [[deps.PrecompileTools]] deps = ["Preferences"] -git-tree-sha1 = "03b4c25b43cb84cee5c90aa9b5ea0a78fd848d2f" +git-tree-sha1 = "5aa36f7049a63a1528fe8f7c3f2113413ffd4e1f" uuid = "aea7be01-6a6a-4083-8856-8a6e6704d82a" -version = "1.2.0" +version = "1.2.1" [[deps.Preferences]] deps = ["TOML"] -git-tree-sha1 = "00805cd429dcb4870060ff49ef443486c262e38e" +git-tree-sha1 = "9306f6085165d270f7e3db02af26a400d580f5c6" uuid = "21216c6a-2e73-6563-6e65-726566657250" -version = "1.4.1" +version = "1.4.3" [[deps.PrettyTables]] -deps = ["Crayons", "LaTeXStrings", "Markdown", "Printf", "Reexport", "StringManipulation", "Tables"] -git-tree-sha1 = "ee094908d720185ddbdc58dbe0c1cbe35453ec7a" +deps = ["Crayons", "LaTeXStrings", "Markdown", "PrecompileTools", "Printf", "Reexport", "StringManipulation", "Tables"] +git-tree-sha1 = "66b20dd35966a748321d3b2537c4584cf40387c7" uuid = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d" -version = "2.2.7" +version = "2.3.2" [[deps.Printf]] deps = ["Unicode"] @@ -726,6 +934,12 @@ uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7" deps = ["Printf"] uuid = "9abbd945-dff8-562f-b5e8-e1ebf5ef1b79" +[[deps.Qt5Base_jll]] +deps = ["Artifacts", "CompilerSupportLibraries_jll", "Fontconfig_jll", "Glib_jll", "JLLWrappers", "Libdl", "Libglvnd_jll", "OpenSSL_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libxcb_jll", "Xorg_xcb_util_image_jll", "Xorg_xcb_util_keysyms_jll", "Xorg_xcb_util_renderutil_jll", "Xorg_xcb_util_wm_jll", "Zlib_jll", "xkbcommon_jll"] +git-tree-sha1 = "0c03844e2231e12fda4d0086fd7cbe4098ee8dc5" +uuid = "ea2cea3b-5b76-57ae-a6ef-0a8af62496e1" +version = "5.15.3+2" + [[deps.REPL]] deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"] uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb" @@ -740,11 +954,23 @@ git-tree-sha1 = "5c3d09cc4f31f5fc6af001c250bf1278733100ff" uuid = "3cdcf5f2-1ef4-517c-9805-6587b60abb01" version = "1.3.4" +[[deps.RecipesPipeline]] +deps = ["Dates", "NaNMath", "PlotUtils", "PrecompileTools", "RecipesBase"] +git-tree-sha1 = "45cf9fd0ca5839d06ef333c8201714e888486342" +uuid = "01d81517-befc-4cb6-b9ec-a95719d0359c" +version = "0.6.12" + [[deps.Reexport]] git-tree-sha1 = "45e428421666073eab6f2da5c9d310d99bb12f9b" uuid = "189a3867-3050-52da-a836-e630ba90ab69" version = "1.2.2" +[[deps.RelocatableFolders]] +deps = ["SHA", "Scratch"] +git-tree-sha1 = "ffdaf70d81cf6ff22c2b6e733c900c3321cab864" +uuid = "05181044-ff0b-4ac5-8273-598c1e38db00" +version = "1.0.1" + [[deps.Requires]] deps = ["UUIDs"] git-tree-sha1 = "838a3a4188e2ded87a4f9f184b4b0d78a1e91cb7" @@ -752,10 +978,10 @@ uuid = "ae029012-a4dd-5104-9daa-d747884805df" version = "1.3.0" [[deps.Roots]] -deps = ["ChainRulesCore", "CommonSolve", "Printf", "Setfield"] -git-tree-sha1 = "06b5ac80ff1b88bd82df92c1c1875eea3954cd6e" +deps = ["Accessors", "ChainRulesCore", "CommonSolve", "Printf"] +git-tree-sha1 = "3a7c7e5c3f015415637f5debdf8a674aa2c979c4" uuid = "f2b01f46-fcfa-551c-844a-d8ac1e96c665" -version = "2.0.20" +version = "2.2.1" [[deps.SHA]] uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce" @@ -763,44 +989,44 @@ version = "0.7.0" [[deps.SQLite_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Zlib_jll"] -git-tree-sha1 = "81f7d934b52b2441f7b44520bd982fdb3607b0da" +git-tree-sha1 = "004fffbe2711abdc7263a980bbb1af9620781dd9" uuid = "76ed43ae-9a5d-5a62-8c75-30186b810ce8" -version = "3.43.0+0" +version = "3.45.3+0" + +[[deps.Scratch]] +deps = ["Dates"] +git-tree-sha1 = "3bac05bc7e74a75fd9cba4295cde4045d9fe2386" +uuid = "6c6a2e73-6563-6170-7368-637461726353" +version = "1.2.1" [[deps.SentinelArrays]] deps = ["Dates", "Random"] -git-tree-sha1 = "04bdff0b09c65ff3e06a05e3eb7b120223da3d39" +git-tree-sha1 = "ff11acffdb082493657550959d4feb4b6149e73a" uuid = "91c51154-3ec4-41a3-a24f-3f23e20d615c" -version = "1.4.0" +version = "1.4.5" [[deps.Serialization]] uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b" -[[deps.Setfield]] -deps = ["ConstructionBase", "Future", "MacroTools", "StaticArraysCore"] -git-tree-sha1 = "e2cc6d8c88613c05e1defb55170bf5ff211fbeac" -uuid = "efcf1570-3423-57d1-acb7-fd33fddbac46" -version = "1.1.1" +[[deps.Showoff]] +deps = ["Dates", "Grisu"] +git-tree-sha1 = "91eddf657aca81df9ae6ceb20b959ae5653ad1de" +uuid = "992d4aef-0814-514b-bc4d-f2e9a6c4116f" +version = "1.0.3" [[deps.SimpleBufferStream]] -git-tree-sha1 = "874e8867b33a00e784c8a7e4b60afe9e037b74e1" +git-tree-sha1 = "f305871d2f381d21527c770d4788c06c097c9bc1" uuid = "777ac1f9-54b0-4bf8-805c-2214025038e7" -version = "1.1.0" - -[[deps.SnoopPrecompile]] -deps = ["Preferences"] -git-tree-sha1 = "e760a70afdcd461cf01a575947738d359234665c" -uuid = "66db9d55-30c0-4569-8b51-7e840670fc0c" -version = "1.0.3" +version = "1.2.0" [[deps.Sockets]] uuid = "6462fe0b-24de-5631-8697-dd941f90decc" [[deps.SortingAlgorithms]] deps = ["DataStructures"] -git-tree-sha1 = "c60ec5c62180f27efea3ba2908480f8055e17cee" +git-tree-sha1 = "66e0a8e672a0bdfca2c3f5937efb8538b9ddc085" uuid = "a2af1166-a08f-5f64-846c-94a0d3cef48c" -version = "1.1.1" +version = "1.2.1" [[deps.SparseArrays]] deps = ["LinearAlgebra", "Random"] @@ -808,9 +1034,15 @@ uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf" [[deps.SpecialFunctions]] deps = ["ChainRulesCore", "IrrationalConstants", "LogExpFunctions", "OpenLibm_jll", "OpenSpecFun_jll"] -git-tree-sha1 = "e2cfc4012a19088254b3950b85c3c1d8882d864d" +git-tree-sha1 = "2f5d4697f21388cbe1ff299430dd169ef97d7e14" uuid = "276daf66-3868-5448-9aa4-cd146d93841b" -version = "2.3.1" +version = "2.4.0" + +[[deps.StableRNGs]] +deps = ["Random"] +git-tree-sha1 = "83e6cce8324d49dfaf9ef059227f91ed4441a8e5" +uuid = "860ef19b-820b-49d6-a774-d7a799459cd3" +version = "1.0.2" [[deps.StackViews]] deps = ["OffsetArrays"] @@ -819,20 +1051,32 @@ uuid = "cae243ae-269e-4f55-b966-ac2d0dc13c15" version = "0.1.1" [[deps.StaticArrays]] -deps = ["LinearAlgebra", "Random", "StaticArraysCore", "Statistics"] -git-tree-sha1 = "0adf069a2a490c47273727e029371b31d44b72b2" +deps = ["LinearAlgebra", "PrecompileTools", "Random", "StaticArraysCore", "Statistics"] +git-tree-sha1 = "777657803913ffc7e8cc20f0fd04b634f871af8f" uuid = "90137ffa-7385-5640-81b9-e52037218182" -version = "1.6.5" +version = "1.9.8" [[deps.StaticArraysCore]] -git-tree-sha1 = "36b3d696ce6366023a0ea192b4cd442268995a0d" +git-tree-sha1 = "192954ef1208c7019899fbf8049e717f92959682" uuid = "1e83bf80-4336-4d27-bf5d-d5a4f845583c" -version = "1.4.2" +version = "1.4.3" [[deps.Statistics]] deps = ["LinearAlgebra", "SparseArrays"] uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" +[[deps.StatsAPI]] +deps = ["LinearAlgebra"] +git-tree-sha1 = "1ff449ad350c9c4cbc756624d6f8a8c3ef56d3ed" +uuid = "82ae8749-77ed-4fe6-ae5f-f523153014b0" +version = "1.7.0" + +[[deps.StatsBase]] +deps = ["DataAPI", "DataStructures", "LinearAlgebra", "LogExpFunctions", "Missings", "Printf", "Random", "SortingAlgorithms", "SparseArrays", "Statistics", "StatsAPI"] +git-tree-sha1 = "5cf7606d6cef84b543b483848d4ae08ad9832b21" +uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91" +version = "0.34.3" + [[deps.StringManipulation]] deps = ["PrecompileTools"] git-tree-sha1 = "a04cabe79c5f01f4d723cc6704070ada0b9d46d5" @@ -851,10 +1095,10 @@ uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c" version = "1.0.1" [[deps.Tables]] -deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "OrderedCollections", "TableTraits"] -git-tree-sha1 = "a1f34829d5ac0ef499f6d84428bd6b4c71f02ead" +deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "OrderedCollections", "TableTraits"] +git-tree-sha1 = "598cd7c1f68d1e205689b1c2fe65a9f85846f297" uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c" -version = "1.11.0" +version = "1.12.0" [[deps.Tar]] deps = ["ArgTools", "SHA"] @@ -873,20 +1117,19 @@ uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40" [[deps.TestEnv]] deps = ["Pkg"] -git-tree-sha1 = "8216a7f6946fb52123d0a178742003429897c21a" +git-tree-sha1 = "2a57e05cb9854e7260c354f1bcdbe5190adba19f" uuid = "1e6cf692-eddd-4d53-88a5-2d735e33781b" -version = "1.101.0" +version = "1.102.0" [[deps.TranscodingStreams]] -deps = ["Random", "Test"] -git-tree-sha1 = "9a6ae7ed916312b41236fcef7e0af564ef934769" +git-tree-sha1 = "0c45878dcfdcfa8480052b6ab162cdd138781742" uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa" -version = "0.9.13" +version = "0.11.3" [[deps.URIs]] -git-tree-sha1 = "b7a5e99f24892b6824a954199a45e9ffcc1c70f0" +git-tree-sha1 = "67db6cc7b3821e19ebe75791a9dd19c9b1188f2b" uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4" -version = "1.5.0" +version = "1.5.1" [[deps.UUIDs]] deps = ["Random", "SHA"] @@ -895,11 +1138,40 @@ uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4" [[deps.Unicode]] uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5" +[[deps.UnicodeFun]] +deps = ["REPL"] +git-tree-sha1 = "53915e50200959667e78a92a418594b428dffddf" +uuid = "1cfade01-22cf-5700-b092-accc4b62d6e1" +version = "0.4.1" + [[deps.Unitful]] deps = ["ConstructionBase", "Dates", "InverseFunctions", "LinearAlgebra", "Random"] -git-tree-sha1 = "a72d22c7e13fe2de562feda8645aa134712a87ee" +git-tree-sha1 = "d95fe458f26209c66a187b1114df96fd70839efd" uuid = "1986cc42-f94f-5a68-af5c-568840ba703d" -version = "1.17.0" +version = "1.21.0" + +[[deps.UnitfulLatexify]] +deps = ["LaTeXStrings", "Latexify", "Unitful"] +git-tree-sha1 = "975c354fcd5f7e1ddcc1f1a23e6e091d99e99bc8" +uuid = "45397f5d-5981-4c77-b2b3-fc36d6e9b728" +version = "1.6.4" + +[[deps.Unzip]] +git-tree-sha1 = "ca0969166a028236229f63514992fc073799bb78" +uuid = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d" +version = "0.2.0" + +[[deps.Wayland_jll]] +deps = ["Artifacts", "EpollShim_jll", "Expat_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg", "XML2_jll"] +git-tree-sha1 = "85c7811eddec9e7f22615371c3cc81a504c508ee" +uuid = "a2964d1f-97da-50d4-b82a-358c7fce9d89" +version = "1.21.0+2" + +[[deps.Wayland_protocols_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "93f43ab61b16ddfb2fd3bb13b3ce241cafb0e6c9" +uuid = "2381bf8a-dfd0-557d-9999-79630e7b1b91" +version = "1.31.0+0" [[deps.WeakRefStrings]] deps = ["DataAPI", "InlineStrings", "Parsers"] @@ -912,6 +1184,144 @@ git-tree-sha1 = "cd1659ba0d57b71a464a29e64dbc67cfe83d54e7" uuid = "76eceee3-57b5-4d4a-8e66-0e911cebbf60" version = "1.6.1" +[[deps.XML2_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Zlib_jll"] +git-tree-sha1 = "1165b0443d0eca63ac1e32b8c0eb69ed2f4f8127" +uuid = "02c8fc9c-b97f-50b9-bbe4-9be30ff0a78a" +version = "2.13.3+0" + +[[deps.XSLT_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgcrypt_jll", "Libgpg_error_jll", "Libiconv_jll", "XML2_jll", "Zlib_jll"] +git-tree-sha1 = "a54ee957f4c86b526460a720dbc882fa5edcbefc" +uuid = "aed1982a-8fda-507f-9586-7b0439959a61" +version = "1.1.41+0" + +[[deps.Xorg_libX11_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libxcb_jll", "Xorg_xtrans_jll"] +git-tree-sha1 = "9dafcee1d24c4f024e7edc92603cedba72118283" +uuid = "4f6342f7-b3d2-589e-9d20-edeb45f2b2bc" +version = "1.8.6+3" + +[[deps.Xorg_libXau_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "2b0e27d52ec9d8d483e2ca0b72b3cb1a8df5c27a" +uuid = "0c0b7dd1-d40b-584c-a123-a41640f87eec" +version = "1.0.11+3" + +[[deps.Xorg_libXcursor_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXfixes_jll", "Xorg_libXrender_jll"] +git-tree-sha1 = "12e0eb3bc634fa2080c1c37fccf56f7c22989afd" +uuid = "935fb764-8cf2-53bf-bb30-45bb1f8bf724" +version = "1.2.0+4" + +[[deps.Xorg_libXdmcp_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "02054ee01980c90297412e4c809c8694d7323af3" +uuid = "a3789734-cfe1-5b06-b2d0-1dd0d9d62d05" +version = "1.1.4+3" + +[[deps.Xorg_libXext_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libX11_jll"] +git-tree-sha1 = "d7155fea91a4123ef59f42c4afb5ab3b4ca95058" +uuid = "1082639a-0dae-5f34-9b06-72781eeb8cb3" +version = "1.3.6+3" + +[[deps.Xorg_libXfixes_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] +git-tree-sha1 = "0e0dc7431e7a0587559f9294aeec269471c991a4" +uuid = "d091e8ba-531a-589c-9de9-94069b037ed8" +version = "5.0.3+4" + +[[deps.Xorg_libXi_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXfixes_jll"] +git-tree-sha1 = "89b52bc2160aadc84d707093930ef0bffa641246" +uuid = "a51aa0fd-4e3c-5386-b890-e753decda492" +version = "1.7.10+4" + +[[deps.Xorg_libXinerama_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll"] +git-tree-sha1 = "26be8b1c342929259317d8b9f7b53bf2bb73b123" +uuid = "d1454406-59df-5ea1-beac-c340f2130bc3" +version = "1.1.4+4" + +[[deps.Xorg_libXrandr_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll"] +git-tree-sha1 = "34cea83cb726fb58f325887bf0612c6b3fb17631" +uuid = "ec84b674-ba8e-5d96-8ba1-2a689ba10484" +version = "1.5.2+4" + +[[deps.Xorg_libXrender_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libX11_jll"] +git-tree-sha1 = "a490c6212a0e90d2d55111ac956f7c4fa9c277a6" +uuid = "ea2f1a96-1ddc-540d-b46f-429655e07cfa" +version = "0.9.11+1" + +[[deps.Xorg_libpthread_stubs_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = 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"35661453-b289-5fab-8a00-3d9160c6a3a4" +version = "1.4.6+1" + +[[deps.Xorg_xkeyboard_config_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_xkbcomp_jll"] +git-tree-sha1 = "691634e5453ad362044e2ad653e79f3ee3bb98c3" +uuid = "33bec58e-1273-512f-9401-5d533626f822" +version = "2.39.0+0" + +[[deps.Xorg_xtrans_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "b9ead2d2bdb27330545eb14234a2e300da61232e" +uuid = "c5fb5394-a638-5e4d-96e5-b29de1b5cf10" +version = "1.5.0+3" + [[deps.Zlib_jll]] deps = ["Libdl"] uuid = "83775a58-1f1d-513f-b197-d71354ab007a" @@ -919,21 +1329,45 @@ version = "1.2.12+3" [[deps.Zstd_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "49ce682769cd5de6c72dcf1b94ed7790cd08974c" +git-tree-sha1 = "555d1076590a6cc2fdee2ef1469451f872d8b41b" uuid = "3161d3a3-bdf6-5164-811a-617609db77b4" -version = "1.5.5+0" +version = "1.5.6+3" + +[[deps.fzf_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "936081b536ae4aa65415d869287d43ef3cb576b2" +uuid = "214eeab7-80f7-51ab-84ad-2988db7cef09" +version = "0.53.0+0" -[[deps.libaec_jll]] +[[deps.libaom_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] -git-tree-sha1 = "eddd19a8dea6b139ea97bdc8a0e2667d4b661720" -uuid = "477f73a3-ac25-53e9-8cc3-50b2fa2566f0" -version = "1.0.6+1" +git-tree-sha1 = "1827acba325fdcdf1d2647fc8d5301dd9ba43a9d" +uuid = "a4ae2306-e953-59d6-aa16-d00cac43593b" +version = "3.9.0+0" + +[[deps.libass_jll]] +deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "HarfBuzz_jll", "JLLWrappers", "Libdl", "Zlib_jll"] +git-tree-sha1 = "e17c115d55c5fbb7e52ebedb427a0dca79d4484e" +uuid = "0ac62f75-1d6f-5e53-bd7c-93b484bb37c0" +version = "0.15.2+0" [[deps.libblastrampoline_jll]] deps = ["Artifacts", "Libdl", "OpenBLAS_jll"] uuid = "8e850b90-86db-534c-a0d3-1478176c7d93" version = "5.1.1+0" +[[deps.libdecor_jll]] +deps = ["Artifacts", "Dbus_jll", "JLLWrappers", "Libdl", "Libglvnd_jll", "Pango_jll", "Wayland_jll", "xkbcommon_jll"] +git-tree-sha1 = "9bf7903af251d2050b467f76bdbe57ce541f7f4f" +uuid = "1183f4f0-6f2a-5f1a-908b-139f9cdfea6f" +version = "0.2.2+0" + +[[deps.libfdk_aac_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "8a22cf860a7d27e4f3498a0fe0811a7957badb38" +uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280" +version = "2.0.3+0" + [[deps.libgeotiff_jll]] deps = ["Artifacts", "JLLWrappers", "LibCURL_jll", "Libdl", "Libtiff_jll", "PROJ_jll", "Pkg"] git-tree-sha1 = "13dfba87a1fe301c4b40f991d0ec990bbee59bbe" @@ -944,7 +1378,13 @@ version = "100.700.100+0" deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "f7c281e9c61905521993a987d38b5ab1d4b53bef" uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f" -version = "1.6.38+1" +version = "1.6.44+2" + +[[deps.libvorbis_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Ogg_jll", "Pkg"] +git-tree-sha1 = "490376214c4721cdaca654041f635213c6165cb3" +uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a" +version = "1.3.7+2" [[deps.nghttp2_jll]] deps = ["Artifacts", "Libdl"] @@ -955,3 +1395,21 @@ version = "1.48.0+0" deps = ["Artifacts", "Libdl"] uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" version = "17.4.0+0" + +[[deps.x264_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "4fea590b89e6ec504593146bf8b988b2c00922b2" +uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a" +version = "2021.5.5+0" + +[[deps.x265_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "ee567a171cce03570d77ad3a43e90218e38937a9" +uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76" +version = "3.5.0+0" + +[[deps.xkbcommon_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll", "Wayland_protocols_jll", "Xorg_libxcb_jll", "Xorg_xkeyboard_config_jll"] +git-tree-sha1 = "63406453ed9b33a0df95d570816d5366c92b7809" +uuid = "d8fb68d0-12a3-5cfd-a85a-d49703b185fd" +version = "1.4.1+2" diff --git a/Project.toml b/Project.toml index 111735afd..3a10b19e4 100644 --- a/Project.toml +++ b/Project.toml @@ -11,13 +11,14 @@ DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0" Dates = "ade2ca70-3891-5945-98fb-dc099432e06a" DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab" HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3" +HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b" JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8" JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6" JuMP = "4076af6c-e467-56ae-b986-b466b2749572" -LinDistFlow = "bf674bac-ffe4-48d3-9f32-72124ffa9ede" LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e" Logging = "56ddb016-857b-54e1-b83d-db4d58db5568" MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee" +Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" Requires = "ae029012-a4dd-5104-9daa-d747884805df" Roots = "f2b01f46-fcfa-551c-844a-d8ac1e96c665" Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" @@ -25,21 +26,20 @@ TestEnv = "1e6cf692-eddd-4d53-88a5-2d735e33781b" [compat] ArchGDAL = "0.8, 0.9" -CoolProp = "0.1" CSV = "0.10" +CoolProp = "0.1" DataFrames = "1.4" +Dates = "1" +DelimitedFiles = "1" HTTP = "0.8, 0.9, 1" JLD = "0.13" JSON = "0.21" JuMP = "0.21, 0.22, 0.23, 1" -LinDistFlow = "0.1, 0.2" +LinearAlgebra = "1" +Logging = "1" MathOptInterface = "0.9, 0.10, 1" Requires = "1.3" Roots = "1.3, 2" -TestEnv = "1.7, 1.8, 1.9" -Dates = "1" -DelimitedFiles = "1" -LinearAlgebra = "1" -Logging = "1" Statistics = "1" +TestEnv = "1.7, 1.8, 1.9" julia = "1.4, 1.5, 1.6, 1.7, 1.8" diff --git a/src/REopt.jl b/src/REopt.jl index 5ff756e2f..fae03b330 100644 --- a/src/REopt.jl +++ b/src/REopt.jl @@ -11,7 +11,6 @@ export simulate_outages, add_variables!, add_objective!, - LinDistFlow, MPCScenario, MPCInputs, run_mpc, @@ -30,9 +29,6 @@ export import HTTP import JSON -using LinDistFlow # required to export LinDistFlow -import LinDistFlow -const LDF = LinDistFlow using JuMP using JuMP.Containers: DenseAxisArray using Logging @@ -52,9 +48,14 @@ using CoolProp using LinearAlgebra using CSV using DataFrames +using Plots +import Plots +using HiGHS function __init__() @require GhpGhx="7ce85f02-24a8-4d69-a3f0-14b5daa7d30c" println("using GhpGhx module in REopt") + @require PowerModelsDistribution="d7431456-977f-11e9-2de3-97ff7677985e" println("using the PowerModelsDistribution package") # This will load whichever feature branch you have installed in the coding environment + @require Xpress="9e70acf3-d6c9-5be6-b5bd-4e2c73e3e054" println("using the Xpress package") end const EXISTING_BOILER_EFFICIENCY = 0.8 @@ -195,11 +196,15 @@ include("results/electric_heater.jl") include("results/ashp.jl") include("core/reopt.jl") -include("core/reopt_multinode.jl") include("outagesim/outage_simulator.jl") include("outagesim/backup_reliability.jl") -include("lindistflow/extend.jl") +include("multinode/reopt_multinode.jl") +include("multinode/multinode.jl") +include("multinode/multinode_outage_simulator.jl") +include("multinode/multinode_results_processing.jl") +include("multinode/multinode_inputs.jl") +include("multinode/multinode_utils.jl") include("mpc/results.jl") include("mpc/model.jl") diff --git a/src/constraints/electric_utility_constraints.jl b/src/constraints/electric_utility_constraints.jl index 88b0f7a82..8be1ca2a6 100644 --- a/src/constraints/electric_utility_constraints.jl +++ b/src/constraints/electric_utility_constraints.jl @@ -1,12 +1,17 @@ # REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. function add_export_constraints(m, p; _n="") - ##Constraint (8e): Production export and curtailment no greater than production - @constraint(m, [t in p.techs.elec, ts in p.time_steps_with_grid], - p.production_factor[t,ts] * p.levelization_factor[t] * m[Symbol("dvRatedProduction"*_n)][t,ts] - >= sum(m[Symbol("dvProductionToGrid"*_n)][t, u, ts] for u in p.export_bins_by_tech[t]) + - m[Symbol("dvCurtail"*_n)][t, ts] - ) + if (_n == "") || (p.s.settings.facilitymeter_node != "") + @constraint(m, [t in p.techs.elec, ts in p.time_steps_with_grid], + p.production_factor[t,ts] * p.levelization_factor[t] * m[Symbol("dvRatedProduction"*_n)][t,ts] + >= sum(m[Symbol("dvProductionToGrid"*_n)][t, u, ts] for u in p.export_bins_by_tech[t]) + + m[Symbol("dvCurtail"*_n)][t, ts] + ) + else + # Don't add constraint 8e to the facility meter node + @constraint(m, [t in p.techs.elec, ts in p.time_steps_with_grid], m[Symbol("dvRatedProduction"*_n)][t,ts] == 0) + @constraint(m, [t in p.techs.elec, ts in p.time_steps_with_grid], m[Symbol("dvCurtail"*_n)][t, ts] == 0) + end binNEM = 0 binWHL = 0 @@ -19,12 +24,16 @@ function add_export_constraints(m, p; _n="") if !isempty(NEM_techs) # Constraint (9c): Net metering only -- can't sell more than you purchase # hours_per_time_step is cancelled on both sides, but used for unit consistency (convert power to energy) - @constraint(m, - p.hours_per_time_step * sum( m[Symbol("dvProductionToGrid"*_n)][t, :NEM, ts] - for t in NEM_techs, ts in p.time_steps) - <= p.hours_per_time_step * sum( m[Symbol("dvGridPurchase"*_n)][ts, tier] - for ts in p.time_steps, tier in 1:p.s.electric_tariff.n_energy_tiers) - ) + if (_n == "") || (p.s.settings.facilitymeter_node != "") + @constraint(m, + p.hours_per_time_step * sum( m[Symbol("dvProductionToGrid"*_n)][t, :NEM, ts] + for t in NEM_techs, ts in p.time_steps) + <= p.hours_per_time_step * sum( m[Symbol("dvGridPurchase"*_n)][ts, tier] + for ts in p.time_steps, tier in 1:p.s.electric_tariff.n_energy_tiers) + ) + else + # Don't add constraint 9c to the facility meter node + end if p.s.electric_utility.net_metering_limit_kw == p.s.electric_utility.interconnection_limit_kw && isempty(WHL_techs) # no need for binNEM nor binWHL @@ -134,9 +143,17 @@ function add_export_constraints(m, p; _n="") if typeof(binNEM) <: Real # no need for wholesale binary binWHL = 1 + for b in p.s.storage.types.all + println(b) + end WHL_benefit = @expression(m, p.pwf_e * p.hours_per_time_step * - sum( sum(p.s.electric_tariff.export_rates[:WHL][ts] * m[Symbol("dvProductionToGrid"*_n)][t, :WHL, ts] - for t in p.techs_by_exportbin[:WHL]) for ts in p.time_steps) + ( + sum(sum(p.s.electric_tariff.export_rates[:WHL][ts] * m[Symbol("dvStorageToGrid"*_n)][b, ts] + for b in p.s.storage.types.elec) for ts in p.time_steps) + + + sum(sum(p.s.electric_tariff.export_rates[:WHL][ts] * m[Symbol("dvProductionToGrid"*_n)][t, :WHL, ts] + for t in p.techs_by_exportbin[:WHL]) for ts in p.time_steps) + ) ) else binWHL = @variable(m, binary = true) diff --git a/src/constraints/generator_constraints.jl b/src/constraints/generator_constraints.jl index 34d606dca..4f62b000f 100644 --- a/src/constraints/generator_constraints.jl +++ b/src/constraints/generator_constraints.jl @@ -1,60 +1,88 @@ -# REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. -function add_fuel_burn_constraints(m,p) +# ********************************************************************************* +# REopt, Copyright (c) 2019-2020, Alliance for Sustainable Energy, LLC. +# All rights reserved. +# +# Redistribution and use in source and binary forms, with or without modification, +# are permitted provided that the following conditions are met: +# +# Redistributions of source code must retain the above copyright notice, this list +# of conditions and the following disclaimer. +# +# Redistributions in binary form must reproduce the above copyright notice, this +# list of conditions and the following disclaimer in the documentation and/or other +# materials provided with the distribution. +# +# Neither the name of the copyright holder nor the names of its contributors may be +# used to endorse or promote products derived from this software without specific +# prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. +# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, +# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, +# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE +# OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED +# OF THE POSSIBILITY OF SUCH DAMAGE. +# ********************************************************************************* +function add_fuel_burn_constraints(m,p; _n="") fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = fuel_slope_and_intercept( electric_efficiency_full_load=p.s.generator.electric_efficiency_full_load, electric_efficiency_half_load=p.s.generator.electric_efficiency_half_load, fuel_higher_heating_value_kwh_per_unit=p.s.generator.fuel_higher_heating_value_kwh_per_gal ) @constraint(m, [t in p.techs.gen, ts in p.time_steps], - m[:dvFuelUsage][t, ts] == (fuel_slope_gal_per_kwhe * p.s.generator.fuel_higher_heating_value_kwh_per_gal * - p.production_factor[t, ts] * p.hours_per_time_step * m[:dvRatedProduction][t, ts]) + - (fuel_intercept_gal_per_hr * p.s.generator.fuel_higher_heating_value_kwh_per_gal * p.hours_per_time_step * m[:binGenIsOnInTS][t, ts]) + m[Symbol("dvFuelUsage"*_n)][t, ts] == (fuel_slope_gal_per_kwhe * p.s.generator.fuel_higher_heating_value_kwh_per_gal * + p.production_factor[t, ts] * p.hours_per_time_step * m[Symbol("dvRatedProduction"*_n)][t, ts]) + + (fuel_intercept_gal_per_hr * p.s.generator.fuel_higher_heating_value_kwh_per_gal * p.hours_per_time_step * m[Symbol("binGenIsOnInTS"*_n)][t, ts]) ) @constraint(m, - sum(m[:dvFuelUsage][t, ts] for t in p.techs.gen, ts in p.time_steps) <= + sum(m[Symbol("dvFuelUsage"*_n)][t, ts] for t in p.techs.gen, ts in p.time_steps) <= p.s.generator.fuel_avail_gal * p.s.generator.fuel_higher_heating_value_kwh_per_gal ) end -function add_binGenIsOnInTS_constraints(m,p) +function add_binGenIsOnInTS_constraints(m,p; _n="") # Generator must be on for nonnegative output @constraint(m, [t in p.techs.gen, ts in p.time_steps], - m[:dvRatedProduction][t, ts] <= p.max_sizes[t] * m[:binGenIsOnInTS][t, ts] + m[Symbol("dvRatedProduction"*_n)][t, ts] <= p.max_sizes[t] * m[Symbol("binGenIsOnInTS"*_n)][t, ts] ) # Note: min_turn_down_fraction is only enforced when `off_grid_flag` is true and in p.time_steps_with_grid, but not for grid outages for on-grid analyses if p.s.settings.off_grid_flag @constraint(m, [t in p.techs.gen, ts in p.time_steps_without_grid], - p.s.generator.min_turn_down_fraction * m[:dvSize][t] - m[:dvRatedProduction][t, ts] <= - p.max_sizes[t] * (1 - m[:binGenIsOnInTS][t, ts]) + p.s.generator.min_turn_down_fraction * m[Symbol("dvSize"*_n)][t] - m[Symbol("dvRatedProduction"*_n)][t, ts] <= + p.max_sizes[t] * (1 - m[Symbol("binGenIsOnInTS"*_n)][t, ts]) ) else @constraint(m, [t in p.techs.gen, ts in p.time_steps_with_grid], - p.s.generator.min_turn_down_fraction * m[:dvSize][t] - m[:dvRatedProduction][t, ts] <= - p.max_sizes[t] * (1 - m[:binGenIsOnInTS][t, ts]) + p.s.generator.min_turn_down_fraction * m[Symbol("dvSize"*_n)][t] - m[Symbol("dvRatedProduction"*_n)][t, ts] <= + p.max_sizes[t] * (1 - m[Symbol("binGenIsOnInTS"*_n)][t, ts]) ) end end -function add_gen_can_run_constraints(m,p) +function add_gen_can_run_constraints(m,p; _n="") if p.s.generator.only_runs_during_grid_outage for ts in p.time_steps_with_grid, t in p.techs.gen - fix(m[:dvRatedProduction][t, ts], 0.0, force=true) + fix(m[Symbol("dvRatedProduction"*_n)][t, ts], 0.0, force=true) end end if !(p.s.generator.sells_energy_back_to_grid) for t in p.techs.gen, u in p.export_bins_by_tech[t], ts in p.time_steps - fix(m[:dvProductionToGrid][t, u, ts], 0.0, force=true) + fix(m[Symbol("dvProductionToGrid"*_n)][t, u, ts], 0.0, force=true) end end end -function add_gen_rated_prod_constraint(m, p) +function add_gen_rated_prod_constraint(m, p; _n="") @constraint(m, [t in p.techs.gen, ts in p.time_steps], - m[:dvSize][t] >= m[:dvRatedProduction][t, ts] + m[Symbol("dvSize"*_n)][t] >= m[Symbol("dvRatedProduction"*_n)][t, ts] ) end @@ -64,17 +92,17 @@ end Add Generator operational constraints and cost expressions. """ -function add_gen_constraints(m, p) - add_fuel_burn_constraints(m,p) - add_binGenIsOnInTS_constraints(m,p) - add_gen_can_run_constraints(m,p) - add_gen_rated_prod_constraint(m,p) +function add_gen_constraints(m, p; _n="") + add_fuel_burn_constraints(m,p, _n=_n) + add_binGenIsOnInTS_constraints(m,p, _n=_n) + add_gen_can_run_constraints(m,p, _n=_n) + add_gen_rated_prod_constraint(m,p, _n=_n) - m[:TotalGenPerUnitProdOMCosts] = @expression(m, p.third_party_factor * p.pwf_om * + m[Symbol("TotalGenPerUnitProdOMCosts"*_n)] = @expression(m, p.third_party_factor * p.pwf_om * sum(p.s.generator.om_cost_per_kwh * p.hours_per_time_step * - m[:dvRatedProduction][t, ts] for t in p.techs.gen, ts in p.time_steps) - ) - m[:TotalGenFuelCosts] = @expression(m, - sum(p.pwf_fuel[t] * m[:dvFuelUsage][t,ts] * p.fuel_cost_per_kwh[t][ts] for t in p.techs.gen, ts in p.time_steps) + m[Symbol("dvRatedProduction"*_n)][t, ts] for t in p.techs.gen, ts in p.time_steps) ) + m[Symbol("TotalGenFuelCosts"*_n)] = @expression(m, + sum(p.pwf_fuel[t] * m[Symbol("dvFuelUsage"*_n)][t,ts] * p.fuel_cost_per_kwh[t][ts] for t in p.techs.gen, ts in p.time_steps) + ) end diff --git a/src/constraints/storage_constraints.jl b/src/constraints/storage_constraints.jl index c46d4e775..1b2a04a89 100644 --- a/src/constraints/storage_constraints.jl +++ b/src/constraints/storage_constraints.jl @@ -68,7 +68,7 @@ function add_elec_storage_dispatch_constraints(m, p, b; _n="") m[Symbol("dvStoredEnergy"*_n)][b, ts] == m[Symbol("dvStoredEnergy"*_n)][b, ts-1] + p.hours_per_time_step * ( sum(p.s.storage.attr[b].charge_efficiency * m[Symbol("dvProductionToStorage"*_n)][b, t, ts] for t in p.techs.elec) + p.s.storage.attr[b].grid_charge_efficiency * m[Symbol("dvGridToStorage"*_n)][b, ts] - - m[Symbol("dvDischargeFromStorage"*_n)][b,ts] / p.s.storage.attr[b].discharge_efficiency + - ((m[Symbol("dvDischargeFromStorage"*_n)][b,ts] + m[Symbol("dvStorageToGrid"*_n)][b,ts])/ p.s.storage.attr[b].discharge_efficiency) ) ) # Constraint (4g)-2: state-of-charge for electrical storage - no grid @@ -102,23 +102,34 @@ function add_elec_storage_dispatch_constraints(m, p, b; _n="") #Constraint (4k)-alt: Dispatch to and from electrical storage is no greater than power capacity @constraint(m, [ts in p.time_steps_with_grid], - m[Symbol("dvStoragePower"*_n)][b] >= m[Symbol("dvDischargeFromStorage"*_n)][b, ts] + + m[Symbol("dvStoragePower"*_n)][b] >= m[Symbol("dvDischargeFromStorage"*_n)][b, ts] + m[Symbol("dvStorageToGrid"*_n)][b,ts] + sum(m[Symbol("dvProductionToStorage"*_n)][b, t, ts] for t in p.techs.elec) + m[Symbol("dvGridToStorage"*_n)][b, ts] ) + #Dispatch from electrical storage is no greater than power capacity + @constraint(m, [ts in p.time_steps_without_grid], + m[Symbol("dvStoragePower"*_n)][b] >= m[Symbol("dvDischargeFromStorage"*_n)][b,ts] + m[Symbol("dvStorageToGrid"*_n)][b,ts]) + #Constraint (4l)-alt: Dispatch from electrical storage is no greater than power capacity (no grid connection) @constraint(m, [ts in p.time_steps_without_grid], m[Symbol("dvStoragePower"*_n)][b] >= m[Symbol("dvDischargeFromStorage"*_n)][b,ts] + sum(m[Symbol("dvProductionToStorage"*_n)][b, t, ts] for t in p.techs.elec) ) - # Remove grid-to-storage as an option if option to grid charge is turned off + #Constraint (4m)-1: Remove grid-to-storage as an option if option to grid charge is turned off if !(p.s.storage.attr[b].can_grid_charge) for ts in p.time_steps_with_grid fix(m[Symbol("dvGridToStorage"*_n)][b, ts], 0.0, force=true) end end + #Constraint (4m)-2: Force storage export to grid to zero if option to grid export is turned off + if !p.s.storage.attr[b].can_export_to_grid + for ts in p.time_steps + fix(m[Symbol("dvStorageToGrid"*_n)][b, ts], 0.0, force=true) + end + end + if p.s.storage.attr[b].minimum_avg_soc_fraction > 0 avg_soc = sum(m[Symbol("dvStoredEnergy"*_n)][b, ts] for ts in p.time_steps) / (8760. / p.hours_per_time_step) @@ -126,8 +137,10 @@ function add_elec_storage_dispatch_constraints(m, p, b; _n="") sum(m[Symbol("dvStorageEnergy"*_n)][b]) ) end + end + function add_hot_thermal_storage_dispatch_constraints(m, p, b; _n="") # Constraint (4j)-1: Reconcile state-of-charge for (hot) thermal storage diff --git a/src/core/electric_utility.jl b/src/core/electric_utility.jl index 1fa2c8404..6e14c86db 100644 --- a/src/core/electric_utility.jl +++ b/src/core/electric_utility.jl @@ -558,7 +558,7 @@ function cambium_emissions_profile(; scenario::String, emissions_year::Int=2017 ) - url = "https://scenarioviewer.nrel.gov/api/get-levelized/" # Production + url = "https://scenarioviewer.nlr.gov/api/get-levelized/" # Production project_uuid = "82460f06-548c-4954-b2d9-b84ba92d63e2" # Cambium 2022 payload=Dict( diff --git a/src/core/energy_storage/electric_storage.jl b/src/core/energy_storage/electric_storage.jl index 771a84364..880f19249 100644 --- a/src/core/energy_storage/electric_storage.jl +++ b/src/core/energy_storage/electric_storage.jl @@ -167,6 +167,7 @@ end soc_min_applies_during_outages::Bool = false soc_init_fraction::Float64 = off_grid_flag ? 1.0 : 0.5 can_grid_charge::Bool = off_grid_flag ? false : true + can_export_to_grid::Bool = false installed_cost_per_kw::Real = 910.0 installed_cost_per_kwh::Real = 455.0 replace_cost_per_kw::Real = 715.0 @@ -202,6 +203,7 @@ Base.@kwdef struct ElectricStorageDefaults soc_min_applies_during_outages::Bool = false soc_init_fraction::Float64 = off_grid_flag ? 1.0 : 0.5 can_grid_charge::Bool = off_grid_flag ? false : true + can_export_to_grid::Bool = false installed_cost_per_kw::Real = 910.0 installed_cost_per_kwh::Real = 455.0 replace_cost_per_kw::Real = 715.0 @@ -243,6 +245,7 @@ struct ElectricStorage <: AbstractElectricStorage soc_min_applies_during_outages::Bool soc_init_fraction::Float64 can_grid_charge::Bool + can_export_to_grid::Bool installed_cost_per_kw::Real installed_cost_per_kwh::Real replace_cost_per_kw::Real @@ -265,7 +268,7 @@ struct ElectricStorage <: AbstractElectricStorage minimum_avg_soc_fraction::Float64 min_duration_hours::Real max_duration_hours::Real - + function ElectricStorage(d::Dict, f::Financial) s = ElectricStorageDefaults(;d...) @@ -336,6 +339,7 @@ struct ElectricStorage <: AbstractElectricStorage s.soc_min_applies_during_outages, s.soc_init_fraction, s.can_grid_charge, + s.can_export_to_grid, s.installed_cost_per_kw, s.installed_cost_per_kwh, replace_cost_per_kw, diff --git a/src/core/energy_storage/storage.jl b/src/core/energy_storage/storage.jl index f276db728..6fc61861b 100644 --- a/src/core/energy_storage/storage.jl +++ b/src/core/energy_storage/storage.jl @@ -22,6 +22,7 @@ end mutable struct StorageTypes all::Vector{String} elec::Vector{String} + elec_no_simultaneous_charge_discharge::Vector{String} thermal::Vector{String} hot::Vector{String} cold::Vector{String} @@ -33,6 +34,7 @@ mutable struct StorageTypes String[], String[], String[], + String[], String[] ) end @@ -40,6 +42,7 @@ mutable struct StorageTypes function StorageTypes(d::Dict{String, AbstractStorage}) all_storage = String[] elec_storage = String[] + elec_storage_no_simul_charge_discharge = String[] hot_storage = String[] cold_storage = String[] @@ -50,13 +53,15 @@ mutable struct StorageTypes if typeof(v) <: AbstractElectricStorage push!(elec_storage, k) - + #if !v.allow_simultaneous_charge_discharge + # push!(elec_storage_no_simul_charge_discharge, k) + #end elseif typeof(v) <: HotThermalStorage push!(hot_storage, k) elseif typeof(v) <: ColdThermalStorage push!(cold_storage, k) else - throw(@error("Storage not labeled as Hot or Cold, or Electric.")) + throw(@error("Storage not labeled as Hot, Cold, or Electric.")) end end end @@ -66,6 +71,7 @@ mutable struct StorageTypes new( all_storage, elec_storage, + elec_storage_no_simul_charge_discharge, thermal_storage, hot_storage, cold_storage diff --git a/src/core/production_factor.jl b/src/core/production_factor.jl index b0312aad2..81e0af900 100644 --- a/src/core/production_factor.jl +++ b/src/core/production_factor.jl @@ -64,7 +64,7 @@ function get_production_factor(wind::Wind, latitude::Real, longitude::Real, time # TODO validate against API with different hub heights (not in windtoolkit_hub_heights) for height in heights_for_sam - url = string("https://developer.nrel.gov/api/wind-toolkit/v2/wind/wtk-srw-download", + url = string("https://developer.nlr.gov/api/wind-toolkit/v2/wind/wtk-srw-download", "?api_key=", ENV["NREL_DEVELOPER_API_KEY"], "&lat=", latitude , "&lon=", longitude, "&hubheight=", Int(height), "&year=", 2012 diff --git a/src/core/reopt.jl b/src/core/reopt.jl index 662d249cd..5a1242e7c 100644 --- a/src/core/reopt.jl +++ b/src/core/reopt.jl @@ -194,6 +194,7 @@ function build_reopt!(m::JuMP.AbstractModel, p::REoptInputs) for t in p.s.storage.types.elec fix(m[:dvGridToStorage][t, ts], 0.0, force=true) + fix(m[:dvStorageToGrid][t, ts], 0.0, force=true) end if !isempty(p.s.electric_tariff.export_bins) @@ -213,6 +214,7 @@ function build_reopt!(m::JuMP.AbstractModel, p::REoptInputs) @constraint(m, [ts in p.time_steps], m[:dvGridToStorage][b, ts] == 0) @constraint(m, [t in p.techs.elec, ts in p.time_steps_with_grid], m[:dvProductionToStorage][b, t, ts] == 0) + @constraint(m, [ts in p.time_steps], m[Symbol("dvStorageToGrid")][b, ts] == 0) elseif b in p.s.storage.types.hot @constraint(m, [q in q in setdiff(p.heating_loads, p.heating_loads_served_by_tes[b]), ts in p.time_steps], m[:dvHeatFromStorage][b,q,ts] == 0) if "DomesticHotWater" in p.heating_loads_served_by_tes[b] @@ -243,6 +245,9 @@ function build_reopt!(m::JuMP.AbstractModel, p::REoptInputs) else throw(@error("Invalid storage does not fall in a thermal or electrical set")) end + if b in p.s.storage.types.elec_no_simultaneous_charge_discharge + #add_simultaneous_charge_discharge_constraint(m, p, b) + end end end @@ -616,15 +621,21 @@ function add_variables!(m::JuMP.AbstractModel, p::REoptInputs) dvProductionToStorage[p.s.storage.types.all, union(p.techs.ghp,p.techs.all), p.time_steps] >= 0 # Power from technology t used to charge storage system b [kW] dvDischargeFromStorage[p.s.storage.types.all, p.time_steps] >= 0 # Power discharged from storage system b [kW] dvGridToStorage[p.s.storage.types.elec, p.time_steps] >= 0 # Electrical power delivered to storage by the grid [kW] + dvStorageToGrid[p.s.storage.types.elec, p.time_steps] >= 0 # export of energy from storage to the grid dvStoredEnergy[p.s.storage.types.all, 0:p.time_steps[end]] >= 0 # State of charge of storage system b dvStoragePower[p.s.storage.types.all] >= 0 # Power capacity of storage system b [kW] dvStorageEnergy[p.s.storage.types.all] >= 0 # Energy capacity of storage system b [kWh] + #binBattCharging[p.s.storage.types.elec_no_simultaneous_charge_discharge, p.time_steps], Bin # Binary for battery charging (vs discharging) dvPeakDemandTOU[p.ratchets, 1:p.s.electric_tariff.n_tou_demand_tiers] >= 0 # Peak electrical power demand during ratchet r [kW] dvPeakDemandMonth[p.months, 1:p.s.electric_tariff.n_monthly_demand_tiers] >= 0 # Peak electrical power demand during month m [kW] MinChargeAdder >= 0 binGHP[p.ghp_options], Bin # Can be <= 1 if require_ghp_purchase=0, and is ==1 if require_ghp_purchase=1 end + #if !isempty(p.s.storage.types.elec_no_simultaneous_charge_discharge) + # @warn "Adding binary variable to prevent simultaneous battery charge/discharge. Some solvers are very slow with integer variables." + #end + if !isempty(p.techs.gen) # Problem becomes a MILP @warn "Adding binary variable to model gas generator. Some solvers are very slow with integer variables." @variables m begin diff --git a/src/core/settings.jl b/src/core/settings.jl index 81787746b..133a8c1b4 100644 --- a/src/core/settings.jl +++ b/src/core/settings.jl @@ -10,6 +10,8 @@ Captures high-level inputs affecting the optimization. include_climate_in_objective::Bool = false # true if climate costs of emissions should be included in the model's objective function include_health_in_objective::Bool = false # true if health costs of emissions should be included in the model's objective function solver_name::String = "HiGHS" # solver used to obtain a solution to model instance. available options: ["HiGHS", "Cbc", "CPLEX", "Xpress"] + facilitymeter_node::String = "" + phase_numbers::Array=[1] # indicates the phase numbers for the load (relevant for multinode models only); default is single phase using phase 1; three phase is represented by [1,2,3] ``` """ Base.@kwdef struct Settings @@ -19,4 +21,6 @@ Base.@kwdef struct Settings include_climate_in_objective::Bool = false # true if climate costs of emissions should be included in the model's objective function include_health_in_objective::Bool = false # true if health costs of emissions should be included in the model's objective function solver_name::String = "HiGHS" # solver used to obtain a solution to model instance. available options: ["HiGHS", "Cbc", "CPLEX", "Xpress"] + facilitymeter_node::String = "" + phase_numbers::Array=[1] # indicates the phase numbers for the load (relevant for multinode models only); default is single phase using phase 1; three phase is represented by [1,2,3] end diff --git a/src/core/site.jl b/src/core/site.jl index 0ecb42752..e0d33ba08 100644 --- a/src/core/site.jl +++ b/src/core/site.jl @@ -10,7 +10,7 @@ Inputs related to the physical location: roof_squarefeet::Union{Real, Nothing} = nothing, min_resil_time_steps::Int=0, # The minimum number consecutive timesteps that load must be fully met once an outage begins. Only applies to multiple outage modeling using inputs outage_start_time_steps and outage_durations. mg_tech_sizes_equal_grid_sizes::Bool = true, - node::Int = 1, + node::Union{Int,String} = 1, CO2_emissions_reduction_min_fraction::Union{Float64, Nothing} = nothing, CO2_emissions_reduction_max_fraction::Union{Float64, Nothing} = nothing, bau_emissions_lb_CO2_per_year::Union{Float64, Nothing} = nothing, # Auto-populated based on BAU run. This input will be overwritten if the BAU scenario is run, but can be user-provided if no BAU scenario is run. @@ -57,7 +57,7 @@ mutable struct Site include_exported_elec_emissions_in_total::Bool = true, include_exported_renewable_electricity_in_total::Bool = true, outdoor_air_temperature_degF::Union{Nothing, Array{<:Real,1}} = nothing, - node::Int = 1, + node::Union{Int,String} = 1, ) invalid_args = String[] if !(-90 <= latitude < 90) diff --git a/src/core/types.jl b/src/core/types.jl index 6ed1eb96b..0fdf7bef4 100644 --- a/src/core/types.jl +++ b/src/core/types.jl @@ -12,6 +12,7 @@ abstract type AbstractElectricStorage <: AbstractStorage end abstract type AbstractThermalStorageDefaults end abstract type AbstractGHP <: AbstractTech end abstract type AbstractSteamTurbine <: AbstractTech end +abstract type AbstractMultinode end """ diff --git a/src/core/utils.jl b/src/core/utils.jl index 192d88068..523c5d3d4 100644 --- a/src/core/utils.jl +++ b/src/core/utils.jl @@ -391,7 +391,7 @@ function call_solar_dataset_api(latitude::Real, longitude::Real, radius::Int) throw(@error("Invalid coordinates: longitude of $longitude must be between -180 and 180 degrees.")) end - url = string("https://developer.nrel.gov/api/solar/data_query/v2.json", "?api_key=", ENV["NREL_DEVELOPER_API_KEY"], + url = string("https://developer.nlr.gov/api/solar/data_query/v2.json", "?api_key=", ENV["NREL_DEVELOPER_API_KEY"], "&lat=", latitude , "&lon=", longitude, "&radius=", radius, "&all=", 0 ) try @@ -462,7 +462,7 @@ function call_pvwatts_api(latitude::Real, longitude::Real; tilt=latitude, azimut # Determine resource dataset to use for this location dataset, dist_meters, datasource = call_solar_dataset_api(latitude, longitude, radius) - url = string("https://developer.nrel.gov/api/pvwatts/v8.json", "?api_key=", ENV["NREL_DEVELOPER_API_KEY"], + url = string("https://developer.nlr.gov/api/pvwatts/v8.json", "?api_key=", ENV["NREL_DEVELOPER_API_KEY"], "&lat=", latitude , "&lon=", longitude, "&tilt=", tilt, "&system_capacity=1", "&azimuth=", azimuth, "&module_type=", module_type, "&array_type=", array_type, "&losses=", losses, "&dc_ac_ratio=", dc_ac_ratio, diff --git a/src/lindistflow/extend.jl b/src/lindistflow/extend.jl deleted file mode 100644 index 8fc7476c9..000000000 --- a/src/lindistflow/extend.jl +++ /dev/null @@ -1,106 +0,0 @@ -""" -Outline: -1. Construct LDF.Inputs from openDSS file, load dict -2. Add power flow constraints to m, - - set Pā±¼'s = -1 * (dvGridPurchase_j - dvProductionToGrid_j) -3. solve model -""" -# TODO add complementary constraint to UL for dvProductionToGrid_ and dvGridPurchase_ (don't want it in LL s.t. it stays linear) - - -function LDF.build_ldf!(m::JuMP.AbstractModel, p::LDF.Inputs, ps::Array{REoptInputs, 1}; - make_import_export_complementary::Bool=true - ) - LDF.add_variables(m, p) - add_expressions(m, ps) - LDF.constrain_power_balance(m, p) - LDF.constrain_substation_voltage(m, p) - LDF.constrain_KVL(m, p) - LDF.constrain_loads(m, p, ps) - LDF.constrain_bounds(m, p) - - if make_import_export_complementary - add_complementary_constraints(m, ps) - end -end - - -function add_expressions(m::JuMP.AbstractModel, ps::Array{REoptInputs, 1}) - for p in ps - _n = string("_", p.s.site.node) - m[Symbol("TotalExport"*_n)] = @expression(m, [t in p.time_steps], - sum( - m[Symbol("dvProductionToGrid"*_n)][t,u,ts] - for t in p.techs.elec, u in p.export_bins_by_tech[t] - ) - ) - end -end - - -function add_complementary_constraints(m::JuMP.AbstractModel, ps::Array{REoptInputs, 1}) - for p in ps - _n = string("_", p.s.site.node) - for (i, e) in zip(m[Symbol("dvGridPurchase"*_n)], m[Symbol("TotalExport"*_n)]) - @constraint(m, - [i, e] in MOI.SOS1([1.0, 2.0]) - ) - end - end -end - - -function LDF.constrain_loads(m::JuMP.AbstractModel, p::LDF.Inputs, ps::Array{REoptInputs, 1}) - reopt_nodes = [p.s.site.node for p in ps] - - Pā±¼ = m[:Pā±¼] - Qā±¼ = m[:Qā±¼] - # positive values are injections - - for j in p.busses - if j in keys(p.Pload) - if parse(Int, j) in reopt_nodes - @constraint(m, [t in 1:p.Ntimesteps], - Pā±¼[j,t] == 1e3/p.Sbase * ( # 1e3 b/c REopt values in kW - m[Symbol("TotalExport_" * j)][t] - - m[Symbol("dvGridPurchase_" * j)][t] - ) - ) - else - @constraint(m, [t in 1:p.Ntimesteps], - Pā±¼[j,t] == -p.Pload[j][t] - ) - end - elseif j != p.substation_bus - @constraint(m, [t in 1:p.Ntimesteps], - Pā±¼[j,t] == 0 - ) - end - - if j in keys(p.Qload) - if parse(Int, j) in reopt_nodes - @constraint(m, [t in 1:p.Ntimesteps], - Qā±¼[j,t] == 1e3/p.Sbase * p.pf * ( # 1e3 b/c REopt values in kW - m[Symbol("TotalExport_" * j)][t] - - m[Symbol("dvGridPurchase_" * j)][t] - ) - ) - else - @constraint(m, [t in 1:p.Ntimesteps], - Qā±¼[j,t] == -p.Qload[j][t] - ) - end - elseif j != p.substation_bus - @constraint(m, [t in 1:p.Ntimesteps], - Qā±¼[j,t] == 0 - ) - end - end - p.Nequality_cons += 2 * (p.Nnodes - 1) * p.Ntimesteps -end - -# TODO add LDF results (here and in LDF package) - -function run_reopt(m::JuMP.AbstractModel, p::REoptInputs, ldf::LDF.Inputs) - -end \ No newline at end of file diff --git a/src/mpc/model.jl b/src/mpc/model.jl index d40a80da3..88ad06f31 100644 --- a/src/mpc/model.jl +++ b/src/mpc/model.jl @@ -231,6 +231,7 @@ function add_variables!(m::JuMP.AbstractModel, p::MPCInputs) dvProductionToStorage[p.s.storage.types.all, p.techs.all, p.time_steps] >= 0 # Power from technology t used to charge storage system b [kW] dvDischargeFromStorage[p.s.storage.types.all, p.time_steps] >= 0 # Power discharged from storage system b [kW] dvGridToStorage[p.s.storage.types.elec, p.time_steps] >= 0 # Electrical power delivered to storage by the grid [kW] + dvStorageToGrid[p.s.storage.types.elec, p.time_steps] == 0 dvStoredEnergy[p.s.storage.types.all, 0:p.time_steps[end]] >= 0 # State of charge of storage system b dvStoragePower[p.s.storage.types.all] >= 0 # Power capacity of storage system b [kW] dvStorageEnergy[p.s.storage.types.all] >= 0 # Energy capacity of storage system b [kWh] diff --git a/src/mpc/model_multinode.jl b/src/mpc/model_multinode.jl index 68a3ef34a..9fd809933 100644 --- a/src/mpc/model_multinode.jl +++ b/src/mpc/model_multinode.jl @@ -152,7 +152,7 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{MPCInputs}) "dvRatedProduction", ] dvs_idx_on_storagetypes_time_steps = String[ - "dvDischargeFromStorage" + "dvDischargeFromStorage" ] for p in ps _n = string("_", p.s.node) @@ -176,9 +176,16 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{MPCInputs}) m[Symbol(x)] = @variable(m, [p.s.storage.types.all, p.time_steps], base_name=x, lower_bound=0) end - dv = "dvGridToStorage"*_n + # Temporary definition and constraint for dvStorageToGrid + dv = "dvStorageToGrid"*_n m[Symbol(dv)] = @variable(m, [p.s.storage.types.elec, p.time_steps], base_name=dv, lower_bound=0) + for t in p.s.storage.types.elec + @constraint(m, [ts in p.time_steps], m[Symbol("dvStorageToGrid"*_n)][t, ts] == 0) + end + dv = "dvGridToStorage"*_n + m[Symbol(dv)] = @variable(m, [p.s.storage.types.elec, p.time_steps], base_name=dv, lower_bound=0) + dv = "dvGridPurchase"*_n m[Symbol(dv)] = @variable(m, [p.time_steps], base_name=dv, lower_bound=0) diff --git a/src/mpc/structs.jl b/src/mpc/structs.jl index 340bb07c0..561f39336 100644 --- a/src/mpc/structs.jl +++ b/src/mpc/structs.jl @@ -227,6 +227,7 @@ Base.@kwdef struct MPCElectricStorage < AbstractElectricStorage soc_init_fraction::Float64 = 0.5 can_grid_charge::Bool = true grid_charge_efficiency::Float64 = 0.96 * 0.975^2 + can_export_to_grid::Bool=false end ``` """ @@ -242,6 +243,7 @@ Base.@kwdef struct MPCElectricStorage <: AbstractElectricStorage max_kw::Float64 = size_kw max_kwh::Float64 = size_kwh minimum_avg_soc_fraction::Float64 = 0.0 + can_export_to_grid::Bool=false end diff --git a/src/multinode/multinode.jl b/src/multinode/multinode.jl new file mode 100644 index 000000000..5d96d12b2 --- /dev/null +++ b/src/multinode/multinode.jl @@ -0,0 +1,2167 @@ +# REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. + +function Multinode_Model(Multinode_Settings::Dict{String, Any}) + # The main function to run all parts of the multinode model + + StartTime_EntireModel = now() # Record the start time for the computation + TimeStamp = Dates.format(now(), "mm-dd-yyyy")*"_"*Dates.format(now(), "HH-MM") + time_results = Dict() + + Multinode_Inputs = REopt.MultinodeInputs(; REopt.dictkeys_tosymbols(Multinode_Settings)...) + + if Multinode_Inputs.generate_CSV_of_outputs + cd(Multinode_Inputs.folder_location) + CreateOutputsFolder(Multinode_Inputs, TimeStamp) + end + + print("\n Preparing the electric loads") + Start_time_prepare_electric_loads = now() + PrepareElectricLoads(Multinode_Inputs) + milliseconds, prepare_electric_loads_time_minutes = CalculateComputationTime(Start_time_prepare_electric_loads) + time_results["Step $(length(keys(time_results))+1): prepare_electric_loads_time_minutes"] = prepare_electric_loads_time_minutes + + print("\n Preparing the REopt inputs") + REopt_inputs_combined = PrepareREoptInputs(Multinode_Inputs, time_results) + print("\n Completed preparing the REopt inputs") + + m_outagesimulator = "empty" + #model = "empty" + model_BAU = "empty" + model_diagnostics_bus_voltage_violations = "empty" + + if Multinode_Inputs.model_type == "PowerModelsDistribution" + print("\n Running data checks \n") + RunDataChecks(Multinode_Inputs, REopt_inputs_combined) + + PMD_number_of_timesteps = length(Multinode_Inputs.PMD_time_steps) + + REopt_Results, PMD_Results, DataFrame_PMD_LineFlow_Summary, + PMD_Dictionary_LineFlow_Power_Series, DataDictionaryForEachNode, + LineInfo_PMD, REoptInputs_Combined, data_eng, data_math_mn, pm, + line_upgrade_options_each_line, line_upgrade_results, load_phase_dictionary, + gen_ind_e_to_REopt_node, REopt_gen_ind_e, connections, connections_upstream, + connections_downstream = + build_run_and_process_results(Multinode_Inputs, REopt_inputs_combined, PMD_number_of_timesteps, TimeStamp, time_results; allow_upgrades = true) + + time_results["Step $(length(keys(time_results))+1): model_solve_time_minutes"] = round(JuMP.solve_time(pm.model)/60, digits = 2) + GC.gc() + print("\n Completed running the build_run_and_process_results function") + + if REopt_Results == "N/A" + @warn "The optimization did not return an optimal solution. Returning the failed model with all other outputs set to \"N/A\"." + ComputationTime_EntireModel_Milliseconds, ComputationTime_EntireModel_Minutes = CalculateComputationTime(StartTime_EntireModel) + time_results["ComputationTime_EntireModel_Minutes"] = ComputationTime_EntireModel_Minutes + return "N/A", pm.model, "N/A", "N/A" + end + + if Multinode_Inputs.run_outage_simulator + Outage_Results, single_model_outage_simulator, outage_simulator_time_minutes, outage_simulator_results_for_plotting, outage_survival_results_dictionary, outage_start_timesteps_dictionary = run_outage_simulator(DataDictionaryForEachNode, REopt_inputs_combined, Multinode_Inputs, TimeStamp, LineInfo_PMD, line_upgrade_options_each_line, line_upgrade_results, REoptInputs_Combined) + time_results["Step $(length(keys(time_results))+1): outage_simulator_time_minutes"] = outage_simulator_time_minutes + else + Outage_Results = Dict(["NoOutagesTested" => Dict(["Not evaluated" => "Not evaluated"])]) + single_model_outage_simulator = "N/A" + outage_simulator_time_minutes = "N/A" + outage_simulator_results_for_plotting = "N/A" + outage_survival_results_dictionary = "N/A" + outage_start_timesteps_dictionary = "N/A" + end + + if Multinode_Inputs.run_BAU_case + print("\n Running the BAU case") + Multinode_Settings_No_Techs = SetTechSizesToZero(Multinode_Settings) + Multinode_Inputs_No_Techs = REopt.MultinodeInputs(; REopt.dictkeys_tosymbols(Multinode_Settings_No_Techs)...) + PrepareElectricLoads(Multinode_Inputs_No_Techs) + + Outage_Results_No_Techs = Dict(["NoOutagesTested" => Dict(["Not evaluated" => "Not evaluated"])]) + + REopt_Results_BAU, PMD_Results_No_Techs, DataFrame_PMD_LineFlow_Summary_No_Techs, + PMD_Dictionary_LineFlow_Power_Series_No_Techs, DataDictionaryForEachNode_No_Techs, + LineInfo_PMD_No_Techs, REoptInputs_Combined_No_Techs, data_eng_No_Techs, + data_math_mn_No_Techs, pm_No_Techs, line_upgrade_options_each_line_NoTechs, + line_upgrade_results_NoTechs, load_phase_dictionary_NoTechs, gen_ind_e_to_REopt_node_noTechs, + REopt_gen_ind_e_noTechs, connections_noTechs, connections_upstream_noTechs, + connections_downstream_noTechs = build_run_and_process_results(Multinode_Inputs_No_Techs, REopt_inputs_combined, PMD_number_of_timesteps, TimeStamp, time_results; allow_upgrades=false, BAU_case=true) + + GC.gc() + + ComputationTime_EntireModel = "N/A" + system_results_BAU = REopt.Results_Compilation(pm_No_Techs.model, REopt_Results_BAU, PMD_Results, Outage_Results_No_Techs, Multinode_Inputs_No_Techs, DataFrame_PMD_LineFlow_Summary_No_Techs, PMD_Dictionary_LineFlow_Power_Series_No_Techs, TimeStamp, ComputationTime_EntireModel; system_results_BAU = "") + time_results["Step $(length(keys(time_results))+1): BAU_model_solve_time_minutes"] = round(JuMP.solve_time(model_BAU)/60, digits = 2) + print("\n Completed running the BAU case") + else + system_results_BAU = "none" + REopt_Results_BAU = "none" + model_BAU = "none" + end + + if Multinode_Inputs.allow_bus_voltage_violations # || Multinode_Inputs.allow_dropped_load_in_main_optimization + print("\n Processing the model diagnostics for bus voltage violation") + model_diagnostics_bus_voltage_violations = process_model_diagnostics_bus_voltage_violations(Multinode_Inputs, pm) + print("\n Completed processing the model diagnostics for bus voltage violation") + else + model_diagnostics_bus_voltage_violations = "N/A" + end + + if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + GC.gc() + print("\n Processing the simple powerflow results") + simple_powerflow_model_results = process_simple_powerflow_results(Multinode_Inputs, pm.model, data_eng, connections, connections_upstream, connections_downstream) + all_line_powerflow_results = combine_PMD_and_simple_powerflow_results(Multinode_Inputs, pm.model, data_eng, PMD_Dictionary_LineFlow_Power_Series, simple_powerflow_model_results) + print("\n Completed processing the simple powerflow results") + else + simple_powerflow_model_results = "The simple powerflow model was not used" + all_line_powerflow_results = combine_PMD_and_simple_powerflow_results(Multinode_Inputs, pm.model, data_eng, PMD_Dictionary_LineFlow_Power_Series, simple_powerflow_model_results) + end + print("\n Compiling all the results") + system_results = REopt.Results_Compilation(pm.model, REopt_Results, PMD_Results, Outage_Results, Multinode_Inputs, DataFrame_PMD_LineFlow_Summary, PMD_Dictionary_LineFlow_Power_Series, TimeStamp, StartTime_EntireModel; bau_model = model_BAU, system_results_BAU = system_results_BAU, outage_simulator_time = outage_simulator_time_minutes, all_line_powerflow_results = all_line_powerflow_results, simple_powerflow_model_results=simple_powerflow_model_results) + + ComputationTime_EntireModel_Milliseconds, ComputationTime_EntireModel_Minutes = CalculateComputationTime(StartTime_EntireModel) + time_results["ComputationTime_EntireModel_Minutes"] = ComputationTime_EntireModel_Minutes + + # Compile output data into a dictionary to return from the dictionary + CompiledResults = Dict([("System_Results", system_results), + ("System_Results_BAU", system_results_BAU), + ("DataDictionaryForEachNode", DataDictionaryForEachNode), + ("Multinode_Inputs", Multinode_Inputs), + ("Dictionary_LineFlow_Power_Series", all_line_powerflow_results), + ("PMD_results", PMD_Results), + ("PMD_line_power_flow_results", PMD_Dictionary_LineFlow_Power_Series), + ("simple_powerflow_model_line_power_flow_results", simple_powerflow_model_results), + ("PMD_data_eng", data_eng), + ("REopt_results", REopt_Results), + ("REopt_results_BAU", REopt_Results_BAU), + ("Outage_Results", Outage_Results), + ("DataFrame_LineFlow_Summary", DataFrame_PMD_LineFlow_Summary), + ("Computation_Time_Data", time_results), + ("Line_Info_PMD", LineInfo_PMD), + ("pm", pm), # This can be a very large variable and it can be slow to load + ("line_upgrade_options", line_upgrade_options_each_line), + ("line_upgrade_results", line_upgrade_results), + ("single_outage_simulator_model", single_model_outage_simulator), + ("data_math_mn", data_math_mn), + ("model_diagnostics_bus_voltage_violations", model_diagnostics_bus_voltage_violations), + ("load_phase_dictionary", load_phase_dictionary), + ("gen_ind_e_to_REopt_node", gen_ind_e_to_REopt_node), + ("REopt_gen_ind_e", REopt_gen_ind_e), + #("transformer_upgrade_options", transformer_upgrade_options_output), + #("transformer_upgrade_results", transformer_upgrade_results_output) + #("FromREopt_Dictionary_Node_Data_Series", Dictionary_Node_Data_Series) + ]) + + if Multinode_Inputs.generate_dictionary_for_plotting + data_dictionary_for_plots = Dict([ + ("voltage_plot_time_step", 1), # The default is 1, but the user can update this value after this dictionary is returned from the Multinode_Model function + ("Multinode_Inputs", Multinode_Inputs), + ("outage_survival_results", outage_survival_results_dictionary), + ("outage_start_timesteps_checked", outage_start_timesteps_dictionary), + ("TimeStamp", TimeStamp), + #("OutageLength_TimeSteps_Input", OutageLength_TimeSteps_Input), + #("m_outagesimulator_dictionary", m_outagesimulator_dictionary), + ("DataDictionaryForEachNode", DataDictionaryForEachNode), + ("CompiledResults", CompiledResults), + ("REoptInputs_Combined", REoptInputs_Combined), + ("substation_power_flow", value.(pm.model[Symbol("dvSubstationPowerFlow")]).data), + ("outage_simulator_results_for_plotting", outage_simulator_results_for_plotting) + ]) + else + data_dictionary_for_plots = "N/A" + end + print("\n Completed compiling all the results") + end + + # Optional code for saving the outputs from the SOCNLPUBFPowerModel model + #if (Multinode_Inputs.model_subtype == "SOCNLPUBFPowerModel") && (Multinode_Inputs.generate_CSV_of_outputs == true) + # FilePathAndName = Multinode_Inputs.folder_location*"/Results.json" + # open(FilePathAndName,"w") do x + # JSON.print(x, PMD_Results) + # end + #end + + return CompiledResults, pm.model, model_BAU, data_dictionary_for_plots +end + + +function PrepareElectricLoads(Multinode_Inputs) + # Prepare the electric loads + REopt_inputs_all_nodes = Multinode_Inputs.REopt_inputs_list + + # Prepare loads for using with the outage simulator, if the fraction method is used for determining the critical load + if Multinode_Inputs.critical_load_method == "Fraction" + load_profiles_for_outage_sim_if_using_the_fraction_method = Dict([]) + for REopt_inputs in REopt_inputs_all_nodes + load_profiles_for_outage_sim_if_using_the_fraction_method[REopt_inputs["Site"]["node"]] = deepcopy( REopt_inputs["ElectricLoad"]["loads_kw"] ) + end + Multinode_Inputs.load_profiles_for_outage_sim_if_using_the_fraction_method = load_profiles_for_outage_sim_if_using_the_fraction_method + else + Multinode_Inputs.load_profiles_for_outage_sim_if_using_the_fraction_method = "" + end + + # If outages are defined in the optimization, set the loads to the critical loads during the outages + if Multinode_Inputs.model_outages_with_outages_vector + if Multinode_Inputs.outages_vector != [] + + for i in 1:length(Multinode_Inputs.REopt_inputs_list) + if sum(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"]) > 0 # only apply the critical load fraction if there is a load on the node + + node = Multinode_Inputs.REopt_inputs_list[i]["Site"]["node"] + + load_segment_initial = deepcopy(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"]) + for outage_timestep in Multinode_Inputs.outages_vector + if Multinode_Inputs.critical_load_method == "Fraction" + Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"][outage_timestep] = Multinode_Inputs.critical_load_fraction[string(node)] * load_segment_initial[outage_timestep] + elseif Multinode_Inputs.critical_load_method == "TimeSeries" + Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"][outage_timestep] = Multinode_Inputs.critical_load_timeseries[string(node)][outage_timestep] + end + end + end + end + end + elseif Multinode_Inputs.single_outage_end_time_step - Multinode_Inputs.single_outage_start_time_step > 0 + + OutageStart = Multinode_Inputs.single_outage_start_time_step + OutageEnd = Multinode_Inputs.single_outage_end_time_step + + for i in 1:length(Multinode_Inputs.REopt_inputs_list) + + node = Multinode_Inputs.REopt_inputs_list[i]["Site"]["node"] + + if Multinode_Inputs.critical_load_method == "Fraction" + if sum(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"]) > 0 # only apply the critical load fraction if there is a load on the node + load_segment_initial = deepcopy(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"]) + load_segment_modified = deepcopy(load_segment_initial) + if !(string(node) in keys(Multinode_Inputs.critical_load_fraction)) + throw(@error("Node $(node) is not listed in the critical_load_fraction dictionary")) + end + load_segment_modified[OutageStart:OutageEnd] = Multinode_Inputs.critical_load_fraction[string(node)] * load_segment_initial[OutageStart:OutageEnd] + delete!(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"],"loads_kw") + Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"] = load_segment_modified + end + elseif Multinode_Inputs.critical_load_method == "TimeSeries" + if sum(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"]) > 0 + load_segment_initial = deepcopy(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"]) + load_segment_modified = deepcopy(load_segment_initial) + if !(string(node) in keys(critical_load_timeseries)) + throw(@error("Node $(node) is not listed in the critical_load_timeseries dictionary")) + end + load_segment_modified[OutageStart:OutageEnd] = Multinode_Inputs.critical_load_timeseries[string(node)][OutageStart:OutageEnd] + delete!(Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"],"loads_kw") + Multinode_Inputs.REopt_inputs_list[i]["ElectricLoad"]["loads_kw"] = load_segment_modified + end + end + end + end +end + + +function build_run_and_process_results(Multinode_Inputs, REopt_inputs_combined, PMD_number_of_timesteps, timestamp, time_results; allow_upgrades=false, BAU_case=false) + # Function to build the model, run the model, and process results + + # Empty these variables from any previous contents + pm = nothing + data_math_mn = nothing + data_eng = nothing + + combined_REopt_inputs = REopt_inputs_combined + + pm, data_math_mn, data_eng = Create_PMD_Model_For_REopt_Integration(Multinode_Inputs, PMD_number_of_timesteps, time_results; combined_REopt_inputs = combined_REopt_inputs, BAU_case = BAU_case) + + LineInfo_PMD, data_math_mn, REoptInputs_Combined, + pm, load_phase_dictionary, gen_ind_e_to_REopt_node, + REopt_gen_ind_e, line_upgrade_options_each_line, + connections, connections_upstream, connections_downstream = Build_REopt_and_Link_To_PMD(pm, Multinode_Inputs, REopt_inputs_combined, data_math_mn, data_eng; allow_upgrades=allow_upgrades) + + GC.gc() + + add_objective(pm, Multinode_Inputs, REoptInputs_Combined) + + results, TerminationStatus = Run_REopt_PMD_Model(pm, Multinode_Inputs, timestamp) + + GC.gc() + + if TerminationStatus != "OPTIMAL" + @warn "Optimization did not solve to optimality (status: $(TerminationStatus)). Skipping results processing and returning the failed model." + return "N/A", "N/A", "N/A", "N/A", "N/A", "N/A", REoptInputs_Combined, data_eng, "Value not saved", pm, "N/A", "N/A", "N/A", "N/A", "N/A", "N/A", "N/A", "N/A" + end + + REopt_Results, PMD_Results, DataDictionaryForEachNode, Dictionary_LineFlow_Power_Series, DataFrame_LineFlow_Summary, line_upgrade_results = Results_Processing_REopt_PMD_Model(pm.model, results, data_math_mn, REoptInputs_Combined, Multinode_Inputs, timestamp, time_results; allow_upgrades=allow_upgrades, line_upgrade_options_each_line = line_upgrade_options_each_line, BAU_case=BAU_case) + + print("\n Completed the build_run_and_process_results step") + + if !(Multinode_Inputs.include_additional_outputs_into_the_combined_results_dictionary) + data_math_mn = "Value not saved" + end + + return REopt_Results, PMD_Results, DataFrame_LineFlow_Summary, Dictionary_LineFlow_Power_Series, DataDictionaryForEachNode, LineInfo_PMD, REoptInputs_Combined, data_eng, data_math_mn, pm, line_upgrade_options_each_line, line_upgrade_results, load_phase_dictionary, gen_ind_e_to_REopt_node, REopt_gen_ind_e, connections, connections_upstream, connections_downstream +end + + +function create_list_of_upgradable_lines(Multinode_Inputs) + # Create a list lines that are upgradable + + lines_for_upgrades_temp = [] + for i in keys(Multinode_Inputs.line_upgrade_options) + push!(lines_for_upgrades_temp, Multinode_Inputs.line_upgrade_options[i]["locations"]) + end + lines_for_upgrades = unique!(lines_for_upgrades_temp)[1] + + return lines_for_upgrades +end + + +function CreateDictionaryOfLineUpgradeOptions(Multinode_Inputs) + # Generate a dictionary for the options, organized so that the keys are the lines and the values are options for each line + + lines_for_upgrades = create_list_of_upgradable_lines(Multinode_Inputs) + + line_upgrade_options_each_line = Dict([]) + + for line in lines_for_upgrades + for i in keys(Multinode_Inputs.line_upgrade_options), j in Multinode_Inputs.line_upgrade_options[i]["locations"] + if line == j + + if line āˆ‰ keys(line_upgrade_options_each_line) # create a new entry for that line if it is not in the line_upgrade_options_each_line dictionary + + line_upgrade_options_each_line[line] = Dict([("max_amperage", [Multinode_Inputs.line_upgrade_options[i]["max_amps"]]), + ("cost_per_length", [Multinode_Inputs.line_upgrade_options[i]["cost_per_meter"]]), + ("voltage_kv", Multinode_Inputs.line_upgrade_options[i]["voltage_kv"]) # all upgrade options for a given line should have the same voltage + #("rvalues", [Multinode_Inputs.line_upgrade_options[i]["rvalues"]]), + #("xvalues", [Multinode_Inputs.line_upgrade_options[i]["xvalues"]]) + ]) + else + push!(line_upgrade_options_each_line[line]["max_amperage"], Multinode_Inputs.line_upgrade_options[i]["max_amps"]) + push!(line_upgrade_options_each_line[line]["cost_per_length"], Multinode_Inputs.line_upgrade_options[i]["cost_per_meter"]) + #push!(line_upgrade_options_each_line[line_name]["rvalues"], Multinode_Inputs.line_upgrade_options[i]["rvalues"]) + #push!(line_upgrade_options_each_line[line_name]["xvalues"], Multinode_Inputs.line_upgrade_options[i]["xvalues"]) + end + end + end + end + + return line_upgrade_options_each_line +end + + +function model_line_upgrades(pm, Multinode_Inputs, LineInfo, data_eng) + # Function for modeling line upgrades + + lines_for_upgrades = create_list_of_upgradable_lines(Multinode_Inputs) + + print("\n The lines for upgrades are: $(lines_for_upgrades) ") + + # Define variables for the line cost and line max amps + @variable(pm.model, line_cost[lines_for_upgrades] >= 0 ) + @variable(pm.model, line_max_amps[lines_for_upgrades] >= 0) + + line_upgrade_options_each_line = CreateDictionaryOfLineUpgradeOptions(Multinode_Inputs) + + for line in lines_for_upgrades + + number_of_entries = length(line_upgrade_options_each_line[line]["max_amperage"]) + dv = "Bin"*line + pm.model[Symbol(dv)] = @variable(pm.model, [1:number_of_entries], base_name=dv, Bin) + line_length = data_eng["line"][line]["length"] + + @constraint(pm.model, pm.model[:line_max_amps][line] == sum(pm.model[Symbol(dv)][i]*line_upgrade_options_each_line[line]["max_amperage"][i] for i in 1:number_of_entries)) + @constraint(pm.model, pm.model[:line_cost][line] == line_length * sum(pm.model[Symbol(dv)][i]*line_upgrade_options_each_line[line]["cost_per_length"][i] for i in 1:number_of_entries)) + @constraint(pm.model, sum(pm.model[Symbol(dv)][i] for i in 1:number_of_entries) == 1) + + # Constraint for limiting the power flow through line xxxx to the line_max_amps variable constrained + i = LineInfo[line]["index"] + + # Based off of code in line 470 of PMD's src>core>constraint_template + timestep = 1 # collect the network configuration information from timestep 1, which assumes that the network is not changing (fair to assume with the REopt integration) + branch = PowerModelsDistribution.ref(pm, timestep, :branch, i) + f_bus = branch["f_bus"] + t_bus = branch["t_bus"] + f_connections = branch["f_connections"] + t_connections = branch["t_connections"] + f_idx = (i, f_bus, t_bus) + t_idx = (i, t_bus, f_bus) + + if Multinode_Inputs.display_information_during_modeling_run + print("\n The f_idx for line $(line) is $(f_idx)") + print("\n The t_idx for line $(line) is $(t_idx)") + end + + for timestep in Multinode_Inputs.PMD_time_steps + PMD_time_step = findall(x -> x==timestep, Multinode_Inputs.PMD_time_steps)[1] #use the [1] to convert the 1-element vector into an integer + + p_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :p, f_idx)[c] for c in f_connections] + p_to = [PowerModelsDistribution.var(pm, PMD_time_step, :p, t_idx)[c] for c in t_connections] + + @constraint(pm.model, p_fr[1] <= pm.model[:line_max_amps][line] * line_upgrade_options_each_line[line]["voltage_kv"]) + @constraint(pm.model, p_fr[1] >= -pm.model[:line_max_amps][line] * line_upgrade_options_each_line[line]["voltage_kv"]) + + @constraint(pm.model, p_to[1] <= pm.model[:line_max_amps][line] * line_upgrade_options_each_line[line]["voltage_kv"]) + @constraint(pm.model, p_to[1] >= -pm.model[:line_max_amps][line] * line_upgrade_options_each_line[line]["voltage_kv"]) + + end + end + + return pm, line_upgrade_options_each_line +end + + +function model_transformer_upgrades(pm, Multinode_Inputs) + # TODO: add this capability + + return pm +end + + +function PrepareREoptInputs(Multinode_Inputs, time_results) + # Generate the scenarios, REoptInputs, and list of REoptInputs + + print("\n Creating the REopt scenarios") + scenarios = Dict([]) + Start_time_prepare_REopt_scenarios = now() + for i in 1:length(Multinode_Inputs.REopt_inputs_list) + scenarios[i] = Scenario(Multinode_Inputs.REopt_inputs_list[i]) + end + milliseconds, time_results["Step $(length(keys(time_results))+1): prepare_REopt_scenarios_time_minutes"] = CalculateComputationTime(Start_time_prepare_REopt_scenarios) + + + print("\n Converting the REopt scenarios into the REoptInputs format") + REoptInputs_dictionary = Dict([]) + Start_time_prepare_REoptInputs = now() + for i in 1:length(Multinode_Inputs.REopt_inputs_list) + REoptInputs_dictionary[i] = REoptInputs(scenarios[i]) + end + milliseconds, time_results["Step $(length(keys(time_results))+1): prepare_REoptInputs_time_minutes"] = CalculateComputationTime(Start_time_prepare_REoptInputs) + + + print("\n Compiling the REoptInputs into the same dictionary") + Start_time_compile_REoptInputs_Into_Same_Dictionary = now() + REopt_dictionary = [REoptInputs_dictionary[1]] + for i in 2:length(Multinode_Inputs.REopt_inputs_list) + push!(REopt_dictionary, REoptInputs_dictionary[i]) + end + milliseconds, time_results["Step $(length(keys(time_results))+1): compile_REoptInputs_Into_Same_Dictionary"] = CalculateComputationTime(Start_time_compile_REoptInputs_Into_Same_Dictionary) + + return REopt_dictionary +end + + +function SetTechSizesToZero(Multinode_Settings) + + Multinode_Settings_No_Techs = deepcopy(Multinode_Settings) + + for i in 1:length(Multinode_Settings_No_Techs["REopt_inputs_list"]) + if ("PV" in keys(Multinode_Settings_No_Techs["REopt_inputs_list"][i])) && (string(Multinode_Settings_No_Techs["REopt_inputs_list"][i]["Site"]["node"]) != Multinode_Settings["facilitymeter_node"]) + delete!(Multinode_Settings_No_Techs["REopt_inputs_list"][i], "PV") + end + if "ElectricStorage" in keys(Multinode_Settings_No_Techs["REopt_inputs_list"][i]) + delete!(Multinode_Settings_No_Techs["REopt_inputs_list"][i], "ElectricStorage") + end + if "Generator" in keys(Multinode_Settings_No_Techs["REopt_inputs_list"][i]) + delete!(Multinode_Settings_No_Techs["REopt_inputs_list"][i], "Generator") + end + if string(Multinode_Settings_No_Techs["REopt_inputs_list"][i]["Site"]["node"]) != Multinode_Settings["facilitymeter_node"] + Multinode_Settings_No_Techs["REopt_inputs_list"][i]["ElectricUtility"]["net_metering_limit_kw"] = 0 + Multinode_Settings_No_Techs["REopt_inputs_list"][i]["ElectricUtility"]["interconnection_limit_kw"] = 0 + Multinode_Settings_No_Techs["REopt_inputs_list"][i]["PV"]["can_net_meter"] = false + end + end + + Multinode_Settings_No_Techs["single_outage_start_time_step"] = 5 + Multinode_Settings_No_Techs["single_outage_end_time_step"] = 5 # set to same time as outage start time step so a single outage is not modeled + Multinode_Settings_No_Techs["outages_vector"] = [] + Multinode_Settings_No_Techs["run_outage_simulator"] = false + Multinode_Settings_No_Techs["generate_CSV_of_outputs"] = false + Multinode_Settings_No_Techs["model_line_upgrades"] = false + Multinode_Settings_No_Techs["model_transformer_upgrades"] = false + Multinode_Settings_No_Techs["allow_export_beyond_substation"] = false + + return Multinode_Settings_No_Techs +end + +# This function is a slight modification to the calc_voltage_bases function in PMD +function calc_voltage_bases(data_model::Dict{String,<:Any}, vbase_sources::Dict{String, <:Any})::Tuple{Dict,Dict} + return ismath(data_model) ? calc_math_voltage_bases(data_model, vbase_sources) : calc_eng_voltage_bases(data_model, vbase_sources) +end + + +function ApplyDataEngSettings(data_eng, Multinode_Inputs) + # Apply several miscellaneous settings to the data_eng dictionary + + data_eng["settings"]["sbase_default"] = 1.0*1E3/data_eng["settings"]["power_scale_factor"] # Set the power base (sbase) equal to 1 kW + data_eng["voltage_source"]["source"]["bus"] = Multinode_Inputs.substation_node # "sourcebus" + data_eng["settings"]["name"] = "OptimizationModel" + + PowerModelsDistribution.add_bus_absolute_vbounds!( + data_eng, + phase_lb_pu = Multinode_Inputs.bus_phase_voltage_lower_bound_per_unit, + phase_ub_pu = Multinode_Inputs.bus_phase_voltage_upper_bound_per_unit, + neutral_ub_pu = Multinode_Inputs.bus_neutral_voltage_upper_bound_per_unit + ) + +end + + +function ApplyLoadProfileToPMDModel(Multinode_Inputs, data_eng, PMD_number_of_timesteps, REopt_nodes; combined_REopt_inputs = "") + # Apply a timeseries load profile to the PMD model + + data_eng["time_series"] = Dict{String,Any}() + data_eng["time_series"]["normalized_load_profile"] = Dict{String,Any}("replace" => false, + "time" => 1:PMD_number_of_timesteps, + "values" => zeros(PMD_number_of_timesteps) + ) + + if Multinode_Inputs.number_of_phases == 1 + for i in REopt_nodes + data_eng["load"]["load$(i)"]["time_series"] = Dict( + "pd_nom"=>"normalized_load_profile", + "qd_nom"=> "normalized_load_profile" + ) + end + elseif Multinode_Inputs.number_of_phases in [2,3] + for p in combined_REopt_inputs + node = p.s.site.node + if node in REopt_nodes + for phase in p.s.settings.phase_numbers + print("\n Adding PMD load empty time series to REopt node $(node), phase $(phase)") + data_eng["load"]["load$(node)_phase$(phase)"]["time_series"] = Dict( + "pd_nom"=>"normalized_load_profile", + "qd_nom"=> "normalized_load_profile" + ) + end + end + end + print("\n ") + else + throw(@error("The number_of_phases in the multinode inputs dictionary $(Multinode_Inputs.number_of_phases) is invalid")) + end +end + + +function CreatePMDGenerators(Multinode_Inputs, data_eng, REopt_nodes; combined_REopt_inputs = "") + # Add a generic PMD generator for each REopt node to the model, in order to be able to connect the REopt and PMD models + + data_eng["generator"] = Dict{String, Any}() + if Multinode_Inputs.number_of_phases == 1 + for e in REopt_nodes + data_eng["generator"]["REopt_gen_$(e)"] = Dict{String,Any}( + "status" => PowerModelsDistribution.ENABLED, + "bus" => data_eng["load"]["load$(e)"]["bus"], + "connections" => [data_eng["load"]["load$(e)"]["connections"][1], 4], # Note: From PMD tutorial: "create a generator with the same connection setting." + "configuration" => PowerModelsDistribution.WYE, + ) + end + elseif Multinode_Inputs.number_of_phases in [2,3] + for p in combined_REopt_inputs + e = p.s.site.node + + if e in REopt_nodes + for phase in p.s.settings.phase_numbers + #print("\n The connections are: ") + #print(data_eng["load"]["load$(e)_phase$(phase)"]["connections"]) + #print("\n") + data_eng["generator"]["REopt_gen_node$(e)_phase$(phase)"] = Dict{String,Any}( + "status" => PowerModelsDistribution.ENABLED, + "bus" => data_eng["load"]["load$(e)_phase$(phase)"]["bus"], + "connections" => [data_eng["load"]["load$(e)_phase$(phase)"]["connections"][1], 4], # data_eng["load"]["load$(e)_phase$(phase)"]["connections"][1] will show the phase connection for that load. Does this only work with single phase loads? Note: From PMD tutorial: "create a generator with the same connection setting." + "configuration" => PowerModelsDistribution.WYE, + ) + end + end + end + else + throw(@error("The number_of_phases for node $(i) is invalid")) + end +end + + +function Create_PMD_Model_For_REopt_Integration(Multinode_Inputs, PMD_number_of_timesteps, time_results; combined_REopt_inputs = "", outage_simulator = false, BAU_case = false) + + if typeof(Multinode_Inputs.PMD_network_input) == String + print("\n Parsing the network input file \n") + data_eng = PowerModelsDistribution.parse_file(Multinode_Inputs.PMD_network_input, transformations=[PowerModelsDistribution.remove_all_bounds!]) + @info "Completed parsing the .dss file" + elseif typeof(Multinode_Inputs.PMD_network_input) == Dict{String, Any} + print("\n Saving the PMD network input as a variable") + data_eng = Multinode_Inputs.PMD_network_input + print("\n Completed the PMD network input as a variable") + else + throw(@error("The PMD_network_input input format is not valid")) + end + + data_eng_keys = keys(data_eng) + print("\n The data_eng keys are $(data_eng_keys)") + #print("\n The data_eng bus keys are $(keys(data_eng["bus"]))") + #print("\n The data_eng load keys are $(keys(data_eng["load"]))") + + Start_generate_REopt_nodes_list = now() + REopt_nodes = REopt.GenerateREoptNodesList(Multinode_Inputs) # Generate a list of the REopt nodes + + Start_apply_data_eng_settings = now() + ApplyDataEngSettings(data_eng, Multinode_Inputs) + + Start_apply_load_profile_to_PMD_model = now() + ApplyLoadProfileToPMDModel(Multinode_Inputs, data_eng, PMD_number_of_timesteps, REopt_nodes; combined_REopt_inputs = combined_REopt_inputs) + + Start_create_PMD_generators = now() + CreatePMDGenerators(Multinode_Inputs, data_eng, REopt_nodes; combined_REopt_inputs = combined_REopt_inputs) + + # Beginning of code provided by AI + # Kron reduction requires f_connections == t_connections for every line and switch. + # Some DSS lines include the neutral conductor (4) in connections but reference a + # 3Ɨ3 linecode (so rs is not inlined), or have asymmetric Bus1/Bus2 conductor lists. + # This function makes both connection vectors consistent before transform_data_model. + function fix_line_connections_for_kron!(data_eng) + n_fixed = 0 + for comp_type in ("line", "switch") + for (name, comp) in get(data_eng, comp_type, Dict()) + f_conns = get(comp, "f_connections", Int[]) + t_conns = get(comp, "t_connections", Int[]) + + # Step 1: if an inline rs matrix is smaller than the connection count, + # strip conductor 4 (neutral) from both sides. + rs = get(comp, "rs", nothing) + if rs !== nothing + n_matrix = size(rs, 1) + if n_matrix < max(length(f_conns), length(t_conns)) + f_conns = filter(c -> c != 4, f_conns) + t_conns = filter(c -> c != 4, t_conns) + comp["f_connections"] = f_conns + comp["t_connections"] = t_conns + n_fixed += 1 + end + end + + # Step 2: Kron reduction asserts f_connections == t_connections. + # If they still differ (e.g. neutral on one end only, or different + # ordering from the DSS Bus1/Bus2 specs), force t to match f. + if f_conns != t_conns + comp["t_connections"] = copy(f_conns) + n_fixed += 1 + end + end + end + println("fix_line_connections_for_kron!: corrected $n_fixed line/switch connection vector(s)") + end + fix_line_connections_for_kron!(data_eng) + # End of code provided by AI + + kron_reduce_indicator=true + Start_transform_to_math_model = now() + data_math_mn = PowerModelsDistribution.transform_data_model(data_eng, kron_reduce=kron_reduce_indicator, multinetwork=true) # Transforming the engineering model to a mathematical model in PMD + + # Initialize voltage variable values: + @info "running add_start_vrvi (this may take a few minutes for large models)\n" + Start_vrvi = now() + if Multinode_Inputs.number_of_phases == 1 + PowerModelsDistribution.add_start_vrvi!(data_math_mn) + else + @warn "Not using the add_start_vrvi function from PMD because the system is multiphase and the add_start_vrvi function appears not to work with multi-phase systems in this code" + end + + milliseconds, PMD_vrvi_time_minutes = CalculateComputationTime(Start_vrvi) + print("\n The PMD_vrvi_time was: $(PMD_vrvi_time_minutes) minutes \n") + + print("\n Instantiating the PMD model (this may take a few minutes for large models)\n") + Start_instantiate = now() + + if Multinode_Inputs.model_subtype == "LPUBFDiagPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.LPUBFDiagPowerModel, PowerModelsDistribution.build_mn_mc_opf) # Note: instantiate_mc_model automatically converts the "engineering" model into a "mathematical" model + elseif Multinode_Inputs.model_subtype == "NFAUPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.NFAUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif Multinode_Inputs.model_subtype == "ACPUPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.ACPUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif Multinode_Inputs.model_subtype == "ACRUPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.ACRUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif Multinode_Inputs.model_subtype == "IVRUPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.IVRUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif Multinode_Inputs.model_subtype == "SOCNLPUBFPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.SOCNLPUBFPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif Multinode_Inputs.model_subtype == "SOCConicUBFPowerModel" + pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.SOCConicUBFPowerModel, PowerModelsDistribution.build_mn_mc_opf) + else + throw(@error("The PMD subtype is not valid")) + end + + milliseconds, PMD_instantiate_time_minutes = CalculateComputationTime(Start_instantiate) + print("\n The PMD_instantiate_time was: $(PMD_instantiate_time_minutes) minutes \n") + + # Record additional computation times for non-outage-simulator models + if outage_simulator == false + if BAU_case == true + BAU_indicator = "BAU_model_" + else + BAU_indicator = "" + end + + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"PMD_instantiate_time_minutes"] = PMD_instantiate_time_minutes + + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"PMD_vrvi_time_minutes"] = PMD_vrvi_time_minutes + + milliseconds, PMD_transform_to_math_model_time_minutes = CalculateComputationTime(Start_transform_to_math_model) + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"PMD_transform_to_math_model_minutes"] = PMD_transform_to_math_model_time_minutes + + milliseconds, generate_REopt_nodes_list_minutes = CalculateComputationTime(Start_generate_REopt_nodes_list) + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"generate_REopt_nodes_list_minutes"] = generate_REopt_nodes_list_minutes + + milliseconds, apply_data_eng_settings_minutes = CalculateComputationTime(Start_apply_data_eng_settings) + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"apply_data_eng_settings_minutes"] = apply_data_eng_settings_minutes + + milliseconds, apply_load_profile_to_PMD_model_minutes = CalculateComputationTime(Start_apply_load_profile_to_PMD_model) + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"apply_load_profile_to_PMD_model_minutes"] = apply_load_profile_to_PMD_model_minutes + + milliseconds, create_PMD_generators_minutes = CalculateComputationTime(Start_create_PMD_generators) + time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"create_PMD_generators_minutes"] = create_PMD_generators_minutes + end + + return pm, data_math_mn, data_eng +end + + +function CreateREoptTotalExportVariables(m, REoptInputs_Combined) + # Create Total Export variables for each REopt node, except for the facility meter node + + for p in REoptInputs_Combined + _n = string("_", p.s.site.node) + if string(p.s.site.node) != p.s.settings.facilitymeter_node + m[Symbol("TotalExport"*_n)] = @expression(m, [ts in p.time_steps], + sum( + m[Symbol("dvProductionToGrid"*_n)][t,u,ts] + for t in p.techs.elec, u in p.export_bins_by_tech[t] + ) + + sum(m[Symbol("dvStorageToGrid"*_n)][b,ts] for b in p.s.storage.types.all ) # This line includes battery export in the total export + ) + else + print("\n Not creating a total export variable for node $(p.s.site.node) because this node is the facility meter node.") + end + end + +end + + +function create_load_phase_dictionary(Multinode_Inputs, REopt_nodes, REopt_inputs_combined) + # Create a dictionary that lists the phases that are associated with each load + load_phase_dictionary = Dict() + + for p in REopt_inputs_combined + if p.s.site.node in REopt_nodes + load_phase_dictionary[p.s.site.node] = p.s.settings.phase_numbers + end + end + return load_phase_dictionary +end + + +function create_dictionary_for_gen_ind_e_to_REopt_node(Multinode_Inputs, REopt_nodes, load_phase_dictionary, gen_name2ind) + + if Multinode_Inputs.number_of_phases == 1 + gen_ind_e_to_REopt_node = Dict() + for e in REopt_nodes + gen_ind_e_temp = gen_name2ind["REopt_gen_$(e)"] + gen_ind_e_to_REopt_node[gen_ind_e_temp] = e + end + + elseif Multinode_Inputs.number_of_phases in [2,3] + gen_ind_e_to_REopt_node = Dict() + for e in REopt_nodes + for phase in load_phase_dictionary[e] + gen_ind_e_temp = gen_name2ind["REopt_gen_node$(e)_phase$(phase)"] + gen_ind_e_to_REopt_node[gen_ind_e_temp] = e + end + end + + else + throw(@error("The number of phases input is not valid")) + end + + return gen_ind_e_to_REopt_node +end + + +function generate_PMD_information(Multinode_Inputs, REopt_nodes, REopt_inputs_combined, data_math_mn) + + gen_name2ind = Dict(gen["name"] => gen["index"] for (_,gen) in data_math_mn["nw"]["1"]["gen"]) + + load_phase_dictionary = create_load_phase_dictionary(Multinode_Inputs, REopt_nodes, REopt_inputs_combined) + + gen_ind_e_to_REopt_node = create_dictionary_for_gen_ind_e_to_REopt_node(Multinode_Inputs, REopt_nodes, load_phase_dictionary, gen_name2ind) + + return gen_name2ind, load_phase_dictionary, gen_ind_e_to_REopt_node +end + + +function LinkREoptAndPMD(pm, m, data_math_mn, Multinode_Inputs, REopt_nodes, REopt_inputs_combined) + # Link the PMD and REopt variables through constraints + + gen_name2ind, load_phase_dictionary, gen_ind_e_to_REopt_node = generate_PMD_information(Multinode_Inputs, REopt_nodes, REopt_inputs_combined, data_math_mn) + + if Multinode_Inputs.display_information_during_modeling_run + print("\n gen_ind_e_to_REopt_node") + print(gen_ind_e_to_REopt_node) + print("\n") + end + + REopt_gen_ind_e = "" + + if Multinode_Inputs.number_of_phases == 1 + REopt_gen_ind_e = [gen_name2ind["REopt_gen_$(e)"] for e in REopt_nodes]; + + elseif (Multinode_Inputs.number_of_phases == 2) || (Multinode_Inputs.number_of_phases == 3) + + REopt_gen_ind_e = [] + + print("\n Gen name to index: ") + print(gen_name2ind) + + for e in REopt_nodes + for phase in load_phase_dictionary[e] + # Add the gen index to the REopt_gen_ind_e list + gen_ind_e_temp = gen_name2ind["REopt_gen_node$(e)_phase$(phase)"] + push!(REopt_gen_ind_e, gen_ind_e_temp) + + end + end + else + throw(@error("Error in the number of phases")) + end + + PMDTimeSteps_InREoptTimes = Multinode_Inputs.PMD_time_steps + PMDTimeSteps_Indeces = collect(1:length(PMDTimeSteps_InREoptTimes)) + + # Get the gen indeces this way: gen_name2ind = Dict(gen["name"] => gen["index"] for (_,gen) in data_math_mn["nw"]["1"]["gen"]) + + #= + dv = "dvFreeReactivePower" + m[Symbol(dv)] = @variable(m, [REopt_gen_ind_e, PMDTimeSteps_Indeces], base_name=dv) + + @constraint(m, [k in PMDTimeSteps_Indeces, e in REopt_gen_ind_e], m[:dvFreeReactivePower][e,k] .<= 0), #500 ) + @constraint(m, [k in PMDTimeSteps_Indeces, e in REopt_gen_ind_e], m[:dvFreeReactivePower][e,k] .>= 0), #-500 ) + =# + + for e in REopt_gen_ind_e #Note: the REopt_gen_ind_e does not contain the facility meter + + number_of_phases_at_load = "" + number_of_phases_at_load = length(load_phase_dictionary[gen_ind_e_to_REopt_node[e]]) + + # Note: evenly split the total export and import across each phase associated with that load (aka REopt node, aka PMD generator) + JuMP.@constraint(m, [k in PMDTimeSteps_Indeces], + PowerModelsDistribution.var(pm, k, :pg, e).data[1] .== round((1/number_of_phases_at_load), digits = 3) * (m[Symbol("TotalExport_"*string(gen_ind_e_to_REopt_node[e]))][PMDTimeSteps_InREoptTimes[k]] - m[Symbol("dvGridPurchase_"*string(gen_ind_e_to_REopt_node[e]))][PMDTimeSteps_InREoptTimes[k]]) # negative power "generation" is a load + ) + + # TODO: add reactive power to the REopt nodes + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + JuMP.@constraint(m, [k in PMDTimeSteps_Indeces], + PowerModelsDistribution.var(pm, k, :qg, e).data[1] .== 0.0 # m[:dvFreeReactivePower][e,k] # (1/number_of_phases_at_load) * m[Symbol("TotalExport_"*string(buses[e]))][PMDTimeSteps_InREoptTimes[k]] - m[Symbol("dvGridPurchase_"*string(buses[e]))][PMDTimeSteps_InREoptTimes[k]] + ) + end + end + + return REopt_gen_ind_e, load_phase_dictionary, gen_ind_e_to_REopt_node + +end + + +function add_transformer_lines_to_the_dictionary(data_eng, lines, phases_for_each_line) + # Represent transformers as lines because voltage is not modeled in the simple powerflow representation without PMD + + transformers = collect(keys(data_eng["transformer"])) + transformer_busses = Dict() + for transformer_name in transformers + transformer_bus1 = data_eng["transformer"][transformer_name]["bus"][1] + transformer_bus2 = data_eng["transformer"][transformer_name]["bus"][2] + transformer_line = "xfmr_line_"*string(transformer_bus1)*"_"*string(transformer_bus2) + transformer_busses[transformer_line] = [transformer_bus1, transformer_bus2] + if !(transformer_line in lines) + push!(lines, transformer_line) + else + print("\n Not adding $(transformer_line) to the lines vector because it already exists. This is likely due to a multiple single phase transformers (or voltage regulators) connecting the same busses. The total power rating for these may need to be added together in the model inputs.") + end + + # Add the phases for the transformer line to dictionary: + if !(transformer_line in collect(keys(phases_for_each_line))) # use this conditional to avoid adding multiple lines for the same connection between two nodes (could occur if there are single phase transformers or voltage regulators connecting each of of two adjacent three-phase busses) + phases_for_each_line[transformer_line] = filter!(x -> x != 4, data_eng["transformer"][transformer_name]["connections"][1]) # Remove the 4 connection (the neutral I think) for the purposes of this simple powerflow equation + else + # Add the phase to the existing line between the two busses (which is from another transformer or voltage regulator, likely a single phase transformer connecting the same two busses) + append!(phases_for_each_line[transformer_line], filter!(x -> x != 4, data_eng["transformer"][transformer_name]["connections"][1])) + end + end + + return phases_for_each_line, lines, transformer_busses +end + + +function CreateDictionaryOfNodeConnections(Multinode_Inputs, data_eng) + # Create dictionary with information about which lines are connected to each bus + + summed_lengths_to_sourcebus_dict, lengths_to_sourcebus_dict, line_names_to_sourcebus_dict, paths, neighbors = REopt.DetermineDistanceFromSourcebus(Multinode_Inputs, data_eng) + print("\n Finished determining the distance from the sourcebus") + + # Create a new dictionary based on the paths (which will include the transformer path) + line_names_to_sourcebus_dict_including_transformers = "This variable is not used anymore" # Dict() + + # Initial the lines vector based on data in PMD (which doesn't represent the transformers as lines) + lines = collect(keys(data_eng["line"])) + + # Initiate this dictionary with just the phases for each line; + phases_for_each_line = create_dictionary_of_phases_for_each_line(data_eng) + + # Then add the line IDs and phases for each transformer, representing the transformers as lines + phases_for_each_line_and_transformer_line, lines, transformer_busses = add_transformer_lines_to_the_dictionary(data_eng, lines, phases_for_each_line) + + connections_upstream_busses = Dict() + connections_downstream_busses = Dict() + all_lines_including_transformers_converted_to_lines = collect(keys(phases_for_each_line_and_transformer_line)) + + all_busses = keys(neighbors) + for bus in all_busses + upstream_path = paths[bus] + neighboring_busses = neighbors[bus] + + overlap = intersect(neighboring_busses, upstream_path) + if length(overlap) > 1 # This should be correected if want to model mesh networks + throw(@error("There are multiple upstream busses to bus $(bus)")) + end + + if length(overlap) == 1 + #print("\n Overlap length is 1") + upstream_bus = overlap[1] + else + print("\n Overlap length is not 1 or greater than 1 for bus $(bus), which should be the source bus") + print("\n") + upstream_bus = "N/A" + end + + downstream_busses = setdiff(neighboring_busses, upstream_path) # Finds the busses that are neighbors that are not part of the upstream path + connections_upstream_busses[bus] = upstream_bus + connections_downstream_busses[bus] = downstream_busses + end + + bus_pair_to_line_conversion = Dict() + + for line in all_lines_including_transformers_converted_to_lines + if line in keys(data_eng["line"]) + node1 = data_eng["line"][line]["f_bus"] + node2 = data_eng["line"][line]["t_bus"] + bus_pair_to_line_conversion[(node1, node2)] = line + elseif line in keys(transformer_busses) + node1 = transformer_busses[line][1] + node2 = transformer_busses[line][2] + bus_pair_to_line_conversion[(node1, node2)] = line + else + throw(@error("Error converting the bus-pair to line for line $(line) ")) + end + end + + connections_upstream_lines = Dict() + connections_downstream_lines = Dict() + + # Loop through all downstream connections_busses and identify the corresponding line using the bus_pair_to_line_conversion + for bus in collect(keys(connections_downstream_busses)) + downstream_lines_temp = [] + downstream_buses = connections_downstream_busses[bus] + for downstream_bus in downstream_buses + if (bus, downstream_bus) in keys(bus_pair_to_line_conversion) + push!(downstream_lines_temp, bus_pair_to_line_conversion[(bus, downstream_bus)]) + elseif (downstream_bus, bus) in keys(bus_pair_to_line_conversion) + push!(downstream_lines_temp, bus_pair_to_line_conversion[(downstream_bus, bus)]) + else + throw(@error("No line found for the downstream neighboring bus pair $(bus) and $(downstream_bus)")) + end + end + connections_downstream_lines[bus] = downstream_lines_temp + end + + # Loop through all upstream connections_busses and identify the corresponding line using the bus_pair_to_line_conversion + for bus in collect(keys(connections_upstream_busses)) + upstream_lines_temp = [] + upstream_bus = connections_upstream_busses[bus] + #for upstream_bus in upstream_buses # use something like this for mesh networks probably + if (bus, upstream_bus) in keys(bus_pair_to_line_conversion) + push!(upstream_lines_temp, bus_pair_to_line_conversion[(bus, upstream_bus)]) + elseif (upstream_bus, bus) in keys(bus_pair_to_line_conversion) + push!(upstream_lines_temp, bus_pair_to_line_conversion[(upstream_bus, bus)]) + elseif bus == Multinode_Inputs.substation_node + print("\n The bus $(bus) is the substation node, so no upstream lines are being added to the connections_upstream_lines dictionary for that bus") + else + throw(@error("No line found for the upstream neighboring bus pair $(bus) and $(upstream_bus)")) + end + #end + connections_upstream_lines[bus] = upstream_lines_temp + end + + all_connections_lines_to_busses = merge(connections_downstream_lines, connections_upstream_lines) do a, b + vcat(a, b) + end + + if Multinode_Inputs.display_information_during_modeling_run + # Save some text files showing connectivity from the simple powerflow model + open(Multinode_Inputs.folder_location*"/paths.txt","w") do input + for (key, val) in paths + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/neighbors.txt","w") do input + for (key, val) in neighbors + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/all_connections_lines_to_busses.txt","w") do input + for (key, val) in all_connections_lines_to_busses + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/connections_upstream_busses.txt","w") do input + for (key, val) in connections_upstream_busses + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/connections_downstream_busses.txt","w") do input + for (key, val) in connections_downstream_busses + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/bus_pair_to_line_conversion.txt","w") do input + for (key, val) in bus_pair_to_line_conversion + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/connections_downstream_lines.txt","w") do input + for (key, val) in connections_downstream_lines + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/connections_upstream_lines.txt","w") do input + for (key, val) in connections_upstream_lines + println(input, "$key => $val" ) + end + end + end + + return all_connections_lines_to_busses, connections_upstream_lines, connections_downstream_lines, lines, transformer_busses, line_names_to_sourcebus_dict_including_transformers, phases_for_each_line_and_transformer_line +end + + +function create_dictionary_of_phases_for_each_line(data_eng) + data = Dict([]) + + for line in keys(data_eng["line"]) + data[line] = data_eng["line"][line]["t_connections"] + end + + return data +end + + +function create_dictionary_of_phases_for_each_bus(data_eng) + data = Dict([]) + + for bus in keys(data_eng["bus"]) + data[bus] = filter(x -> x != 4, data_eng["bus"][bus]["terminals"]) # remove the 4 from the list of terminals to get the phase numbers + end + + return data +end + + +function AddSimplePowerFlowConstraintsToNonPMDTimesteps(Multinode_Inputs, REoptInputs_Combined, pm, m, REoptTimeSteps, LineInfo, REopt_nodes, data_eng) + print("\n Adding Simple Powerflow Constraints to Non-PMD Timesteps: This can take a few minutes for very large models") + + time_steps_without_PMD = setdiff(REoptTimeSteps, Multinode_Inputs.PMD_time_steps) + indeces = collect(1:length(time_steps_without_PMD)) + print("\n Generated timesteps vector and indeces") + + connections, connections_upstream, connections_downstream, lines, transformer_busses, line_names_to_sourcebus_dict_including_transformers, phases_for_each_line_and_transformer_line = CreateDictionaryOfNodeConnections(Multinode_Inputs, data_eng) # Note: the lines variable here includes lines that represent the transformer + print("\n Finished creating a dictionary of node connections") + + if Multinode_Inputs.display_information_during_modeling_run + print("\n") + print("\n Connectivity information used in the simple power flow model:") + print("\n The connections are: ") + print(connections) + print("\n\n The upstream connections are: ") + print(connections_upstream) + print("\n\n The downstream connections are: ") + print(connections_downstream) + print("\n") + print("\n") + end + + if Multinode_Inputs.number_of_phases == 3 + phases = [1,2,3] + elseif Multinode_Inputs.number_of_phases == 2 + phases = [1,2] + elseif Multinode_Inputs.number_of_phases == 1 + phases = [1] + else + throw(@error("The input for the number of phases is invalid")) + end + + # Create a dictionary such that, for instance, phases_for_each_line["line_name"] = [1,2,3] for three phase, or [3] for single phase on phase #3, or [2,3] for two phase + print("\n Generating dvP variable for busses (this may take a few minutes for large models using the simple powerflow constraints)") + + phases_for_each_bus = create_dictionary_of_phases_for_each_bus(data_eng) + all_busses = collect(keys(data_eng["bus"])) # This includes both the PMD and the REopt busses + @variable(m, dvP[bus in all_busses, phase in phases, t in indeces; phase in phases_for_each_bus[bus]] >= -1000000 ) + #@variable(m, Q[REopt_nodes] >= -10000000) + + print("\n Generating dvP variable for lines (this may take a few minutes for large models using the simple powerflow constraints)") + phases_for_each_line = create_dictionary_of_phases_for_each_line(data_eng) + + if Multinode_Inputs.display_information_during_modeling_run + print("\n The lines are: $(lines)") + print("\n") + #print("\n The phases for each line are: $(phases_for_each_line)") + #print("\n") + print("\n The phases for each line are: $(phases_for_each_line_and_transformer_line)") + print("\n") + end + + @variable(m, dvPline[line in lines, phase in phases, t in indeces; phase in phases_for_each_line_and_transformer_line[line]] >= -1000000) + #@variable(m, dvQline[lines, indeces]) + print("\n Completed dvP variable generation") + + phases_for_each_line = phases_for_each_line_and_transformer_line + + # Add constraints for maximum power through each line + if Multinode_Inputs.model_line_upgrades + print("Adding simple powerflow constraints to allow for line upgrades") + line_upgrade_options_each_line = CreateDictionaryOfLineUpgradeOptions(Multinode_Inputs) + for line in lines + + if line in collect(keys(phases_for_each_line)) # prevent looking for a line if it is a virtual line part of a transformer + if length(phases_for_each_line[line]) == 3 + multiphase_multiplier = sqrt(3) # Use the sqrt(3) factor for three-phase lines + else + # Don't use the sqrt(3) factor for single phase or two phase lines. This assumes that a two-phase system is a 4-wire two phase system where each phase has its own nuetral (instead of a 3-wire two phase system) + multiphase_multiplier = 1 + end + else + multiphase_multiplier = 1 + end + + if line in keys(line_upgrade_options_each_line) + + # Note: line amperage ratings are for each conductor in a multiphase system + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], dvPline[line, phase, t] <= m[:line_max_amps][line] * line_upgrade_options_each_line[line]["voltage_kv"] * multiphase_multiplier) + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], dvPline[line, phase, t] >= -m[:line_max_amps][line] * line_upgrade_options_each_line[line]["voltage_kv"] * multiphase_multiplier) + + elseif line in keys(transformer_busses) + # Note: transformer power ratings are for power going through all phases combined, but for simplicity + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] .<= 100000000 / 1) # TODO: replace the 10000000 with the transformer power rating add maximum transformer power + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] .>= -100000000 / 1) + else + if LineInfo[line]["maximum_power_kw"] == Inf + line_max_power = 1000000000 #LineInfo[line]["maximum_power_kw"] + if Multinode_Inputs.display_information_during_modeling_run + print("\n Line max power for line $(line) is infinite, setting the line_max_power for $(line) to $(line_max_power)") + end + else + line_max_power = LineInfo[line]["maximum_power_kw"] * multiphase_multiplier + end + + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] <= line_max_power) # Defines the maximum real power flow through the line + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] >= -line_max_power) + end + end + else + print("\n Line and phase information, shown if display_information_during_modeling_run is set to true in the inputs dictionary: [") + for line in lines + Multinode_Inputs.display_information_during_modeling_run ? print("The line is: $(line) which has phases: $(phases_for_each_line[line]), ") : nothing + + if line in keys(transformer_busses) + if Multinode_Inputs.display_information_during_modeling_run + print(" this is a line that was derived from a transformer") + end + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] <= 100000000 / 1) # TODO: replace the 10000000 with the transformer power rating add maximum transformer power + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] >= -100000000 / 1) + else + if LineInfo[line]["maximum_power_kw"] == Inf + line_max_power = 1000000000 #LineInfo[line]["maximum_power_kw"] + else + line_max_power = LineInfo[line]["maximum_power_kw"] * multiphase_multiplier + end + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] <= line_max_power) # LineInfo[line]["maximum_power_kw"] * multiphase_multiplier) # Defines the maximum real power flow through the line + @constraint(m, [t in indeces, phase in phases_for_each_line[line]], m[:dvPline][line, phase, t] >= -line_max_power) # LineInfo[line]["maximum_power_kw"] * multiphase_multiplier) + #@constraint(m, m[:dvQline][line, t] <= ) + #@constraint(m, m[:dvQline][line, t] >= 0) + end + end + print("\n]") + end + + counter = 0 + + # Link this simple powerflow model to the REopt nodes + Multinode_Inputs.display_information_during_modeling_run ? print("\n Information about connecting the REopt nodes to the simple powerflow model") : nothing + for t in REoptTimeSteps + if t in time_steps_without_PMD + index = findall(x->x==t, time_steps_without_PMD)[1] + counter = counter + 1 + for node in REopt_nodes # only link the REopt nodes to PMD busses + if string(node) != Multinode_Inputs.substation_node + if counter in [1,2] # print information only for the first two timesteps + Multinode_Inputs.display_information_during_modeling_run ? print("\n Connecting REopt node $(node) to the simple powerflow model") : nothing + end + for phase in phases_for_each_bus[string(node)] + # This constraint assumes that multiphase nodes with loads (or generators) consume (or distribute) power evenly across each phase + @constraint(m, m[:dvP][string(node), phase, index] .== (1/length(phases_for_each_bus[string(node)])) .* ((m[Symbol("TotalExport_"*string(node))][t]) .- (m[Symbol("dvGridPurchase_"*string(node))][t])) ) # To do: double check that these variable names are correct + + if Multinode_Inputs.display_information_during_modeling_run + if t in [1,2] # print out some information for the first couple timesteps + print("\n For node $(node), the phases_for_each_bus are: $(phases_for_each_bus[string(node)]), with a length of $(length(phases_for_each_bus[string(node)]))") + print("\n The index is $(index), and the t i $(t), and the phase is $(phase)") + print("\n (1/length(phases_for_each_bus[string(node)])) is $((1/length(phases_for_each_bus[string(node)])))") + end + end + + end + else + # I don't think this is necessary because the substation node isn't part of REopt nodes + #if counter < 3 + # print("\n ****** Not connecting simple powerflow model to REopt for node $(node), which is the substation node") + #end + end + end + end + end + + if Multinode_Inputs.display_information_during_modeling_run + # Save some text files showing connectivity from the simple powerflow model + open(Multinode_Inputs.folder_location*"/connections_upstream.txt","w") do input + for (key, val) in connections_upstream + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/connections_downstream.txt","w") do input + for (key, val) in connections_downstream + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/connections.txt","w") do input + for (key, val) in connections + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/phases_for_each_line.txt","w") do input + for (key, val) in phases_for_each_line + println(input, "$key => $val" ) + end + end + open(Multinode_Inputs.folder_location*"/phases_for_each_line_and_transformer_line.txt","w") do input + for (key, val) in phases_for_each_line_and_transformer_line + println(input, "$key => $val" ) + end + end + end + print("\n The phases for each bus are: $(phases_for_each_bus)") + print("\n The REopt nodes are: $(REopt_nodes)") + # Conservation of energy for each bus + for bus in collect(keys(connections)) # all_busses # + bus_connections = connections[bus] + + if bus == Multinode_Inputs.substation_node + #print("\n Adding constraint for substation bus $(bus)") + # TODO: does this constraint need to exist? + #@constraint(m, [t in indeces], m[:dvP][bus, t] - sum(m[:dvPline][line, t] for line in connections_downstream[string(bus)]) == 0) + + elseif bus in REopt_nodes # parse(Int, bus) in REopt_nodes # for buses that have an associated REopt node + Multinode_Inputs.display_information_during_modeling_run ? print("\n Adding constraint for REopt bus $(bus):") : nothing + if length(connections_downstream[bus]) > 0 + Multinode_Inputs.display_information_during_modeling_run ? print(" mid-branch") : nothing + # For nodes that have upstream and downstream lines + # This code assumes that the network has been defined correctly such that the phases on the lines are connected correctly to the phases on each bus + for phase in phases_for_each_bus[bus] + + connections_upstream_of_same_phase = [] + for line in connections_upstream[string(bus)] + if phase in phases_for_each_line[line] + push!(connections_upstream_of_same_phase, line) + end + end + + connections_downstream_of_same_phase = [] + for line in connections_downstream[string(bus)] + if phase in phases_for_each_line[line] + push!(connections_downstream_of_same_phase, line) + end + end + + @constraint(m, [t in indeces], m[:dvP][bus, phase, t] + sum(m[:dvPline][line, phase, t] for line in connections_upstream_of_same_phase) - sum(m[:dvPline][line, phase, t] for line in connections_downstream_of_same_phase) == 0) + end + else # This else might not be used because all busses should be in the keys of the connections_downstream + Multinode_Inputs.display_information_during_modeling_run ? print(" at the end of a branch") : nothing + # For nodes that are at the end of branch + # This code assumes that the network has been defined correctly such that the phases on the lines are connected correctly to the phases on each bus + + for phase in phases_for_each_bus[bus] + connections_upstream_of_same_phase = [] + for line in connections_upstream[string(bus)] + if phase in phases_for_each_line[line] + push!(connections_upstream_of_same_phase, line) + end + end + @constraint(m, [t in indeces], m[:dvP][bus, phase, t] + sum(m[:dvPline][line, phase, t] for line in connections_upstream_of_same_phase) == 0) + end + end + + else # for buses in the model without a REopt node + Multinode_Inputs.display_information_during_modeling_run ? print("\n Adding constraint for non-REopt bus $(bus):") : nothing + if length(connections_downstream[bus]) > 0 + Multinode_Inputs.display_information_during_modeling_run ? print(" mid-branch") : nothing + + for phase in phases_for_each_bus[bus] + connections_upstream_of_same_phase = [] + for line in connections_upstream[string(bus)] + if phase in phases_for_each_line[line] + push!(connections_upstream_of_same_phase, line) + end + end + + connections_downstream_of_same_phase = [] + for line in connections_downstream[string(bus)] + if phase in phases_for_each_line[line] + push!(connections_downstream_of_same_phase, line) + end + end + @constraint(m, [t in indeces], sum(m[:dvPline][line, phase, t] for line in connections_upstream_of_same_phase) - sum(m[:dvPline][line, phase, t] for line in connections_downstream_of_same_phase) == 0) + end + else + Multinode_Inputs.display_information_during_modeling_run ? print(" at the end of a branch") : nothing + + for phase in phases_for_each_bus[bus] + connections_upstream_of_same_phase = [] + for line in connections_upstream[string(bus)] + if phase in phases_for_each_line[line] + push!(connections_upstream_of_same_phase, line) + end + end + @constraint(m, [t in indeces], sum(m[:dvPline][line, phase, t] for line in connections_upstream_of_same_phase) == 0) + end + end + end + end + + return connections, connections_upstream, connections_downstream +end + + +function Build_REopt_and_Link_To_PMD(pm, Multinode_Inputs, REopt_inputs_combined, data_math_mn, data_eng; OutageSimulator=false, OutageLength_Timesteps=0, allow_upgrades=false) + + m = pm.model + REopt_nodes = REopt.GenerateREoptNodesList(Multinode_Inputs) + REoptInputs_Combined = REopt_inputs_combined + Multinode_Inputs.display_information_during_modeling_run ? print("\n The REopt nodes are: $(REopt_nodes)") : nothing + print("\n Building the REopt model\n") + REopt.build_reopt!(m, REoptInputs_Combined) # Pass the PMD JuMP model (with the PowerModelsDistribution variables and constraints) as the JuMP model that REopt should build onto + + CreateREoptTotalExportVariables(m, REoptInputs_Combined) + REopt_gen_ind_e, load_phase_dictionary, gen_ind_e_to_REopt_node = LinkREoptAndPMD(pm, m, data_math_mn, Multinode_Inputs, REopt_nodes, REoptInputs_Combined) + LineInfo = CreateLineInfoDictionary(Multinode_Inputs, pm, data_math_mn) + REoptTimeSteps = collect(1:(Multinode_Inputs.time_steps_per_hour * 8760)) + + line_upgrade_options_each_line = "N/A" + + # Only allow for upgrades and add simple power flow constraints if not running the outage simulator + + if allow_upgrades == true + if Multinode_Inputs.model_line_upgrades == true + pm, line_upgrade_options_each_line = model_line_upgrades(pm, Multinode_Inputs, LineInfo, data_eng) + end + + if Multinode_Inputs.model_transformer_upgrades == true + #pm = model_transformer_upgrades(pm, Multinode_Inputs) # TODO: add transformer upgrades + end + end + + if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD && (OutageSimulator == false) + # Don't apply these constraints if the outage simulator is being used because the outage simulator applies PMD constraints to all time steps + connections, connections_upstream, connections_downstream = AddSimplePowerFlowConstraintsToNonPMDTimesteps(Multinode_Inputs, REoptInputs_Combined, pm, m, REoptTimeSteps, LineInfo, REopt_nodes, data_eng) + else + connections = "N/A" + connections_upstream = "N/A" + connections_downstream = "N/A" + end + + ApplyGridImportAndExportConstraints(Multinode_Inputs, REoptInputs_Combined, pm, m, REoptTimeSteps, LineInfo, OutageSimulator, OutageLength_Timesteps, data_eng) + + LinkFacilityMeterNodeToSubstationPower(m, pm, Multinode_Inputs, REoptInputs_Combined, LineInfo, REopt_gen_ind_e, REoptTimeSteps, REopt_nodes, data_math_mn, data_eng) + + if Multinode_Inputs.generators_only_run_during_grid_outage == true + LimitGeneratorOperatingTimes(m, Multinode_Inputs, REoptInputs_Combined) + end + + return LineInfo, data_math_mn, REoptInputs_Combined, pm, load_phase_dictionary, gen_ind_e_to_REopt_node, REopt_gen_ind_e, line_upgrade_options_each_line, connections, connections_upstream, connections_downstream +end + + +function add_objective(pm, Multinode_Inputs, REoptInputs_Combined) + + @expression(pm.model, Costs, sum(pm.model[Symbol(string("Costs_", p.s.site.node))] for p in REoptInputs_Combined) ) + + if Multinode_Inputs.model_line_upgrades + @info "Including the line upgrade costs in the Costs expression" + lines_for_upgrades = create_list_of_upgradable_lines(Multinode_Inputs) + + @variable(pm.model, total_line_upgrade_cost >= 0) + @constraint(pm.model, pm.model[:total_line_upgrade_cost] == sum(pm.model[:line_cost][line] for line in lines_for_upgrades)) + + add_to_expression!(Costs, pm.model[:total_line_upgrade_cost]) + end + + if Multinode_Inputs.allow_bus_voltage_violations + @info "Allowing bus voltage violations" + add_bus_voltage_violation_to_the_model(pm, Multinode_Inputs) + add_to_expression!(Costs, pm.model[:dvBusVoltageViolationCost]) + end + + @objective(pm.model, Min, pm.model[:Costs]) # Define the optimization objective + +end + + +function create_bus_info_dictionary(pm) + # Creates a dictionary with the bus names and corresponding indeces for the :w decision variable (which is the voltage squared decision variable) + BusInfo = Dict([]) + NumberOfBusses = length(PowerModelsDistribution.ref(pm,1,:bus)) + for i in 1:NumberOfBusses + BusData = PowerModelsDistribution.ref(pm, 1, :bus, i) + BusInfo[BusData["name"]] = Dict(["index"=>BusData["index"], "terminals"=>BusData["terminals"], "bus_i"=>BusData["bus_i"], "vbase"=>BusData["vbase"]]) + end + return BusInfo +end + + +function add_bus_voltage_violation_to_the_model(pm, Multinode_Inputs) + model = pm.model + + BusInfo = create_bus_info_dictionary(pm) + + bus_names = collect(keys(BusInfo)) + + PMD_time_steps = collect(1:length(Multinode_Inputs.PMD_time_steps)) + + # Create the voltage violation binary variables + @variable(pm.model, binBusVoltageViolation[bus_names, PMD_time_steps], Bin) + + # Add contraints + for PMD_time_step in PMD_time_steps + for bus_name in bus_names + index = BusInfo[bus_name]["index"] + voltage_squared = [PowerModelsDistribution.var(pm, PMD_time_step, :w, index)[terminal] for terminal in BusInfo[bus_name]["terminals"]] + + if Multinode_Inputs.display_information_during_modeling_run + # print out information to understand the approach in the code: + #print("\n For bus $(bus_name) the terminals are: ") + #print(BusInfo[bus_name]["terminals"]) + #print("\n For bus $(bus_name) the voltage_squared variable is: ") + #print(voltage_squared) + #index_temp = findall(x -> x== BusInfo[bus_name]["terminals"][1], BusInfo[bus_name]["terminals"])[1] + #print("The index in voltage_squared for terminal $(BusInfo[bus_name]["terminals"][1]) is $(index_temp) ") + end + + for terminal in BusInfo[bus_name]["terminals"] + terminal_index = findall(x -> x== terminal, BusInfo[bus_name]["terminals"])[1] + @constraint(model, voltage_squared[terminal_index] <= (Multinode_Inputs.bus_per_unit_voltage_target_upper_bound^2) + model[:binBusVoltageViolation][bus_name, PMD_time_step] * 100) # multiply by 100 to make the possible voltage very large + @constraint(model, voltage_squared[terminal_index] >= (Multinode_Inputs.bus_per_unit_voltage_target_lower_bound^2) * (1 - model[:binBusVoltageViolation][bus_name, PMD_time_step])) # If the binary is one, then the voltage squared can go to zero + end + + end + end + + # Calculate the total cost of the bus voltage violations + @variable(model, dvBusVoltageViolationCost, lower_bound = 0) + + @constraint(model, model[:dvBusVoltageViolationCost] == sum(model[:binBusVoltageViolation][bus_name, PMD_time_step] for bus_name in bus_names, PMD_time_step in PMD_time_steps)) + +end + + +function ApplyGridImportAndExportConstraints(Multinode_Inputs, REoptInputs_Combined, pm, m, REoptTimeSteps, LineInfo, OutageSimulator, OutageLength_Timesteps, data_eng) + # Apply a variety of grid import and/or export constraints: + + # Restrict power flow from the substation if the multinode type is offgrid + if Multinode_Inputs.multinode_type == "Offgrid" + RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, Multinode_Inputs.substation_line, REoptTimeSteps, LineInfo, data_eng; Off_Grid=true) + end + + # Define limits on grid import and export + if Multinode_Inputs.allow_export_beyond_substation == false # Prevent power from being exported to the grid beyond the facility meter: + print("\n Prohibiting power export at the substation") + #RestrictLinePowerFlow(Multinode_Inputs, pm, m, Multinode_Inputs.substation_line, REoptTimeSteps, LineInfo; Prevent_Export=true) # This constraint is handled by other constraints below + elseif Multinode_Inputs.substation_export_limit != "" + print("\n Applying a limit to the power export at the substation") + RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, Multinode_Inputs.substation_line, REoptTimeSteps, LineInfo, data_eng; Substation_Export_Limit = Multinode_Inputs.substation_export_limit) + end + + if Multinode_Inputs.substation_import_limit != "" + print("\n Applying a limit to the power import from the substation") + RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, Multinode_Inputs.substation_line, REoptTimeSteps, LineInfo, data_eng; Substation_Import_Limit = Multinode_Inputs.substation_import_limit) + end + + # Apply a grid outage to the model + if Multinode_Inputs.model_outages_with_outages_vector + if Multinode_Inputs.outages_vector != [] + print("\n Applying a grid outages on the following timesteps: ") + print(Multinode_Inputs.model_outages_with_outages_vector) + RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, Multinode_Inputs.substation_line, Multinode_Inputs.outages_vector, LineInfo, data_eng; Grid_Outage=true, OutageSimulator = OutageSimulator, OutageLength_Timesteps = OutageLength_Timesteps) + end + elseif Multinode_Inputs.single_outage_end_time_step - Multinode_Inputs.single_outage_start_time_step > 0 + print("\n Applying a grid outage from time step $(Multinode_Inputs.single_outage_start_time_step) to $(Multinode_Inputs.single_outage_end_time_step) ") + RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, Multinode_Inputs.substation_line, collect(Multinode_Inputs.single_outage_start_time_step:Multinode_Inputs.single_outage_end_time_step), LineInfo, data_eng; Grid_Outage=true, OutageSimulator = OutageSimulator, OutageLength_Timesteps = OutageLength_Timesteps) + end + + # Open switches if defined by the user + # Note: the switch capability in PMD is not used currently in this model, but the switch openings are modeling with these constraints + if (Multinode_Inputs.switch_open_timesteps != "") && (Multinode_Inputs.model_switches == true) + print("\n Switches are included in the model") + for i in keys(Multinode_Inputs.switch_open_timesteps) + #print("\n Opening the switch on line $(i) from timesteps $(minimum(Multinode_Inputs.switch_open_timesteps[i])) to $(maximum(Multinode_Inputs.switch_open_timesteps[i])) \n") + RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, i, Multinode_Inputs.switch_open_timesteps[i], LineInfo, data_eng; Switches_Open=true) + end + end + +end + + +function LinkFacilityMeterNodeToSubstationPower(m, pm, Multinode_Inputs, REoptInputs_Combined, LineInfo, REopt_gen_ind_e, REoptTimeSteps, REopt_nodes, data_math_mn, data_eng) + # Link export through the substation to the utility tariff on the facility meter node + + PMDTimeSteps_InREoptTimes = Multinode_Inputs.PMD_time_steps + buses = REopt_nodes + + gen_name2ind, load_phase_dictionary, gen_ind_e_to_REopt_node = generate_PMD_information(Multinode_Inputs, REopt_nodes, REoptInputs_Combined, data_math_mn) + + if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + time_steps_without_PMD = setdiff(REoptTimeSteps, Multinode_Inputs.PMD_time_steps) + else + time_steps_without_PMD = 0 + end + + phases_for_each_line = create_dictionary_of_phases_for_each_line(data_eng) + + for p in REoptInputs_Combined + if string(p.s.site.node) == p.s.settings.facilitymeter_node + + Multinode_Inputs.display_information_during_modeling_run ? print("\n The export bins for the facility meter node are: $(p.export_bins_by_tech["PV"]) \n") : nothing + + i = LineInfo[lowercase(Multinode_Inputs.substation_line)]["index"] + # Based off of code in line 470 of PMD's src>core>constraint_template + timestep = 1 # collect the network configuration information from timestep 1, which assumes that the network is not changing (fair to assume with the REopt integration) + branch = PowerModelsDistribution.ref(pm, timestep, :branch, i) + f_bus = branch["f_bus"] + t_bus = branch["t_bus"] + f_connections = branch["f_connections"] + t_connections = branch["t_connections"] + f_idx = (i, f_bus, t_bus) + t_idx = (i, t_bus, f_bus) + + @variable(m, binSubstationPositivePowerFlow[ts in REoptTimeSteps], Bin) + @variable(m, dvSubstationPowerFlow[ts in REoptTimeSteps]) + + for timestep in REoptTimeSteps + + @constraint(m, m[:dvSubstationPowerFlow][timestep] <= m[:binSubstationPositivePowerFlow][timestep] * 1000000 ) + @constraint(m, m[:dvSubstationPowerFlow][timestep] >= (1 - m[:binSubstationPositivePowerFlow][timestep]) * -1000000 ) + + if Multinode_Inputs.allow_export_beyond_substation == true + # Set the power flowing through the line from the substation to be the grid purchase minus the dvProductionToGrid for node 15 + #TODO: make this compatible with three phase power- I believe p_fr[1] only refers to the first phase: might be able to say: p_fr .>= 0 with the period + + if timestep in PMDTimeSteps_InREoptTimes + + PMD_time_step = findall(x -> x==timestep, PMDTimeSteps_InREoptTimes)[1] #use the [1] to convert the 1-element vector into an integer + + p_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :p, f_idx)[c] for c in f_connections] + p_to = [PowerModelsDistribution.var(pm, PMD_time_step, :p, t_idx)[c] for c in t_connections] + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + q_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :q, f_idx)[c] for c in f_connections] + q_to = [PowerModelsDistribution.var(pm, PMD_time_step, :q, t_idx)[c] for c in t_connections] + end + + @constraint(m, m[:dvSubstationPowerFlow][timestep] == sum(p_fr[phase] for phase in f_connections)) + + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + simple_powerflow_timestep = findall(x -> x==timestep, time_steps_without_PMD)[1] + @constraint(m, m[:dvSubstationPowerFlow][timestep] == sum(m[:dvPline][lowercase(Multinode_Inputs.substation_line), phase, simple_powerflow_timestep] for phase in phases_for_each_line[lowercase(Multinode_Inputs.substation_line)])) + + else + # Instead of using the line flow from PMD or the simple powerflow model, consider the total system inflow/outflow to be based on a lumped-element model, which sums all power inflows and outflows for each node + @constraint(m, m[:dvSubstationPowerFlow][timestep] == + (-sum(m[Symbol("TotalExport_"*string(gen_ind_e_to_REopt_node[e]))][timestep] for e in REopt_gen_ind_e) + + sum(m[Symbol("dvGridPurchase_"*string(gen_ind_e_to_REopt_node[e]))][timestep] for e in REopt_gen_ind_e))) + end + + @constraint(m, m[:dvSubstationPowerFlow][timestep] == (sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers) - + sum(m[Symbol("dvProductionToGrid_"*p.s.settings.facilitymeter_node)]["PV", u, timestep] for u in p.export_bins_by_tech["PV"]))) + + @constraint(m, sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers) <= Multinode_Inputs.substation_import_limit * m[:binSubstationPositivePowerFlow][timestep]) + + @constraint(m, sum(m[Symbol("dvProductionToGrid_"*p.s.settings.facilitymeter_node)]["PV", u, timestep] for u in p.export_bins_by_tech["PV"]) <= Multinode_Inputs.substation_export_limit * (1 - m[:binSubstationPositivePowerFlow][timestep])) + + @constraint(m, sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers) >= 0) + + @constraint(m, sum(m[Symbol("dvProductionToGrid_"*p.s.settings.facilitymeter_node)]["PV", u, timestep] for u in p.export_bins_by_tech["PV"]) >= 0) + + else + @constraint(m, sum(m[Symbol("dvProductionToGrid_"*p.s.settings.facilitymeter_node)]["PV", u, timestep] for u in p.export_bins_by_tech["PV"]) == 0) + + if timestep in PMDTimeSteps_InREoptTimes + PMD_time_step = findall(x -> x==timestep, PMDTimeSteps_InREoptTimes)[1] #use the [1] to convert the 1-element vector into an integer + + p_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :p, f_idx)[c] for c in f_connections] + p_to = [PowerModelsDistribution.var(pm, PMD_time_step, :p, t_idx)[c] for c in t_connections] + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + q_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :q, f_idx)[c] for c in f_connections] + q_to = [PowerModelsDistribution.var(pm, PMD_time_step, :q, t_idx)[c] for c in t_connections] + end + + @constraint(m, sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers) == sum(p_fr[phase] for phase in f_connections)) + + @constraint(m, m[:dvSubstationPowerFlow][timestep] == sum(p_fr[phase] for phase in f_connections)) + @constraint(m, m[:dvSubstationPowerFlow][timestep] >= 0) + + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + simple_powerflow_timestep = findall(x -> x==timestep, time_steps_without_PMD)[1] + + @constraint(m, sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers) == sum(m[:dvPline][lowercase(Multinode_Inputs.substation_line), phase, simple_powerflow_timestep] for phase in phases_for_each_line[lowercase(Multinode_Inputs.substation_line)])) + + @constraint(m, m[:dvSubstationPowerFlow][timestep] == m[:dvPline][lowercase(Multinode_Inputs.substation_line), simple_powerflow_timestep]) + @constraint(m, m[:dvSubstationPowerFlow][timestep] >= 0) + + else + # Instead of using the line flow from PMD or simple powerflow model, consider the total system inflow/outflow to be based on a lumped-element model, which sums all power inflows and outflows for each node + @constraint(m, + (sum(m[Symbol("TotalExport_"*string(buses[e]))][timestep] for e in REopt_gen_ind_e) - + sum(m[Symbol("dvGridPurchase_"*string(buses[e]))][timestep] for e in REopt_gen_ind_e)) == + (sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers))) + + @constraint(m, m[:dvSubstationPowerFlow][timestep] == (sum(m[Symbol("dvGridPurchase_"*p.s.settings.facilitymeter_node)][timestep, tier] for tier in 1:p.s.electric_tariff.n_energy_tiers))) + @constraint(m, m[:dvSubstationPowerFlow][timestep] >= 0) + + end + end + end + end + end +end + + +function LimitGeneratorOperatingTimes(m, Multinode_Inputs, REoptInputs_Combined) + # Prevent the generators from generating power during times that aren't a grid outage + NonOutageTimeSteps = [] + + if Multinode_Inputs.model_outages_with_outages_vector == false + NonOutageTimeSteps = vcat(collect(1:Multinode_Inputs.single_outage_start_time_step), collect(Multinode_Inputs.single_outage_end_time_step:(8760*Multinode_Inputs.time_steps_per_hour))) + elseif Multinode_Inputs.model_outages_with_outages_vector == true + for i in 1:(8760*Multinode_Inputs.time_steps_per_hour) + if !(i in Multinode_Inputs.outages_vector) + push!(NonOutageTimeSteps, i) + end + end + end + + for p in REoptInputs_Combined + _n = "_"*string(p.s.site.node) + if "Generator" in p.techs.elec + for ts in NonOutageTimeSteps + fix(m[Symbol("dvRatedProduction"*_n)]["Generator", ts], 0.0, force=true) + end + end + end +end + + +function CreateLineInfoDictionary(Multinode_Inputs, pm, data_math_mn) + # Creates a dictionary with the line names and corresponding indeces for the :p decision variable + LineInfo = Dict([]) + NumberOfBranches = length(PowerModelsDistribution.ref(pm,1,:branch)) + + if length(collect(values(data_math_mn["nw"]["1"]["settings"]["vbases_default"]))) != 1 + throw(@error("The length of vbases_default is not 1")) + end + + vbases_default = collect(values(data_math_mn["nw"]["1"]["settings"]["vbases_default"]))[1] + + for i in 1:NumberOfBranches + LineData = PowerModelsDistribution.ref(pm, 1, :branch, i) + + branch_vbase = LineData["vbase"] + line_voltage = round(Multinode_Inputs.base_voltage_kv * (LineData["vbase"]/vbases_default), digits=3) + maximum_power = round((LineData["c_rating_a"][1]/branch_vbase) * line_voltage, digits=3) + + c_rating_a = LineData["c_rating_a"][1] + line_name = LineData["name"] + if Multinode_Inputs.display_information_during_modeling_run + print("\n For line $(line_name), the data is max power: $(maximum_power), line voltage: $(line_voltage), c_rating_a: $(c_rating_a), branch_vbase: $(branch_vbase)") + end + + LineInfo[LineData["name"]] = Dict(["index"=>LineData["index"], + "t_bus"=>LineData["t_bus"], + "f_bus"=>LineData["f_bus"], + "c_rating_a"=>LineData["c_rating_a"], + "vbase"=>LineData["vbase"], + "line_voltage_kv"=>line_voltage, + "maximum_power_kw"=>maximum_power + ]) + end + return LineInfo +end + + +function Run_REopt_PMD_Model(pm, Multinode_Inputs, timestamp="") + # This function runs the optimization + + m = pm.model + + set_optimizer(m, Multinode_Inputs.optimizer) + + if string(Multinode_Inputs.optimizer) == "Xpress.Optimizer" + @info "Setting attributes for the Xpress solver" + set_optimizer_attribute(m, "MIPRELSTOP", Multinode_Inputs.optimizer_tolerance) + set_optimizer_attribute(m, "OUTPUTLOG", Multinode_Inputs.log_solver_output_to_console ? 1 : 0) + + # Save the Xpress log into the per-run timestamped folder created by CreateOutputsFolder. + # Use mkpath (idempotent) so this works even when generate_CSV_of_outputs/generate_results_plots + # are false (in which case CreateOutputsFolder did not create the folder) and on repeated + # solves within the same run (e.g. BAU case). + log_folder = isempty(timestamp) ? Multinode_Inputs.folder_location : + joinpath(Multinode_Inputs.folder_location, "results_"*timestamp) + mkpath(log_folder) + # Distinguish BAU vs main run logs within the same timestamped folder + log_filename = isfile(joinpath(log_folder, "xpress_log.txt")) ? "xpress_log_BAU.txt" : "xpress_log.txt" + xpress_log_path = joinpath(log_folder, log_filename) + + # Xpress.jl does NOT expose "LOGFILE" as a MOI RawOptimizerAttribute, so set_optimizer_attribute + # will throw MOI.UnsupportedAttribute. The log file has to be set via the Xpress C API on the + # inner problem handle (Xpress.setlogfile). We force JuMP to instantiate the backend optimizer + # first (so .inner exists), then call Xpress.setlogfile. If anything goes wrong, fall back + # quietly to console-only logging. + log_file_set = false + try + JuMP.MOI.Utilities.attach_optimizer(m) + xpress_opt = JuMP.unsafe_backend(m) + Xpress = Base.require(Main, :Xpress) + Xpress.setlogfile(xpress_opt.inner, xpress_log_path) + log_file_set = true + catch err + @warn "Could not configure Xpress LOGFILE via the C API; the log will only appear in the console if log_solver_output_to_console=true. Error: $(err)" + end + if log_file_set + @info "Xpress log will be written to $(xpress_log_path)" + end + + if Multinode_Inputs.run_Xpress_model_presolve == false + print("\n Removing the presolve step because Multinode_Inputs.run_Xpress_model_presolve was set to false") + set_optimizer_attribute(m, "PRESOLVE", 0) + end + + elseif string(Multinode_Inputs.optimizer) == "Gurobi.Optimizer" + @info "Setting attributes for the Gurobi solver" + set_optimizer_attribute(m, "MIPGap", Multinode_Inputs.optimizer_tolerance) + set_optimizer_attribute(m, "OutputFlag", Multinode_Inputs.log_solver_output_to_console ? 1 : 0) + set_optimizer_attribute(m, "LogToConsole", Multinode_Inputs.log_solver_output_to_console ? 1 : 0) + elseif string(Multinode_Inputs.optimizer) == "HiGHS.Optimizer" + @info "Setting attributes for the HiGHS solver" + set_optimizer_attribute(m, "mip_rel_gap", Multinode_Inputs.optimizer_tolerance) + set_optimizer_attribute(m, "output_flag", Multinode_Inputs.log_solver_output_to_console) + set_optimizer_attribute(m, "log_to_console", Multinode_Inputs.log_solver_output_to_console) + else + @info "The solver's default tolerance and log settings are being used for the optimization" + end + + print("\n The optimization is starting") + print("\n The number of variables in the model is: ") + print(length(all_variables(pm.model))) + print("\n") + # Note: the "optimize_model!" function is a wrapper from PMD and it includes some organization of the results + results = PowerModelsDistribution.optimize_model!(pm) # Option other fields: relax_intregrality=true, optimizer=HiGHS.Optimizer) # The default in PMD for relax_integrality is false + print("\n The optimization is complete\n") + + TerminationStatus = string(results["termination_status"]) + if TerminationStatus != "OPTIMAL" + if Multinode_Inputs.run_IIS_on_nonoptimal_models + model = pm.model + + solver_name_str = "" + try + solver_name_str = lowercase(JuMP.solver_name(model)) + catch + solver_name_str = lowercase(string(Multinode_Inputs.optimizer)) + end + iis_supported = occursin("xpress", solver_name_str) || occursin("gurobi", solver_name_str) || occursin("cplex", solver_name_str) + + infeasible_statuses = ("INFEASIBLE", "LOCALLY_INFEASIBLE", "INFEASIBLE_OR_UNBOUNDED") + + if !(TerminationStatus in infeasible_statuses) + println("Termination status is $(TerminationStatus); skipping IIS computation (IIS is only meaningful for infeasible models).") + elseif !iis_supported + println("Skipping IIS computation: the active solver ($(solver_name_str)) does not support MOI.compute_conflict!. Supported solvers include Xpress, Gurobi, and CPLEX.") + else + println("Computing IIS via $(solver_name_str) (this may take a while)...") + conflict_computed = true + try + MOI.compute_conflict!(JuMP.backend(model)) + catch err + println("compute_conflict! failed: ", err) + conflict_computed = false + end + + if conflict_computed + conflict_status = MOI.get(JuMP.backend(model), MOI.ConflictStatus()) + println("Conflict status: ", conflict_status) + + if conflict_status == MOI.CONFLICT_FOUND + iis_folder = isempty(timestamp) ? Multinode_Inputs.folder_location : + joinpath(Multinode_Inputs.folder_location, "results_"*timestamp) + mkpath(iis_folder) + iis_filename = isfile(joinpath(iis_folder, "iis_conflict.txt")) ? "iis_conflict_BAU.txt" : "iis_conflict.txt" + iis_path = joinpath(iis_folder, iis_filename) + open(iis_path, "w") do io + # The typed all_constraints(model, F, S) overload already returns variable-in-set + # constraints (e.g. fix(...) or lower/upper bounds) when F is VariableRef, so no + # kwarg is needed here. The include_variable_in_set_constraints kwarg only applies + # to the untyped all_constraints(model) overload and will throw if passed here. + for (F, S) in JuMP.list_of_constraint_types(model) + for c in JuMP.all_constraints(model, F, S) + st = MOI.get(model, MOI.ConstraintConflictStatus(), c) + if st == MOI.IN_CONFLICT + nm = JuMP.name(c) + label = isempty(nm) ? "" : nm + # Also write the constraint object so unnamed constraints remain interpretable + println(io, label, " :: ", c) + end + end + end + end + println("IIS written to $(iis_path)") + else + println("The solver did not return a conflict set.") + end + end + end + end + + @warn("The termination status of the optimization was "*string(results["termination_status"])*". Returning the failed model without further processing.") + end + + return results, TerminationStatus; +end + + +function RestrictLinePowerFlow(Multinode_Inputs, REoptInputs_Combined, pm, m, line, REoptTimeSteps, LineInfo, data_eng; Grid_Outage=false, Off_Grid=false, Switches_Open=false, Prevent_Export=false, Substation_Export_Limit=1E10, Substation_Import_Limit=1E10, OutageSimulator = false, OutageLength_Timesteps = 0) + # Function used for restricting power flow for grid outages, times when switches are opened, and substation import and export limits + + line = lowercase(line) + + # Save the REopt Inputs for the site not to a variable + FacilityMeterNode_REoptInputs = "" + for p in REoptInputs_Combined + if string(p.s.site.node) == p.s.settings.facilitymeter_node + FacilityMeterNode_REoptInputs = p + end + end + + # Save to a variable the timesteps that the power models distribution model is applied to + if OutageSimulator == false + PMDTimeSteps_InREoptTimes = Multinode_Inputs.PMD_time_steps + PMDTimeSteps_Indeces = collect(1:length(PMDTimeSteps_InREoptTimes)) + elseif OutageSimulator == true + PMDTimeSteps_InREoptTimes = collect(1:OutageLength_Timesteps) + PMDTimeSteps_Indeces = collect(1:OutageLength_Timesteps) + end + + if Multinode_Inputs.display_information_during_modeling_run + open(Multinode_Inputs.folder_location*"/LineInfo.txt","w") do input + for (key, val) in LineInfo + println(input, "$key => $val" ) + end + end + end + + i = LineInfo[line]["index"] + # Based off of code in line 470 of PMD's src>core>constraint_template + timestep = 1 # collect the network configuration information from timestep 1, which assumes that the network is not changing (fair to assume with the REopt integration) + branch = PowerModelsDistribution.ref(pm, timestep, :branch, i) + f_bus = branch["f_bus"] + t_bus = branch["t_bus"] + f_connections = branch["f_connections"] + t_connections = branch["t_connections"] + f_idx = (i, f_bus, t_bus) + t_idx = (i, t_bus, f_bus) + + phases_for_each_line = create_dictionary_of_phases_for_each_line(data_eng) + + if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + time_steps_without_PMD = setdiff(REoptTimeSteps, Multinode_Inputs.PMD_time_steps) + else + time_steps_without_PMD = 0 + end + + for timestep in REoptTimeSteps + + if timestep in PMDTimeSteps_InREoptTimes + # Based off of code in line 274 of PMD's src>core>constraints + PMD_time_step = findall(x -> x==timestep, PMDTimeSteps_InREoptTimes)[1] #use the [1] to convert the 1-element vector into an integer + + p_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :p, f_idx)[c] for c in f_connections] + p_to = [PowerModelsDistribution.var(pm, PMD_time_step, :p, t_idx)[c] for c in t_connections] + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + q_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :q, f_idx)[c] for c in f_connections] + q_to = [PowerModelsDistribution.var(pm, PMD_time_step, :q, t_idx)[c] for c in t_connections] + end + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + # redefine the timestep variable to be correlated with the timestep variable in the simple powerflow model + timestep_for_simple_powerflow_model = findall(x -> x==timestep, time_steps_without_PMD)[1] + end + + if Prevent_Export == true + # If the timesteps are part of the PMD model, then apply the constraints to the lines in PMD + if timestep in PMDTimeSteps_InREoptTimes + JuMP.@constraint(m, [phase in f_connections], p_fr[phase] .>= 0) + JuMP.@constraint(m, [phase in f_connections], q_fr[phase] .>= -Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) # no restrictions on reactive power + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + for phase in phases_for_each_line[line] + @constraint(m, m[:dvPline][lowercase(Multinode_Inputs.substation_line), phase, timestep_for_simple_powerflow_model] .>= 0) + end + else + @constraint(m, sum(m[Symbol("dvProductionToGrid_"*Multinode_Inputs.facilitymeter_node)]["PV", u, timestep] for u in FacilityMeterNode_REoptInputs.export_bins_by_tech["PV"]) == 0) + end + end + + if Substation_Export_Limit != "" + if timestep in PMDTimeSteps_InREoptTimes + JuMP.@constraint(m, [phase in f_connections], p_fr[phase] .>= -Substation_Export_Limit) + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + JuMP.@constraint(m, [phase in f_connections], q_fr[phase] .>= -Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) + end + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + for phase in phases_for_each_line[line] + @constraint(m, m[:dvPline][lowercase(Multinode_Inputs.substation_line), phase, timestep_for_simple_powerflow_model] .>= (1/length(phases_for_each_line[line])) * -Substation_Export_Limit) # Assume that the maximum export limit is evenly divided by each of the phases + end + else + @constraint(m, sum(m[Symbol("dvProductionToGrid_"*Multinode_Inputs.facilitymeter_node)]["PV", u, timestep] for u in FacilityMeterNode_REoptInputs.export_bins_by_tech["PV"]) <= Substation_Export_Limit) + end + end + + if Substation_Import_Limit != "" + if timestep in PMDTimeSteps_InREoptTimes + JuMP.@constraint(m, [phase in f_connections], p_fr[phase] .<= Substation_Import_Limit) + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + JuMP.@constraint(m, [phase in f_connections], q_fr[phase] .<= Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) + end + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + for phase in phases_for_each_line[line] + @constraint(m, sum(m[:dvPline][lowercase(Multinode_Inputs.substation_line), phase, timestep_for_simple_powerflow_model]) .<= (1/length(phases_for_each_line[line])) * Substation_Import_Limit) # Assume that the maximum import limit is evenly divided by each of the phases + end + else + @constraint(m, sum(m[Symbol("dvGridPurchase_"*Multinode_Inputs.facilitymeter_node)][timestep, tier] for tier in 1:FacilityMeterNode_REoptInputs.s.electric_tariff.n_energy_tiers) <= Substation_Import_Limit) + end + end + + if Off_Grid == true || Grid_Outage == true || Switches_Open==true + # Restrict all power flow + if timestep in PMDTimeSteps_InREoptTimes + JuMP.@constraint(m, [phase in f_connections], p_fr[phase] .== 0) # The _fr and _to variables are just indicating power flow in either direction on the line. In PMD, there is a constraint that requires p_to = -p_fr + JuMP.@constraint(m, [phase in t_connections], p_to[phase] .== 0) # TODO test removing the "fr" constraints here in order to reduce the # of constraints in the model + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + if Multinode_Inputs.number_of_phases == 1 + JuMP.@constraint(m, [phase in f_connections], q_fr[phase] .== 0.0) + JuMP.@constraint(m, [phase in t_connections], q_to[phase] .== 0.0) + else + # Add small amount of reactive power support for multi-phase systems + JuMP.@constraint(m, [phase in f_connections], -Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar .<= q_fr[phase] .<= Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) + JuMP.@constraint(m, [phase in t_connections], -Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar .<= q_to[phase] .<= Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) # no restrictions on reactive power + end + end + elseif Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + for phase in phases_for_each_line[line] + @constraint(m, m[:dvPline][line, phase, timestep_for_simple_powerflow_model] .== 0) + end + elseif Switches_Open==false + @constraint(m, sum(m[Symbol("dvGridPurchase_"*Multinode_Inputs.facilitymeter_node)][timestep, tier] for tier in 1:FacilityMeterNode_REoptInputs.s.electric_tariff.n_energy_tiers) == 0) + @constraint(m, sum(m[Symbol("dvProductionToGrid_"*Multinode_Inputs.facilitymeter_node)]["PV", u, timestep] for u in FacilityMeterNode_REoptInputs.export_bins_by_tech["PV"]) == 0) + else Switches_Open==true # Note: the first elseif statement covers the situation where switches_open == true and the simple powerflow model is being used + @warn "The switches were defined as open during a time period when the PMD model and simple powerflow model are not applied" + end + end + end +end + + +function GenerateREoptNodesList(Multinode_Inputs) + REopt_nodes = [] + for i in Multinode_Inputs.REopt_inputs_list + if string(i["Site"]["node"]) != Multinode_Inputs.facilitymeter_node + push!(REopt_nodes, i["Site"]["node"]) + end + end + return REopt_nodes +end + + +# Function to check for errors in the data inputs for the model +function RunDataChecks(Multinode_Inputs, REopt_dictionary) + + ps = REopt_dictionary + + for p in ps + node_temp = p.s.site.node + + for phase in p.s.settings.phase_numbers + if !(phase in [1,2,3]) + throw(@error("Phase $(phase) for node $(node_temp) is invalid")) + end + if length(findall(x -> x==phase, p.s.settings.phase_numbers)) > 1 + throw(@error("Phase $(phase) can't be listed more than once for node $(node_temp)")) + end + end + + if p.s.settings.facilitymeter_node != Multinode_Inputs.facilitymeter_node + throw(@error("The facilitymeter_node input for each REopt node must equal the facilitymeter_node defined in the multinode settings, which is $(Multinode_Inputs.facilitymeter_node)")) + end + + if p.s.settings.time_steps_per_hour != Multinode_Inputs.time_steps_per_hour + throw(@error("The time steps per hour for each REopt node must match the time steps per hour defined in the multinode settings dictionary")) + end + + possible_critical_load_method_entries = ["Fraction", "TimeSeries", "N/A"] + if !(Multinode_Inputs.critical_load_method in possible_critical_load_method_entries) + throw(@error("The input for critical_load_method is not valid")) + end + + # Checking that critical loads are defined, if running a resilience model and/or the outage simulator + if Multinode_Inputs.run_outage_simulator || Multinode_Inputs.model_outages_with_outages_vector || Multinode_Inputs.model_outages_with_outages_vector || ((Multinode_Inputs.single_outage_end_time_step - Multinode_Inputs.single_outage_start_time_step) > 0 ) + + if Multinode_Inputs.critical_load_method == "Fraction" + if string(p.s.site.node) āˆ‰ keys(Multinode_Inputs.critical_load_fraction) + if sum(p.s.electric_load.loads_kw) > 0 + throw(@error("The REopt node $(node_temp) does not have an assigned critical load fraction in the critical_load_fraction input dictionary")) + end + end + end + + if Multinode_Inputs.critical_load_method == "TimeSeries" + if string(p.s.site.node) āˆ‰ keys(Multinode_Inputs.critical_load_timeseries) + if sum(p.s.electric_load.loads_kw) > 0 + throw(@error("The REopt node $(node_temp) does not have an assigned critical load timeseries profile in the critical_load_timeseries input dictionary")) + end + end + end + + end + # TODO: add data check to ensure that if a critical load method is defined, then there must be either a critical load fraction or a critical load timeseries dictionary + + if Int(length(p.s.electric_load.loads_kw)) != Int(8760 * Multinode_Inputs.time_steps_per_hour) + throw(@error("At REopt node $(node_temp), the length of the electric loads vector does not correlate with the time steps per hour defined in the Multinode_Inputs dictionary")) + end + end + + if Multinode_Inputs.base_voltage_kv <= 0 + throw(@error("the base_voltage_kv must be greater than zero. The default value of the base_voltage_kv is zero to ensure that the user defines the correct base voltage. The base voltage entered for base_voltage_kv should be the base voltage defined at the top of the .dss inputs file.")) + end + + if Multinode_Inputs.number_of_phases āˆ‰ [1,2,3] + throw(@error("The number_of_phases input must be 1, 2, or 3")) + end + + if Multinode_Inputs.multinode_type āˆ‰ ["CommunityDistrict", "BehindTheMeter", "OffGrid"] + throw(@error("An invalid multinode type was provided in the inputs")) + end + + if (Multinode_Inputs.multinode_type == "Offgrid") && (Multinode_Inputs.run_BAU_case == true) + throw(@error("The BAU case cannot be run for an off-grid model because an off-grid model cannot solve without on-site generation.")) + end + + if Multinode_Inputs.multinode_type != "CommunityDistrict" + @warn("For the community district multinode type, the electricity tariff for the facility meter node should be 0") + end + + if Multinode_Inputs.critical_load_method == "Fraction" + for x in values(Multinode_Inputs.critical_load_fraction) + if x >= 5.0 + throw(@error("The critical_load_fraction load fraction should be entered as a fraction, not a percent. The model currently limits the critical_load_fraction to 5.0 (or 500%) to reduce the possibility of user error. ")) + end + end + end + + if Multinode_Inputs.single_outage_start_time_step > Multinode_Inputs.single_outage_end_time_step + throw(@error("In the Multinode_Inputs dictionary, the single outage start time must be a smaller value than the single outage stop time")) + end + + if Multinode_Inputs.single_outage_end_time_step > (8760 * Multinode_Inputs.time_steps_per_hour) + TotalNumberOfTimeSteps = Int(8760 * Multinode_Inputs.time_steps_per_hour) + throw(@error("In the Multinode_Inputs dictionary, the defined outage stop time must be less than the total number of time steps, which is $(TotalNumberOfTimeSteps)")) + end + + #if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD && (Multinode_Inputs.number_of_phases > 1) + #throw(@error("The simple powerflow model is currently not compatible with multiphase systems. Please set apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD to false to run the model only with PowerModelsDistribution.")) + #end + + if Multinode_Inputs.substation_export_limit < 0 + throw(@error("The substation_export_limit input cannot be negative.")) + end + + if Multinode_Inputs.substation_import_limit < 0 + throw(@error("The substation_import_limit input cannot be negative.")) + end + + if (Multinode_Inputs.allow_dropped_load) && (Multinode_Inputs.number_of_phases != 1) + throw(@error("When modeling a three-phase system, allowing dropped load in the outage simulator is not allowed. Please set the allowed_dropped_load input to false.")) + end + + # Currently the simple powerflow model does not work with outages and multiphase systems, so an error is caused if the user runs a multi-phase model where the outages do not occur during PMD timesteps + if Multinode_Inputs.number_of_phases != 1 + if Multinode_Inputs.single_outage_end_time_step - Multinode_Inputs.single_outage_start_time_step > 0 + for timestep in collect(Multinode_Inputs.single_outage_start_time_step:Multinode_Inputs.single_outage_end_time_step) + if !(timestep in Multinode_Inputs.PMD_time_steps) + throw(@error("For multi-phase systems, the outages in the optimization must be modeled during timesteps that are modeled using PMD")) + end + end + end + if Multinode_Inputs.model_outages_with_outages_vector == true + for timestep in Multinode_Inputs.outages_vector + if !(timestep in Multinode_Inputs.PMD_time_steps) + throw(@error("For multi-phase systems, all outages must be modeled during times steps modeled with PowerModelsDistribution (PMD).")) + end + end + end + end + + # Check for internal loops + data_eng = PowerModelsDistribution.parse_file(Multinode_Inputs.PMD_network_input, transformations=[PowerModelsDistribution.remove_all_bounds!]) + has_loops, loop_edges = REopt.detect_network_loops(data_eng) + has_islands, islanded_buses, island_groups = REopt.detect_islanded_buses(data_eng, Multinode_Inputs.substation_node) + + if has_loops + @warn("The distribution system has the following loops: $(loop_edges)") + end + if has_islands + @warn("The following islands are present in the distribution system: $(island_groups)") + end + +end + + +# Function to check for commons issues in the model if the model fails to optimize +function run_diagnostics(model, Multinode_Inputs, REopt_dictionary) + + diagnostic_report = Dict([]) + + # Evaluation 1: Check for single variable contradictions + # AI was used to generate the evaluation 1 code + bad = [] + for v in all_variables(model) + lb = has_lower_bound(v) ? lower_bound(v) : -Inf + ub = has_upper_bound(v) ? upper_bound(v) : Inf + fx = is_fixed(v) ? fix_value(v) : nothing + if lb > ub + 1e-9 + push!(bad, (v, lb, ub, fx, :lb_gt_ub)) + elseif fx !== nothing && (fx < lb - 1e-9 || fx > ub + 1e-9) + push!(bad, (v, lb, ub, fx, :fix_outside_bounds)) + end + end + length(bad), first(bad, 20) + + diagnostic_report["single_variable_contradictions"] = bad + + return diagnostic_report +end diff --git a/src/multinode/multinode_inputs.jl b/src/multinode/multinode_inputs.jl new file mode 100644 index 000000000..46e30d203 --- /dev/null +++ b/src/multinode/multinode_inputs.jl @@ -0,0 +1,311 @@ +# REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. + +""" +`multinode` is an optional input with the following keys and default values: + + folder_location::String="", + bus_coordinates::String="", # Location of the csv document with the bus coordinates + PMD_network_input::Any, + multinode_type::String="BehindTheMeter", # Options: "BehindTheMeter", "CommunityDistrict", or "Offgrid" + model_type::String="PowerModelsDistribution", #Options: "PowerModelsDistribution", + model_subtype::String="LPUBFDiagPowerModel", # Options: "LPUBFDiagPowerModel", "ACPUPowerModel" + run_BAU_case::Bool=true, + optimizer::Any, # Such as HiGHS.Optimizer + optimizer_tolerance::Float64=0.001, # Only works for Xpress, HiGHS, and Gurobi + log_solver_output_to_console::Bool=true, # Log the output from the solver to the console + PMD_time_steps::Any=[1:24], # By default, apply the PMD model to the first 24 timesteps of the model + apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD::Bool=true, + REopt_inputs_list::Array=[], + + number_of_phases::Real=1, + bus_phase_voltage_lower_bound_per_unit::Float64=0.95, + bus_phase_voltage_upper_bound_per_unit::Float64=1.05, + bus_neutral_voltage_upper_bound_per_unit::Float64=0.1, + facilitymeter_node::String="", + substation_node::String="", + substation_line::String="", + allow_export_beyond_substation::Bool=false, + substation_export_limit::Real=0, + substation_import_limit::Real=0, + base_voltage_kv::Real=0, # This must be redefined based on the base voltage defined in the dss inputs file in units of kV + external_reactive_power_support_per_phase_maximum_kvar::Real=1000000, # Because multi-node does not model reactive power, but reactive power may be needed for the power systems modeling, this value enables reactive power to flow from the substation to all parts of the network, regardless of if there is a grid outage or a switch is open + + model_switches::Bool=false, + model_line_upgrades::Bool=false, + line_upgrade_options::Dict=Dict(), + model_transformer_upgrades::Bool=false, + transformer_upgrade_options::Dict=Dict(), + switch_open_timesteps::Dict=Dict(), + + single_outage_start_time_step::Real=0, + single_outage_end_time_step::Real=0, + model_outages_with_outages_vector::Bool=false, + outages_vector::Array=[], + run_outage_simulator::Bool=false, + allow_dropped_load::Bool=false, + outage_simulator_generator_gallons_per_kwh::Real=0.02457, + length_of_simulated_outages_time_steps::Array=[], + critical_load_method::String="Fraction", + critical_load_fraction::Real=0.0, + critical_load_timeseries::Array=[], + number_of_outages_to_simulate::Real=0, + + time_steps_per_hour::Real=0, + generator_fuel_gallon_available::Dict=Dict(), + generators_only_run_during_grid_outage::Bool=false, + generate_CSV_of_outputs::Bool=false, + generate_dictionary_for_plotting::Bool=false, + number_of_plots_from_outage_simulator::Real=0, + + generate_same_pv_production_profile_for_each_node::Bool=false, + pv_inputs_for_standardized_pv_production_profile::Dict=Dict(), + + display_information_during_modeling_run::Bool=false, # This can be helpful for debugging a model + include_additional_outputs_into_the_combined_results_dictionary::Bool=false, + + fault_analysis::Dict=Dict(), + allow_bus_voltage_violations::Bool=false, + bus_per_unit_voltage_target_upper_bound::Real=1.05, + bus_per_unit_voltage_target_lower_bound::Real=0.95, + cost_per_voltage_violation_per_timestep::Real=1000, + allow_dropped_load_in_main_optimization::Bool=false, + cost_per_kwh_dropped_load::Real=100, + run_Xpress_model_presolve::Bool=true, + run_IIS_on_nonoptimal_models::Bool=false + +""" + +mutable struct MultinodeInputs <: AbstractMultinode + folder_location + bus_coordinates + PMD_network_input + multinode_type + model_type + model_subtype + run_BAU_case + optimizer + optimizer_tolerance + log_solver_output_to_console + PMD_time_steps + apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + REopt_inputs_list + number_of_phases + bus_phase_voltage_lower_bound_per_unit + bus_phase_voltage_upper_bound_per_unit + bus_neutral_voltage_upper_bound_per_unit + facilitymeter_node + substation_node + substation_line + allow_export_beyond_substation + substation_export_limit + substation_import_limit + base_voltage_kv + external_reactive_power_support_per_phase_maximum_kvar + model_switches + model_line_upgrades + line_upgrade_options + model_transformer_upgrades + transformer_upgrade_options + switch_open_timesteps + single_outage_start_time_step + single_outage_end_time_step + model_outages_with_outages_vector + outages_vector + run_outage_simulator + allow_dropped_load + outage_simulator_generator_gallons_per_kwh + length_of_simulated_outages_time_steps + critical_load_method + critical_load_fraction + critical_load_timeseries + number_of_outages_to_simulate + time_steps_per_hour + generator_fuel_gallon_available + generators_only_run_during_grid_outage + generate_CSV_of_outputs + generate_dictionary_for_plotting + number_of_plots_from_outage_simulator + generate_same_pv_production_profile_for_each_node + pv_inputs_for_standardized_pv_production_profile + display_information_during_modeling_run + include_additional_outputs_into_the_combined_results_dictionary + fault_analysis + allow_bus_voltage_violations + bus_per_unit_voltage_target_upper_bound + bus_per_unit_voltage_target_lower_bound + cost_per_voltage_violation_per_timestep + allow_dropped_load_in_main_optimization + cost_per_kwh_dropped_load + run_Xpress_model_presolve + run_IIS_on_nonoptimal_models + load_profiles_for_outage_sim_if_using_the_fraction_method + + function MultinodeInputs(; + folder_location::String="", + bus_coordinates::String="", + PMD_network_input::Any, + multinode_type::String="BehindTheMeter", + model_type::String="PowerModelsDistribution", + model_subtype::String="LPUBFDiagPowerModel", + run_BAU_case::Bool=true, + optimizer::Any, + optimizer_tolerance::Float64=0.001, + log_solver_output_to_console::Bool=true, + PMD_time_steps::Any=[1:24], + apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD::Bool=true, + REopt_inputs_list::Array=[], + number_of_phases::Real=1, + bus_phase_voltage_lower_bound_per_unit::Float64=0.95, + bus_phase_voltage_upper_bound_per_unit::Float64=1.05, + bus_neutral_voltage_upper_bound_per_unit::Float64=0.1, + facilitymeter_node::String="", + substation_node::String="", + substation_line::String="", + allow_export_beyond_substation::Bool=false, + substation_export_limit::Real=0, + substation_import_limit::Real=0, + base_voltage_kv::Real=0, + external_reactive_power_support_per_phase_maximum_kvar::Real=1000000, + model_switches::Bool=false, + model_line_upgrades::Bool=false, + line_upgrade_options::Dict=Dict(), + model_transformer_upgrades::Bool=false, + transformer_upgrade_options::Dict=Dict(), + switch_open_timesteps::Dict=Dict(), + single_outage_start_time_step::Real=0, + single_outage_end_time_step::Real=0, + model_outages_with_outages_vector::Bool=false, + outages_vector::Array=[], + run_outage_simulator::Bool=false, + allow_dropped_load::Bool=false, + outage_simulator_generator_gallons_per_kwh::Real=0.02457, + length_of_simulated_outages_time_steps::Array=[], + critical_load_method::String="Fraction", + critical_load_fraction::Dict=Dict(), + critical_load_timeseries::Dict=Dict(), + number_of_outages_to_simulate::Real=0, + time_steps_per_hour::Real=0, + generator_fuel_gallon_available::Dict=Dict(), + generators_only_run_during_grid_outage::Bool=false, + generate_CSV_of_outputs::Bool=false, + generate_dictionary_for_plotting::Bool=false, + number_of_plots_from_outage_simulator::Real=0, + generate_same_pv_production_profile_for_each_node::Bool=false, + pv_inputs_for_standardized_pv_production_profile::Dict=Dict(), + display_information_during_modeling_run::Bool=false, + include_additional_outputs_into_the_combined_results_dictionary::Bool=false, + fault_analysis::Dict=Dict(), + allow_bus_voltage_violations::Bool=false, + bus_per_unit_voltage_target_upper_bound::Real=1.05, + bus_per_unit_voltage_target_lower_bound::Real=0.95, + cost_per_voltage_violation_per_timestep::Real=1000, + allow_dropped_load_in_main_optimization::Bool=false, + cost_per_kwh_dropped_load::Real=100, + run_Xpress_model_presolve::Bool=true, + run_IIS_on_nonoptimal_models::Bool=false, + load_profiles_for_outage_sim_if_using_the_fraction_method::Array=[] + ) + + if generate_same_pv_production_profile_for_each_node + + pv_power_production_factor_series, ambient_temp_celcius = REopt.call_pvwatts_api(pv_inputs_for_standardized_pv_production_profile["latitude"], + pv_inputs_for_standardized_pv_production_profile["longitude"]; + tilt= pv_inputs_for_standardized_pv_production_profile["tilt"], + azimuth= pv_inputs_for_standardized_pv_production_profile["azimuth"], + module_type= pv_inputs_for_standardized_pv_production_profile["module_type"], + array_type= pv_inputs_for_standardized_pv_production_profile["array_type"], + losses= pv_inputs_for_standardized_pv_production_profile["losses"], + dc_ac_ratio= pv_inputs_for_standardized_pv_production_profile["dc_ac_ratio"], + gcr= pv_inputs_for_standardized_pv_production_profile["gcr"], + inv_eff= 100 * pv_inputs_for_standardized_pv_production_profile["inv_eff_fraction"], + timeframe="hourly", + radius=0, + time_steps_per_hour=time_steps_per_hour) + + for node in collect(1:length(REopt_inputs_list)) + if "PV" in keys(REopt_inputs_list[node]) + if "production_factor_series" in keys(REopt_inputs_list[node]["PV"]) + # do nothing because the power_factor_series is already defined + else + REopt_inputs_list[node]["PV"]["production_factor_series"] = pv_power_production_factor_series + end + end + end + end + + if allow_bus_voltage_violations + @warn "Setting the per unit phase voltage upper bound, phase voltage lower bound, and neutral voltage upper bound to 10, 0, and 10, respectively, for the PMD inputs because allow_bus_voltage_violations is set to true" + bus_phase_voltage_upper_bound_per_unit = 10.0 + bus_phase_voltage_lower_bound_per_unit = 0.0 + bus_neutral_voltage_upper_bound_per_unit = 10.0 + end + + new( + folder_location, + bus_coordinates, + PMD_network_input, + multinode_type, + model_type, + model_subtype, + run_BAU_case, + optimizer, + optimizer_tolerance, + log_solver_output_to_console, + PMD_time_steps, + apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD, + REopt_inputs_list, + number_of_phases, + bus_phase_voltage_lower_bound_per_unit, + bus_phase_voltage_upper_bound_per_unit, + bus_neutral_voltage_upper_bound_per_unit, + facilitymeter_node, + substation_node, + substation_line, + allow_export_beyond_substation, + substation_export_limit, + substation_import_limit, + base_voltage_kv, + external_reactive_power_support_per_phase_maximum_kvar, + model_switches, + model_line_upgrades, + line_upgrade_options, + model_transformer_upgrades, + transformer_upgrade_options, + switch_open_timesteps, + single_outage_start_time_step, + single_outage_end_time_step, + model_outages_with_outages_vector, + outages_vector, + run_outage_simulator, + allow_dropped_load, + outage_simulator_generator_gallons_per_kwh, + length_of_simulated_outages_time_steps, + critical_load_method, + critical_load_fraction, + critical_load_timeseries, + number_of_outages_to_simulate, + time_steps_per_hour, + generator_fuel_gallon_available, + generators_only_run_during_grid_outage, + generate_CSV_of_outputs, + generate_dictionary_for_plotting, + number_of_plots_from_outage_simulator, + generate_same_pv_production_profile_for_each_node, + pv_inputs_for_standardized_pv_production_profile, + display_information_during_modeling_run, + include_additional_outputs_into_the_combined_results_dictionary, + fault_analysis, + allow_bus_voltage_violations, + bus_per_unit_voltage_target_upper_bound, + bus_per_unit_voltage_target_lower_bound, + cost_per_voltage_violation_per_timestep, + allow_dropped_load_in_main_optimization, + cost_per_kwh_dropped_load, + run_Xpress_model_presolve, + run_IIS_on_nonoptimal_models, + load_profiles_for_outage_sim_if_using_the_fraction_method + ) + + end +end + diff --git a/src/multinode/multinode_outage_simulator.jl b/src/multinode/multinode_outage_simulator.jl new file mode 100644 index 000000000..a36d0e6cc --- /dev/null +++ b/src/multinode/multinode_outage_simulator.jl @@ -0,0 +1,788 @@ +# REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. + +function run_outage_simulator(DataDictionaryForEachNode, REopt_dictionary, Multinode_Inputs, TimeStamp, LineInfo_PMD, line_upgrade_options_each_line, line_upgrade_results, REopt_inputs_combined) + + Outage_Results = Dict([]) + outage_simulator_time_start = now() + outage_simulator_results_for_plotting = Dict([]) + outage_survival_results_dictionary = Dict([]) + outage_start_timesteps_dictionary = Dict([]) + m_outagesimulator_dictionary = Dict([]) + + # TODO: Transfer any transformer upgrades from the main optimization model into the outage simulator + #transformer_max_kva= "N/A" + + single_model_outage_simulator = "empty" + for i in 1:length(Multinode_Inputs.length_of_simulated_outages_time_steps) + OutageLength = Multinode_Inputs.length_of_simulated_outages_time_steps[i] + pm, OutageLength_TimeSteps_Input, SuccessfullySolved, TimeStepsNotSolved, RunNumber, PercentOfOutagesSurvived, single_model_outage_simulator, outage_survival_results, outage_start_timesteps, dropped_load_results_summary, outage_data_for_plotting = Multinode_OutageSimulator(DataDictionaryForEachNode, + REopt_dictionary, + Multinode_Inputs, + TimeStamp, + line_upgrade_options_each_line, + line_upgrade_results, + REopt_inputs_combined; + LineInfo_PMD = LineInfo_PMD, + NumberOfOutagesToTest = Multinode_Inputs.number_of_outages_to_simulate, + OutageLength_TimeSteps_Input = OutageLength) + Outage_Results["$(OutageLength_TimeSteps_Input)_timesteps_outage"] = Dict(["PercentSurvived" => PercentOfOutagesSurvived, + "NumberOfRuns" => RunNumber, + "pm" => pm, + "time_steps_not_solved" => TimeStepsNotSolved, + "NumberOfOutagesSurvived" => SuccessfullySolved, + "outage_survival_results_each_timestep" => outage_survival_results, + "outage_start_timesteps" => outage_start_timesteps, + "dropped_load_results" => dropped_load_results_summary ]) + + if Multinode_Inputs.generate_dictionary_for_plotting + + additional_outage_results_for_plotting = Dict(["outage_survival_results" => outage_survival_results, + "outage_start_timesteps_checked" => outage_start_timesteps, + "TimeStamp"=>TimeStamp, + "OutageLength_TimeSteps_Input"=>OutageLength_TimeSteps_Input]) + + merge!(outage_data_for_plotting, additional_outage_results_for_plotting) + outage_simulator_results_for_plotting[OutageLength_TimeSteps_Input] = outage_data_for_plotting + end + + outage_survival_results_dictionary[OutageLength] = outage_survival_results + outage_start_timesteps_dictionary[OutageLength] = outage_start_timesteps + + end + outage_simulator_time_milliseconds, outage_simulator_time_minutes = CalculateComputationTime(outage_simulator_time_start) + return Outage_Results, single_model_outage_simulator, outage_simulator_time_minutes, outage_simulator_results_for_plotting, outage_survival_results_dictionary, outage_start_timesteps_dictionary +end + + +function Multinode_OutageSimulator(DataDictionaryForEachNode, REopt_dictionary, Multinode_Inputs, TimeStamp, line_upgrade_options_each_line, line_upgrade_results, REopt_inputs_combined; + NumberOfOutagesToTest = 15, OutageLength_TimeSteps_Input = 1, LineInfo_PMD="") + # This function runs the outage simulator for a particular outage length + + # Initialize variables prior to running the simulator: + NodeList = string.(GenerateREoptNodesList(Multinode_Inputs)) + #NodesWithPV = DetermineNodesWithPV(DataDictionaryForEachNode, NodeList) + m_outagesimulator = "" + RunNumber = 0 + OutageSimulator_LineFromSubstationToFacilityMeter, RunNumber, outage_start_timesteps_checked = PrepareInputsForOutageSimulator(Multinode_Inputs, OutageLength_TimeSteps_Input, NumberOfOutagesToTest) + RunsTested = 0 + outage_survival_results = -1 * ones(RunNumber) + SuccessfullySolved = 0 + TimeStepsNotSolved = [] + outage_data_for_plotting = Dict([]) + pm = "" + data_math_mn = "" + + if Multinode_Inputs.allow_dropped_load + dropped_load_results = Array{Any}(undef, RunNumber) + dropped_load_results_summary = "" + else + dropped_load_results_summary = "N/A" + end + + for x in 1:RunNumber + print("\n Outage Simulation Run # "*string(x)*" of "*string(RunNumber)*" runs") + RunsTested = RunsTested + 1 + i = outage_start_timesteps_checked[x] + TotalTimeSteps = 8760*Multinode_Inputs.time_steps_per_hour + time_results = Dict() + if Multinode_Inputs.model_type == "PowerModelsDistribution" + m_outagesimulator = "" # empty the m_outagesimulator variable + pm, data_math_mn, data_eng = Create_PMD_Model_For_REopt_Integration(Multinode_Inputs, OutageLength_TimeSteps_Input, time_results; combined_REopt_inputs = REopt_inputs_combined, outage_simulator = true) + m_outagesimulator = pm.model # TODO: Confirm that when make changes to pm.model again in the function, that that version of pm.model has the additional constraints defined below for m_outagesimulator + #elseif + # Add other options if additional model_types are added + else + throw(@error("And invalid model_type was provided.")) + end + + for n in NodeList + TimeSteps = OutageLength_TimeSteps_Input + AddVariablesOutageSimulator(Multinode_Inputs, pm.model, TimeSteps, DataDictionaryForEachNode, n) + AddConstraintsOutageSimulator(Multinode_Inputs, pm.model, TimeSteps, DataDictionaryForEachNode, OutageLength_TimeSteps_Input, n, i) + end + + if Multinode_Inputs.model_type == "PowerModelsDistribution" + Connect_To_PMD_Model(pm, Multinode_Inputs, data_math_mn, OutageLength_TimeSteps_Input, LineInfo_PMD, REopt_inputs_combined) + end + + if Multinode_Inputs.model_line_upgrades + AddConstraintsFromLineUpgrades(pm, OutageLength_TimeSteps_Input, LineInfo_PMD, line_upgrade_options_each_line, line_upgrade_results) + end + + if Multinode_Inputs.model_transformer_upgrades + AddConstraintsFromTransformerUpgrades() # TODO: finish this function once transformer upgrades are implemented in the code + end + + if !(Multinode_Inputs.allow_dropped_load) + @objective(pm.model, FEASIBILITY_SENSE, 0) + elseif Multinode_Inputs.allow_dropped_load + @objective(pm.model, Max, (sum(sum(pm.model[Symbol("dvLoadMetMultiplier_"*n)] for n in NodeList)))) # If allowing dropped load, the objective is to maximize the non-dropped load + else + throw(@error("The input for allow_dropped_load is invalid. It must be true or false.")) + end + + PrepareOptimizer(pm, Multinode_Inputs) + results = PowerModelsDistribution.optimize_model!(pm) + TerminationStatus = string(results["termination_status"]) + + outage_survival_results[x], SuccessfullySolved, TimeStepsNotSolved = InterpretResult(TimeStepsNotSolved, TerminationStatus, SuccessfullySolved, Multinode_Inputs, x, i, pm.model, DataDictionaryForEachNode, OutageLength_TimeSteps_Input, TimeStamp, TotalTimeSteps, NodeList) + print("\n The result from run #"*string(RunsTested)*" is: "*TerminationStatus*". Outages survived so far: "*string(SuccessfullySolved)*", Outages tested so far: "*string(RunsTested)) + + if Multinode_Inputs.generate_dictionary_for_plotting && (SuccessfullySolved <= Multinode_Inputs.number_of_plots_from_outage_simulator) + temp_dict = Dict([]) + temp_dict["model"] = pm.model + temp_dict["x"] = x + temp_dict["i"] = i + temp_dict["TotalTimeSteps"] = TotalTimeSteps + temp_dict["NodeList"] = NodeList + outage_data_for_plotting[SuccessfullySolved] = deepcopy(temp_dict) + end + + if Multinode_Inputs.allow_dropped_load && (TerminationStatus == "OPTIMAL") + dropped_load_results[x] = ProcessDroppedLoadResults(Multinode_Inputs, pm.model, i, DataDictionaryForEachNode, OutageLength_TimeSteps_Input, NodeList, RunsTested) + elseif Multinode_Inputs.allow_dropped_load && (TerminationStatus != "OPTIMAL") + dropped_load_results[x] = Dict(["load_met_fraction" => 0.0, "Solved"=> "no"]) + end + + end + + PercentOfOutagesSurvived = DisplayResultsSummary(SuccessfullySolved, RunNumber, OutageLength_TimeSteps_Input) + + if Multinode_Inputs.allow_dropped_load + dropped_load_results_summary = SummarizeDroppedLoadResults(Multinode_Inputs, dropped_load_results) + end + + return pm, OutageLength_TimeSteps_Input, SuccessfullySolved, TimeStepsNotSolved, RunNumber, PercentOfOutagesSurvived, m_outagesimulator, outage_survival_results, outage_start_timesteps_checked, dropped_load_results_summary, outage_data_for_plotting +end + + +function ProcessDroppedLoadResults(Multinode_Inputs, model, i, DataDictionaryForEachNode, OutageLength_TimeSteps_Input, NodeList, RunsTested) + + dropped_load_dictionary = Dict([]) + + load_met_multiplier_results = Dict([]) + for n in NodeList + load_met_multiplier_results[n] = value.(model[Symbol("dvLoadMetMultiplier_"*n)]) + end + + total_load = zeros(OutageLength_TimeSteps_Input) + load_met = zeros(OutageLength_TimeSteps_Input) + + for ts in collect(1:OutageLength_TimeSteps_Input) + total_load[ts] = sum((DataDictionaryForEachNode[n]["loads_kw"][i:(i+OutageLength_TimeSteps_Input-1)])[ts] for n in NodeList) + load_met[ts] = sum( (value.(model[Symbol("dvLoadMetMultiplier_"*n)][ts]) * (DataDictionaryForEachNode[n]["loads_kw"][i:(i+OutageLength_TimeSteps_Input-1)])[ts]) for n in NodeList) + end + + total_load_summed = sum(total_load) + load_met_summed = sum(load_met) + load_met_fraction = round((load_met_summed/total_load_summed), digits=4) + + dropped_load_dictionary = Dict(["RunNumber" => RunsTested, + "solved" => "yes", + "total_load_summed"=> total_load_summed, + "load_met_summed"=>load_met_summed, + "load_met_fraction"=> load_met_fraction, + "load_met_multiplier_results"=>load_met_multiplier_results]) + + return dropped_load_dictionary +end + + +function SummarizeDroppedLoadResults(Multinode_Inputs, dropped_load_results) + + load_met_fraction_list = [] + minimum_value = "N/A" + average_value = "N/A" + maximum_value = "N/A" + + for i in collect(1:length(dropped_load_results)) + push!(load_met_fraction_list, dropped_load_results[i]["load_met_fraction"]) + end + if Multinode_Inputs.display_information_during_modeling_run + print("\n The load met fraction list is: ") + print(load_met_fraction_list) + end + + minimum_value = minimum(load_met_fraction_list) + average_value = mean(load_met_fraction_list) + maximum_value = maximum(load_met_fraction_list) + + summary = Dict(["minimum_load_met_fraction" => minimum_value, + "average_load_met_fraction" => average_value, + "maximum_load_met_fraction" => maximum_value, + "results_by_outage_simulation" => dropped_load_results]) + + return summary +end + + +function AddVariablesOutageSimulator(Multinode_Inputs, m_outagesimulator, TimeSteps, DataDictionaryForEachNode, n) + + Batterykw = DataDictionaryForEachNode[n]["Battery_kw"] + + dv = "dvPVToLoad_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0.0) + dv = "dvBatToLoad_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0.0) + dv = "dvBatToLoadWithEfficiency_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0.0) + dv = "dvGenToLoad_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0.0) + + dv = "dvPVToBat_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0.0, upper_bound = Batterykw) + + dv = "dvGridToBat_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0, upper_bound = Batterykw) + dv = "dvGridToLoad_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + dv = "dvGridPurchase_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + + dv = "FuelUsage_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + dv = "TotalFuelUsage_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, base_name = dv, lower_bound = 0) + + dv = "BatteryCharge_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv) + dv = "SumOfBatFlows_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv) + + # Binary used to prevent battery from charging and discharging at the same time + dv = "Binary_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, Bin) + + dv = "TotalExport_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name=dv) + + dv = "dvPVToGrid_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + dv = "dvBatToGrid_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + dv = "dvBatToGridWithEfficiency_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + dv = "dvGenToGrid_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv, lower_bound = 0) + + if Multinode_Inputs.allow_dropped_load + dv = "dvLoadMetMultiplier_"*n + m_outagesimulator[Symbol(dv)] = @variable(m_outagesimulator, [1:TimeSteps], base_name = dv) #, lower_bound = 0, upper_bound = 1) + end + +end + + +function AddConstraintsOutageSimulator(Multinode_Inputs, m_outagesimulator, TimeSteps, DataDictionaryForEachNode, OutageLength_TimeSteps_Input, n, i) + + time_steps_per_hour = Multinode_Inputs.time_steps_per_hour + + GenPowerRating = DataDictionaryForEachNode[n]["GeneratorSize"] + GalPerkwh = Multinode_Inputs.outage_simulator_generator_gallons_per_kwh + + BatteryChargeStart = DataDictionaryForEachNode[n]["Battery_charge_kwh"][i] + Batterykw = DataDictionaryForEachNode[n]["Battery_kw"] + Batterykwh = DataDictionaryForEachNode[n]["Battery_kwh"] + BatteryRoundTripEfficiencyFraction = DataDictionaryForEachNode[n]["battery_roundtrip_efficiency"] + + PVProductionProfile = DataDictionaryForEachNode[n]["PVproductionprofile"] + + # Total power export: + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], (m_outagesimulator[Symbol("TotalExport_"*n)] .== m_outagesimulator[Symbol("dvPVToGrid_"*n)][ts] + + m_outagesimulator[Symbol("dvBatToGridWithEfficiency_"*n)][ts] + + m_outagesimulator[Symbol("dvGenToGrid_"*n)][ts])) + + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("dvBatToLoadWithEfficiency_"*n)][ts] .== m_outagesimulator[Symbol("dvBatToLoad_"*n)][ts] * BatteryRoundTripEfficiencyFraction) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("dvBatToGridWithEfficiency_"*n)][ts] .== m_outagesimulator[Symbol("dvBatToGrid_"*n)][ts] * BatteryRoundTripEfficiencyFraction) + + # Total PV power constraint: + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("dvPVToGrid_"*n)][ts] + + m_outagesimulator[Symbol("dvPVToBat_"*n)][ts] + + m_outagesimulator[Symbol("dvPVToLoad_"*n)][ts] .<= PVProductionProfile[i .+ ts .- 1] ) + + # Grid power import to each node: + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("dvGridPurchase_"*n)] .== + m_outagesimulator[Symbol("dvGridToLoad_"*n)][ts] + m_outagesimulator[Symbol("dvGridToBat_"*n)][ts] ) + + # Generator constraints: + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("dvGenToGrid_"*n)][ts] + + m_outagesimulator[Symbol("dvGenToLoad_"*n)][ts] .<= + GenPowerRating ) + @constraint(m_outagesimulator, m_outagesimulator[Symbol("TotalFuelUsage_"*n)] .== sum(m_outagesimulator[Symbol("FuelUsage_"*n)]) ) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("FuelUsage_"*n)][ts] .== (m_outagesimulator[Symbol("dvGenToGrid_"*n)][ts] + m_outagesimulator[Symbol("dvGenToLoad_"*n)][ts])*(1/time_steps_per_hour)*GalPerkwh) + @constraint(m_outagesimulator, sum(m_outagesimulator[Symbol("FuelUsage_"*n)]) .<= DataDictionaryForEachNode[n]["Fuel_tank_capacity_gal"] ) + + # Battery constraints: + @constraint(m_outagesimulator, m_outagesimulator[Symbol("BatteryCharge_"*n)][1] == BatteryChargeStart) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("SumOfBatFlows_"*n)][ts] .== + m_outagesimulator[Symbol("dvBatToLoad_"*n)][ts] + + m_outagesimulator[Symbol("dvBatToGrid_"*n)][ts] - + m_outagesimulator[Symbol("dvPVToBat_"*n)][ts] - + m_outagesimulator[Symbol("dvGridToBat_"*n)][ts]) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("SumOfBatFlows_"*n)][ts] .<= Batterykw) + + for t in 1:(TimeSteps-1) + @constraint(m_outagesimulator, m_outagesimulator[Symbol("BatteryCharge_"*n)][t+1] == m_outagesimulator[Symbol("BatteryCharge_"*n)][t] - + (((m_outagesimulator[Symbol("SumOfBatFlows_"*n)][t]))/time_steps_per_hour) ) + end + + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("BatteryCharge_"*n)][ts] .<= Batterykwh ) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("BatteryCharge_"*n)][ts] .>= 0) + + + if (string(Multinode_Inputs.optimizer) == "Xpress.Optimizer") || (string(Multinode_Inputs.optimizer) == "Gurobi.Optimizer") # only apply the indicator constraints if using a solver that is compatible with indicator constraints + # Use a binary to prohibit charging and discharging at the same time: + for t in 1:TimeSteps + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("Binary_"*n)][ts] .=> {m_outagesimulator[Symbol("dvGridToBat_"*n)][ts] .== 0.0} ) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], m_outagesimulator[Symbol("Binary_"*n)][ts] .=> {m_outagesimulator[Symbol("dvPVToBat_"*n)][ts] .== 0.0} ) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], !m_outagesimulator[Symbol("Binary_"*n)][ts] .=> {m_outagesimulator[Symbol("dvBatToLoad_"*n)][ts] .== 0.0} ) + @constraint(m_outagesimulator, [ts in [1:TimeSteps]], !m_outagesimulator[Symbol("Binary_"*n)][ts] .=> {m_outagesimulator[Symbol("dvBatToGrid_"*n)][ts] .== 0.0} ) + end + else + @warn "The battery may charge and discharge at the same time in the outage simulator because the solver is not compatible with indicator constraints." + end + #print("\n OutageLength_TimeSteps_Input are: $(OutageLength_TimeSteps_Input)") + #print("\n Timesteps are: $(TimeSteps)") + # Constraints for meeting the electric load at each node + if !(Multinode_Inputs.allow_dropped_load) + #print("\n Adding constraints for not allowing dropped load") + @constraint(m_outagesimulator, [ts in [1:OutageLength_TimeSteps_Input]], m_outagesimulator[Symbol("dvPVToLoad_"*n)][ts] + + m_outagesimulator[Symbol("dvGridToLoad_"*n)][ts] + + m_outagesimulator[Symbol("dvBatToLoadWithEfficiency_"*n)][ts] + + m_outagesimulator[Symbol("dvGenToLoad_"*n)][ts] .== (DataDictionaryForEachNode[n]["loads_kw"][i:(i+OutageLength_TimeSteps_Input-1)])[ts]) + + elseif Multinode_Inputs.allow_dropped_load + @info("Allowing dropped load in the outage simulator") + @constraint(m_outagesimulator, [ts in [1:OutageLength_TimeSteps_Input]], m_outagesimulator[Symbol("dvLoadMetMultiplier_"*n)][ts] .>= 0.0) + @constraint(m_outagesimulator, [ts in [1:OutageLength_TimeSteps_Input]], m_outagesimulator[Symbol("dvLoadMetMultiplier_"*n)][ts] .<= 1.0) + @constraint(m_outagesimulator, [ts in [1:OutageLength_TimeSteps_Input]], m_outagesimulator[Symbol("dvPVToLoad_"*n)][ts] + + m_outagesimulator[Symbol("dvGridToLoad_"*n)][ts] + + m_outagesimulator[Symbol("dvBatToLoadWithEfficiency_"*n)][ts] + + m_outagesimulator[Symbol("dvGenToLoad_"*n)][ts] .== (DataDictionaryForEachNode[n]["loads_kw"][i:(i+OutageLength_TimeSteps_Input-1)][ts]) .* m_outagesimulator[Symbol("dvLoadMetMultiplier_"*n)][ts] ) + + end +end + + +function Connect_To_PMD_Model(pm, Multinode_Inputs, data_math_mn, OutageLength_TimeSteps_Input, LineInfo_PMD, REopt_inputs_combined) + # Link the power export decision variables to the PMD model + outage_timesteps = collect(1:OutageLength_TimeSteps_Input) + + REopt_nodes = REopt.GenerateREoptNodesList(Multinode_Inputs) + + gen_name2ind, load_phase_dictionary, gen_ind_e_to_REopt_node = generate_PMD_information(Multinode_Inputs, REopt_nodes, REopt_inputs_combined, data_math_mn) + + + #gen_name2ind = Dict(gen["name"] => gen["index"] for (_,gen) in data_math_mn["nw"]["1"]["gen"]) + + if Multinode_Inputs.number_of_phases == 1 + REopt_gen_ind_e = [gen_name2ind["REopt_gen_$e"] for e in REopt_nodes] + + elseif Multinode_Inputs.number_of_phases in [2,3] + + REopt_gen_ind_e = [] + if Multinode_Inputs.display_information_during_modeling_run + print("\n Gen name to index, outage simulator: ") + print(gen_name2ind) + end + + for e in REopt_nodes + for phase in load_phase_dictionary[e] + # Add the gen index to the REopt_gen_ind_e list + + gen_ind_e_temp = gen_name2ind["REopt_gen_node$(e)_phase$(phase)"] + push!(REopt_gen_ind_e, gen_ind_e_temp) + + end + end + else + throw(@error("Error in the number of phases")) + end + + for e in REopt_gen_ind_e #Note: the REopt_gen_ind_e does not contain the facility meter + + number_of_phases_at_load = "" + number_of_phases_at_load = length(load_phase_dictionary[gen_ind_e_to_REopt_node[e]]) + + JuMP.@constraint(pm.model, [k in outage_timesteps], + PowerModelsDistribution.var(pm, k, :pg, e).data[1] == (1/number_of_phases_at_load) * (pm.model[Symbol("TotalExport_"*string(gen_ind_e_to_REopt_node[e]))][k] - pm.model[Symbol("dvGridPurchase_"*string(gen_ind_e_to_REopt_node[e]))][k]) # negative power "generation" is a load + ) + # TODO: add reactive power to the REopt nodes + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + JuMP.@constraint(pm.model, [k in outage_timesteps], + PowerModelsDistribution.var(pm, k, :qg, e).data[1] == 0.0 #(1/number_of_phases_at_load) * (m[Symbol("TotalExport_"*string(gen_ind_e_to_REopt_node[e]))][k] - m[Symbol("dvGridPurchase_"*string(gen_ind_e_to_REopt_node[e]))][k]) + ) + end + end + + # Prevent power from entering the multinode to simulate a power outage + for PMD_time_step in outage_timesteps + substation_line_index = LineInfo_PMD[lowercase(Multinode_Inputs.substation_line)]["index"] + timestep_for_network_data = 1 # collect the network configuration information from timestep 1, which assumes that the network is not changing (fair to assume with the REopt integration) + branch = PowerModelsDistribution.ref(pm, timestep_for_network_data, :branch, substation_line_index) + f_bus = branch["f_bus"] + t_bus = branch["t_bus"] + f_connections = branch["f_connections"] + t_connections = branch["t_connections"] + f_idx = (substation_line_index, f_bus, t_bus) + t_idx = (substation_line_index, t_bus, f_bus) + + p_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :p, f_idx)[c] for c in f_connections] + p_to = [PowerModelsDistribution.var(pm, PMD_time_step, :p, t_idx)[c] for c in t_connections] + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + q_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :q, f_idx)[c] for c in f_connections] + q_to = [PowerModelsDistribution.var(pm, PMD_time_step, :q, t_idx)[c] for c in t_connections] + end + + JuMP.@constraint(pm.model, [phase in f_connections], p_fr[phase] .== 0) # The _fr and _to variables are just indicating power flow in either direction on the line. In PMD, there is a constraint that requires p_to = -p_fr + JuMP.@constraint(pm.model, [phase in t_connections], p_to[phase] .== 0) # TODO test removing the "fr" constraints here in order to reduce the # of constraints in the model + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + if Multinode_Inputs.number_of_phases == 1 + JuMP.@constraint(pm.model, [phase in f_connections], q_fr[phase] .== 0) + JuMP.@constraint(pm.model, [phase in t_connections], q_to[phase] .== 0) + else + JuMP.@constraint(pm.model, [phase in f_connections], -Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar .<= q_fr[phase] .<= Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) + JuMP.@constraint(pm.model, [phase in t_connections], -Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar .<= q_to[phase] .<= Multinode_Inputs.external_reactive_power_support_per_phase_maximum_kvar) + end + end + end +end + + +function AddConstraintsFromLineUpgrades(pm, OutageLength_TimeSteps_Input, LineInfo, line_upgrade_options_each_line, line_upgrade_results) + + outage_timesteps = collect(1:OutageLength_TimeSteps_Input) + max_amps = Dict() + + for line in keys(line_upgrade_options_each_line) + + max_amps_temp = Dict(line => line_upgrade_results[findfirst(x -> x == line, line_upgrade_results.Line), :MaximumRatedAmps]) + merge!(max_amps, max_amps_temp) + + i = LineInfo[line]["index"] + + # Based off of code in line 470 of PMD's src>core>constraint_template + timestep = 1 # collect the network configuration information from timestep 1, which assumes that the network is not changing (fair to assume with the REopt integration) + branch = PowerModelsDistribution.ref(pm, timestep, :branch, i) + f_bus = branch["f_bus"] + t_bus = branch["t_bus"] + f_connections = branch["f_connections"] + t_connections = branch["t_connections"] + f_idx = (i, f_bus, t_bus) + t_idx = (i, t_bus, f_bus) + + for PMD_time_step in outage_timesteps + p_fr = [PowerModelsDistribution.var(pm, PMD_time_step, :p, f_idx)[c] for c in f_connections] + p_to = [PowerModelsDistribution.var(pm, PMD_time_step, :p, t_idx)[c] for c in t_connections] + + for phase in f_connections + @constraint(pm.model, p_fr[phase] <= max_amps[line] * line_upgrade_options_each_line[line]["voltage_kv"]) + @constraint(pm.model, p_fr[phase] >= -max_amps[line] * line_upgrade_options_each_line[line]["voltage_kv"]) + end + + for phase in t_connections + @constraint(pm.model, p_to[phase] <= max_amps[line] * line_upgrade_options_each_line[line]["voltage_kv"]) + @constraint(pm.model, p_to[phase] >= -max_amps[line] * line_upgrade_options_each_line[line]["voltage_kv"]) + end + end + end +end + + +function AddConstraintsFromTransformerUpgrades() + # TODO: finish this function + +end + + +function GenerateInputsForOutageSimulator(Multinode_Inputs, REopt_results) + results = REopt_results + + TimeSteps = collect(1:(8760*Multinode_Inputs.time_steps_per_hour)) + NodeList = string.(GenerateREoptNodesList(Multinode_Inputs)) + + # Define the critical loads + critical_loads_kw = Dict([]) + if Multinode_Inputs.critical_load_method == "Fraction" + for i in 1:length(NodeList) + if results[NodeList[i]]["ElectricLoad"]["annual_calculated_kwh"] > 1 + critical_loads_kw[NodeList[i]] = Multinode_Inputs.critical_load_fraction[NodeList[i]] * Multinode_Inputs.load_profiles_for_outage_sim_if_using_the_fraction_method[NodeList[i]] + else + critical_loads_kw[NodeList[i]] = zeros(8760*Multinode_Inputs.time_steps_per_hour) + end + end + elseif Multinode_Inputs.critical_load_method == "TimeSeries" + for i in 1:length(NodeList) + if results[NodeList[i]]["ElectricLoad"]["annual_calculated_kwh"] > 1 + critical_loads_kw[NodeList[i]] = Multinode_Inputs.critical_load_timeseries[NodeList[i]] + else + critical_loads_kw[NodeList[i]] = zeros(8760*Multinode_Inputs.time_steps_per_hour) + end + end + else + throw(@error("Invalid method for generating a critical load was provided")) + end + + # Initiate the dictionary with data from the first node + if "ElectricStorage" in keys(results[NodeList[1]]) + if length(results[NodeList[1]]["ElectricStorage"]["soc_series_fraction"]) > 0 + BatteryChargekwh = results[NodeList[1]]["ElectricStorage"]["soc_series_fraction"]*results[NodeList[1]]["ElectricStorage"]["size_kwh"] + Batterykw = results[NodeList[1]]["ElectricStorage"]["size_kw"] + Batterykwh = results[NodeList[1]]["ElectricStorage"]["size_kwh"] + else + BatteryChargekwh = 0*ones(length(TimeSteps)) + Batterykw = 0 + Batterykwh = 0 + end + else + BatteryChargekwh = 0*ones(length(TimeSteps)) + Batterykw = 0 + Batterykwh = 0 + end + + if "PV" in keys(results[NodeList[1]]) + if results[NodeList[1]]["PV"]["size_kw"] > 0 + PVProductionProfile_results = round.(((results[NodeList[1]]["PV"]["production_factor_series"])*results[NodeList[1]]["PV"]["size_kw"]), digits = 3) + else + PVProductionProfile_results = zeros(length(TimeSteps)) + end + else + PVProductionProfile_results = zeros(length(TimeSteps)) + end + + if "Generator" in keys(results[NodeList[1]]) + GeneratorSize_results = results[NodeList[1]]["Generator"]["size_kw"] + if NodeList[1] in keys(Multinode_Inputs.generator_fuel_gallon_available) + generator_fuel_gallon_available = Multinode_Inputs.generator_fuel_gallon_available[NodeList[1]] + else + generator_fuel_gallon_available = 0 + end + else + GeneratorSize_results = 0 + generator_fuel_gallon_available = 0 + end + + # Enter data into the dictionary + DataDictionaryForEachNode = Dict([ + (NodeList[1],Dict([ + ("loads_kw", critical_loads_kw[NodeList[1]]), + ("PVproductionprofile", PVProductionProfile_results ), + ("GeneratorSize", GeneratorSize_results), + ("Battery_charge_kwh", BatteryChargekwh), + ("Battery_kw", Batterykw), + ("Battery_kwh", Batterykwh), + ("Fuel_tank_capacity_gal", generator_fuel_gallon_available), + ("battery_roundtrip_efficiency",0.95) + ])), + ]) + + # Add additional dictionaries to the main dictionary for the additional nodes, depending on how many nodes there are + for i in 2:length(NodeList) + if "ElectricStorage" in keys(results[NodeList[i]]) + if length(results[NodeList[i]]["ElectricStorage"]["soc_series_fraction"]) > 0 + BatteryChargekwh_B = results[NodeList[i]]["ElectricStorage"]["soc_series_fraction"]*results[NodeList[i]]["ElectricStorage"]["size_kwh"] + Batterykw_B = results[NodeList[i]]["ElectricStorage"]["size_kw"] + Batterykwh_B = results[NodeList[i]]["ElectricStorage"]["size_kwh"] + else + BatteryChargekwh_B = 0*ones(length(TimeSteps)) + Batterykw_B = 0 + Batterykwh_B = 0 + end + else + BatteryChargekwh_B = 0*ones(length(TimeSteps)) + Batterykw_B = 0 + Batterykwh_B = 0 + end + if "PV" in keys(results[NodeList[i]]) + if results[NodeList[i]]["PV"]["size_kw"] > 0 + PVProductionProfile_results_B = round.(((results[NodeList[i]]["PV"]["production_factor_series"])*results[NodeList[i]]["PV"]["size_kw"]), digits = 3) + else + PVProductionProfile_results_B = zeros(length(TimeSteps)) + end + else + PVProductionProfile_results_B = zeros(length(TimeSteps)) + end + + if "Generator" in keys(results[NodeList[i]]) + GeneratorSize_results_B = results[NodeList[i]]["Generator"]["size_kw"] + if NodeList[i] in keys(Multinode_Inputs.generator_fuel_gallon_available) + generator_fuel_gallon_available = Multinode_Inputs.generator_fuel_gallon_available[NodeList[i]] + else + generator_fuel_gallon_available = 0 + end + else + GeneratorSize_results_B = 0 + generator_fuel_gallon_available = 0 + end + DictionaryToAdd = Dict([ + (NodeList[i],Dict([ + ("loads_kw", critical_loads_kw[NodeList[i]]), + ("PVproductionprofile", PVProductionProfile_results_B), + ("GeneratorSize", GeneratorSize_results_B), + ("Battery_charge_kwh", BatteryChargekwh_B), + ("Battery_kw", Batterykw_B), + ("Battery_kwh", Batterykwh_B), + ("Fuel_tank_capacity_gal", generator_fuel_gallon_available), + ("battery_roundtrip_efficiency",0.95) + ])), + ]) + merge!(DataDictionaryForEachNode, DictionaryToAdd) + end +return DataDictionaryForEachNode +end + + +function PrepareInputsForOutageSimulator(Multinode_Inputs, OutageLength_TimeSteps_Input, NumberOfOutagesToTest) + randomly_ordered_timesteps = RandomlyOrderedTimesteps() + if Multinode_Inputs.time_steps_per_hour == 1 + outage_start_timesteps = randomly_ordered_timesteps["8760"] + elseif Multinode_Inputs.time_steps_per_hour == 2 + outage_start_timesteps = randomly_ordered_timesteps["17540"] + elseif Multinode_Inputs.time_steps_per_hour == 4 + outage_start_timesteps = randomly_ordered_timesteps["35040"] + else + throw(@error("The defined time steps per hour are currently not compatible with the outage simulator")) + end + + NumberOfTimeSteps = Multinode_Inputs.time_steps_per_hour * 8760 + RunNumber_limit = NumberOfTimeSteps - (OutageLength_TimeSteps_Input+1) + outage_start_timesteps_filtered = outage_start_timesteps[outage_start_timesteps .< RunNumber_limit] + + if RunNumber_limit < NumberOfOutagesToTest + @warn "The number of possible outages to test is less than the number of outages requested by the user. $(RunNumber) will be evaluated instead of $(NumberOfOutagesToTest)." + RunNumber = RunNumber_limit + else + RunNumber = NumberOfOutagesToTest + end + + outage_start_timesteps_checked = outage_start_timesteps_filtered[1:RunNumber] + + if Multinode_Inputs.model_type == "PowerModelsDistribution" + OutageSimulator_LineFromSubstationToFacilityMeter = lowercase(Multinode_Inputs.substation_line) #substation_node*"-"*Multinode_Inputs.facilitymeter_node + end + + return OutageSimulator_LineFromSubstationToFacilityMeter, RunNumber, outage_start_timesteps_checked +end + + +function InterpretResult(TimeStepsNotSolved, TerminationStatus, SuccessfullySolved, Multinode_Inputs, x, i, m_outagesimulator, DataDictionaryForEachNode, OutageLength_TimeSteps_Input, TimeStamp, TotalTimeSteps, NodeList) + if TerminationStatus == "OPTIMAL" + SuccessfullySolved = SuccessfullySolved + 1 + outage_survival_result = 1 # a value of 1 indicates that the outage was survived + + # TODO: calculate the amount of generator fuel that remains, for example: RemainingFuel = value.(m_outagesimulator[Symbol("FuelLeft_3")]) + value.(m_outagesimulator[Symbol("FuelLeft_10")]) + + else + push!(TimeStepsNotSolved, i) + outage_survival_result = 0 # a value of 0 indicates that the outage was not survived + end + + return outage_survival_result, SuccessfullySolved, TimeStepsNotSolved +end + + +function PrepareOptimizer(pm, Multinode_Inputs) + set_optimizer(pm.model, Multinode_Inputs.optimizer) + + if string(Multinode_Inputs.optimizer) == "Xpress.Optimizer" + set_optimizer_attribute(pm.model, "MIPRELSTOP", Multinode_Inputs.optimizer_tolerance) + set_optimizer_attribute(pm.model, "OUTPUTLOG", Multinode_Inputs.log_solver_output_to_console ? 1 : 0) + elseif string(Multinode_Inputs.optimizer) == "Gurobi.Optimizer" + set_optimizer_attribute(pm.model, "MIPGap", Multinode_Inputs.optimizer_tolerance) + set_optimizer_attribute(pm.model, "OutputFlag", Multinode_Inputs.log_solver_output_to_console ? 1 : 0) + set_optimizer_attribute(pm.model, "LogToConsole", Multinode_Inputs.log_solver_output_to_console ? 1 : 0) + elseif string(Multinode_Inputs.optimizer) == "HiGHS.Optimizer" + set_optimizer_attribute(pm.model, "mip_rel_gap", Multinode_Inputs.optimizer_tolerance) + set_optimizer_attribute(pm.model, "output_flag", false) + set_optimizer_attribute(pm.model, "log_to_console", false) + else + @info "The solver's default tolerance and log settings are being used for the optimization" + end + +end + + +function DisplayResultsSummary(SuccessfullySolved, RunNumber, OutageLength_TimeSteps_Input) + print("\n --- Summary of results ---") + PercentOfOutagesSurvived = 100*(SuccessfullySolved/RunNumber) + print("\n The length of outage tested is: "*string(OutageLength_TimeSteps_Input)*" time steps") + print("\n The number of outages survived is: "*string(SuccessfullySolved)*" of "*string(RunNumber)*" runs") + print("\n Percent of outages survived: "*string(round(PercentOfOutagesSurvived, digits = 2))*" % \n") + return PercentOfOutagesSurvived +end + + +function DetermineNodesWithPV(DataDictionaryForEachNode, NodeList) + # This function determines which nodes have PV + NodesWithPV = [] + for p in NodeList + if maximum(DataDictionaryForEachNode[p]["PVproductionprofile"]) > 0 + push!(NodesWithPV, p) + end + end + return NodesWithPV +end + + +function RandomlyOrderedTimesteps() + path = joinpath(dirname(pathof(REopt))) + path = replace(path, "\\" => "/") + randomly_ordered_timesteps = JSON.parsefile(path*"/multinode/random_vectors_data.json") + return randomly_ordered_timesteps +end + + +function CreateRandomVectorOrder(filepath, vector1, vector2, vector3) + # This function saves a random ordering of vector data for the outage simulator + #= + # Use this code to create inputs into the function: + vector_8760_ordered = collect(1:8760) + vector_8760_randomly_unordered = Random.shuffle(vector_8760_ordered) + + vector_17540_ordered = collect(1:17540) + vector_17540_randomly_unordered = Random.shuffle(vector_17540_ordered) + + vector_35040_ordered = collect(1:35040) + vector_35040_randomly_unordered = Random.shuffle(vector_35040_ordered) + + CreateRandomVectorOrder(filepath, vector_8760_randomly_unordered, vector_17540_randomly_unordered, vector_35040_randomly_unordered + =# + + vector_8760_randomly_unordered = vector1 + vector_17540_randomly_unordered = vector2 + vector_35040_randomly_unordered = vector3 + + data = Dict(["8760" => vector_8760_randomly_unordered, + "17540" => vector_17540_randomly_unordered, + "35040" => vector_35040_randomly_unordered + ]) + + open(filepath*"/random_vectors_data.json", "w") do x + JSON.print(x, data) + end + + # Visualize some distributions of the data + lengths = [100,250,500,1000] + + for length in lengths + + selected_values = vector_8760_randomly_unordered[1:length] + time_of_day = zeros(length) + day_of_year = zeros(length) + for x in collect(1:length) + time_of_day[x] = selected_values[x] % 24 + day_of_year[x] = ceil(selected_values[x] / 24) + end + Plots.histogram(time_of_day, bins=range(0,24, length=25)) + Plots.xlabel!("Hour of Day") + Plots.ylabel!("Occurances") + display(Plots.title!("Time of day distribution, $(length) tests")) + Plots.histogram(day_of_year, bins=0:7:371) + Plots.xlabel!("Day of Year") + Plots.ylabel!("Occurances") + display(Plots.title!("Day of year distribution, $(length) tests")) + end +end + + diff --git a/src/multinode/multinode_results_processing.jl b/src/multinode/multinode_results_processing.jl new file mode 100644 index 000000000..ebb425574 --- /dev/null +++ b/src/multinode/multinode_results_processing.jl @@ -0,0 +1,1172 @@ +# REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. + +function CreateOutputsFolder(Multinode_Inputs, TimeStamp) + # Create a folder for the outputs if saving results + if Multinode_Inputs.generate_CSV_of_outputs == true || Multinode_Inputs.generate_results_plots == true + @info "Creating a folder for the results" + mkdir(Multinode_Inputs.folder_location*"/results_"*TimeStamp) + end + +end + + +function CalculateComputationTime(StartTime) + # Function to calculate the elapsed time between a time (input into the function) and the current time + EndTime = now() + ComputationTime_milliseconds = EndTime - StartTime + #print("The computation time in milliseconds is: $(ComputationTime_milliseconds)") + + if Dates.value(ComputationTime_milliseconds) > 1000 + ComputationTime_minutes = round(Dates.value(ComputationTime_milliseconds)/60000, digits=2) + else + ComputationTime_minutes = round(Dates.value(ComputationTime_milliseconds)/60000, digits=4) + end + + return ComputationTime_milliseconds, ComputationTime_minutes +end + + +function Results_Processing_REopt_PMD_Model(m, results, data_math_mn, REoptInputs_Combined, Multinode_Inputs, timestamp, time_results; allow_upgrades=false, line_upgrade_options_each_line ="", BAU_case=false) + + if BAU_case == true + BAU_indicator = "BAU_model_" + else + BAU_indicator = "" + end + + # Extract the PMD results + print("\n Reading the PMD results") + Start_reading_PMD_results = now() + sol_math = results["solution"] + # The PMD results are saved to the sol_eng variable + sol_eng = PowerModelsDistribution.transform_solution(sol_math, data_math_mn) + milliseconds, time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"reading_PMD_results_minutes"] = CalculateComputationTime(Start_reading_PMD_results) + + # Extract the REopt results + print("\n Reading the REopt results \n") + Start_reading_REopt_results = now() + REopt_results = reopt_results(m, REoptInputs_Combined) + print("\n Completed reading the REopt results \n") + + # Process the line upgrade results + if allow_upgrades == true && Multinode_Inputs.model_line_upgrades == true + line_upgrades = Process_Line_Upgrades(m, line_upgrade_options_each_line, Multinode_Inputs, timestamp) + else + line_upgrades = "N/A" + end + + # Generate inputs that will be used for the multinode outage simulator + if Multinode_Inputs.run_outage_simulator + print("\n Generating inputs for the outage simulator \n") + DataDictionaryForEachNodeForOutageSimulator = REopt.GenerateInputsForOutageSimulator(Multinode_Inputs, REopt_results) + print("\n Completed generating inputs for the outage simulator \n") + else + DataDictionaryForEachNodeForOutageSimulator = "N/A" + end + + if Multinode_Inputs.model_subtype == "SOCNLPUBFPowerModel" + pf_name = "Pf" + qf_name = "Qf" + else # if Multinode_Inputs.model_subtype == "LPUBFDiagPowerModel" + pf_name = "pf" + qf_name = "qf" + end + + # Compute values for each line and store line power flows in a dataframe and dictionary + DataLineFlow = Vector{Any}(zeros(7)) + DataFrame_LineFlow = DataFrame(fill(Any[],7), [:Line, :Minimum_LineFlow_ActivekW, :Maximum_LineFlow_ActivekW, :Average_LineFlow_ActivekW, :Minimum_LineFlow_ReactivekVAR, :Maximum_LineFlow_ReactivekVAR, :Average_LineFlow_ReactivekVAR ]) + PMD_Dictionary_LineFlow_Power_Series = Dict([]) + print("\n Storing the line flow data in PMD") + for line in keys(sol_eng["nw"]["1"]["line"]) # read all of the line names from the first time step + ActivePowerFlow_line_temp = [] + ReactivePowerFlow_line_temp = [] + + ActivePowerFlow_line_Phase1_temp = [] + ActivePowerFlow_line_Phase2_temp = [] + ActivePowerFlow_line_Phase3_temp = [] + ReactivePowerFlow_line_Phase1_temp = [] + ReactivePowerFlow_line_Phase2_temp = [] + ReactivePowerFlow_line_Phase3_temp = [] + + for i in 1:length(sol_eng["nw"]) + push!(ActivePowerFlow_line_temp, sum(sol_eng["nw"][string(i)]["line"][line][pf_name][Phase] for Phase in keys(sol_eng["nw"][string(i)]["line"][line][pf_name])) ) # The "for Phase in keys(..." sums the power across the phases + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + push!(ReactivePowerFlow_line_temp, sum(sol_eng["nw"][string(i)]["line"][line][qf_name][Phase] for Phase in keys(sol_eng["nw"][string(i)]["line"][line][qf_name])) ) + else + push!(ReactivePowerFlow_line_temp, "N/A") + end + end + + # Pull data from the first time step + for phase in keys(sol_eng["nw"]["1"]["line"][line][pf_name]) # TODO: confirm that "phase" here is the phase number, not just the index + if phase == 1 + for i in 1:length(sol_eng["nw"]) + push!(ActivePowerFlow_line_Phase1_temp, sol_eng["nw"][string(i)]["line"][line][pf_name][phase]) + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + push!(ReactivePowerFlow_line_Phase1_temp, sol_eng["nw"][string(i)]["line"][line][qf_name][phase]) + else + push!(ReactivePowerFlow_line_Phase1_temp, "N/A") + end + end + elseif phase == 2 + for i in 1:length(sol_eng["nw"]) + push!(ActivePowerFlow_line_Phase2_temp, sol_eng["nw"][string(i)]["line"][line][pf_name][phase]) + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + push!(ReactivePowerFlow_line_Phase2_temp, sol_eng["nw"][string(i)]["line"][line][qf_name][phase]) + else + push!(ReactivePowerFlow_line_Phase2_temp, "N/A") + end + end + elseif phase ==3 + for i in 1:length(sol_eng["nw"]) + push!(ActivePowerFlow_line_Phase3_temp, sol_eng["nw"][string(i)]["line"][line][pf_name][phase]) + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + push!(ReactivePowerFlow_line_Phase3_temp, sol_eng["nw"][string(i)]["line"][line][qf_name][phase]) + else + push!(ReactivePowerFlow_line_Phase3_temp, "N/A") + end + end + else + throw(@error("The phase number, $(phase), is invalid")) + end + end + + DataLineFlow[1] = round(minimum(ActivePowerFlow_line_temp[:]), digits = 5) + DataLineFlow[2] = round(maximum(ActivePowerFlow_line_temp[:]), digits = 5) + DataLineFlow[3] = round(mean(ActivePowerFlow_line_temp[:]), digits = 5) + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + DataLineFlow[4] = round(minimum(ReactivePowerFlow_line_temp[:]), digits = 5) + DataLineFlow[5] = round(maximum(ReactivePowerFlow_line_temp[:]), digits = 5) + DataLineFlow[6] = round(mean(ReactivePowerFlow_line_temp[:]), digits = 5) + else + DataLineFlow[4] = "N/A" + DataLineFlow[5] = "N/A" + DataLineFlow[6] = "N/A" + end + + DataFrame_LineFlow_temp = DataFrame([("Line "*string(line)) DataLineFlow[1] DataLineFlow[2] DataLineFlow[3] DataLineFlow[4] DataLineFlow[5] DataLineFlow[6]], [:Line, :Minimum_LineFlow_ActivekW, :Maximum_LineFlow_ActivekW, :Average_LineFlow_ActivekW, :Minimum_LineFlow_ReactivekVAR, :Maximum_LineFlow_ReactivekVAR, :Average_LineFlow_ReactivekVAR]) + DataFrame_LineFlow = append!(DataFrame_LineFlow,DataFrame_LineFlow_temp) + + # Also create a dictionary of the line power flows + PMD_Dictionary_LineFlow_Power_Series_temp = Dict([(line, Dict([ + ("ActiveLineFlow", ActivePowerFlow_line_temp), + ("ReactiveLineFlow", ReactivePowerFlow_line_temp), + ("Phase1_ActiveLineFlow", ActivePowerFlow_line_Phase1_temp), + ("Phase2_ActiveLineFlow", ActivePowerFlow_line_Phase2_temp), + ("Phase3_ActiveLineFlow", ActivePowerFlow_line_Phase3_temp), + ("Phase1_ReactiveLineFlow", ReactivePowerFlow_line_Phase1_temp), + ("Phase2_ReactiveLineFlow", ReactivePowerFlow_line_Phase2_temp), + ("Phase3_ReactiveLineFlow", ReactivePowerFlow_line_Phase3_temp) + ])) + ]) + merge!(PMD_Dictionary_LineFlow_Power_Series, PMD_Dictionary_LineFlow_Power_Series_temp) + + end + + print("\n Completed storing the line flow data in PMD") + + # Record the time for post-processing + milliseconds, time_results["Step $(length(keys(time_results))+1): "*BAU_indicator*"reading_REopt_results_minutes"] = CalculateComputationTime(Start_reading_REopt_results) + + return REopt_results, sol_eng, DataDictionaryForEachNodeForOutageSimulator, PMD_Dictionary_LineFlow_Power_Series, DataFrame_LineFlow, line_upgrades +end + + +function Process_Line_Upgrades(m, line_upgrade_options_each_line, Multinode_Inputs, TimeStamp) + + line_upgrade_results = DataFrame(fill(Any[], 4), [:Line, :Upgraded, :MaximumRatedAmps, :UpgradeCost]) + for line in keys(line_upgrade_options_each_line) + number_of_entries = length(line_upgrade_options_each_line[line]["max_amperage"]) + dv = "Bin"*line + maximum_amps = sum(value.(m[Symbol(dv)][i])*line_upgrade_options_each_line[line]["max_amperage"][i] for i in 1:number_of_entries) + #rmatrix = sum(value.(m[Symbol(dv)][i])*line_upgrades_each_line[line]["rmatrix"][i] for i in 1:number_of_entries) + #xmatrix = sum(value.(m[Symbol(dv)][i])*line_upgrades_each_line[line]["xmatrix"][i] for i in 1:number_of_entries) + upgraded_cost = round(value.(m[Symbol("line_cost")][line]), digits = 0) + + if Int(round(value.(m[Symbol(dv)][1]), digits=0)) != 1 + upgraded = "Yes" + else + upgraded = "No" + end + + line_upgrade_results_temp = DataFrame([line upgraded maximum_amps upgraded_cost ], [:Line, :Upgraded, :MaximumRatedAmps, :UpgradeCost]) + line_upgrade_results = append!(line_upgrade_results, line_upgrade_results_temp) + end + + # Save line upgrade results to a csv + if Multinode_Inputs.generate_CSV_of_outputs + CSV.write(Multinode_Inputs.folder_location*"/results_"*TimeStamp*"/Results_Line_Upgrade_Summary_"*TimeStamp*".csv", line_upgrade_results) + end + + return line_upgrade_results +end + + +function Results_Compilation(model, results, PMD_Results, Outage_Results, Multinode_Inputs, DataFrame_LineFlow_Summary, PMD_Dictionary_LineFlow_Power_Series, TimeStamp, start_time_entire_model; all_line_powerflow_results="", simple_powerflow_model_results="", bau_model = "", system_results_BAU = "", line_upgrade_results = "", transformer_upgrade_results = "", outage_simulator_time = "") + + @info "Compiling the results" + + InputsList = Multinode_Inputs.REopt_inputs_list + + # Compute system-level outputs + system_results = Dict{String, Any}() # Float64}() + + # Initialize the results variables + total_lifecycle_capital_cost = 0 # includes replacements and incentives + total_initial_capital_costs = 0 + total_initial_capital_costs_after_incentives = 0 + total_lifecycle_storage_capital_costs = 0 + line_upgrade_costs = 0 + total_PV_size_kw = 0 + total_PV_energy_produced_minus_curtailment_first_year = 0 + total_electric_storage_size_kw = 0 + total_electric_storage_size_kwh = 0 + total_generator_size_kw = 0 + + for n in InputsList + node_temp = n["Site"]["node"] + + total_lifecycle_capital_cost = total_lifecycle_capital_cost + results[node_temp]["Financial"]["lifecycle_capital_costs"] + total_initial_capital_costs = total_initial_capital_costs + results[node_temp]["Financial"]["initial_capital_costs"] + total_initial_capital_costs_after_incentives = total_initial_capital_costs_after_incentives + results[node_temp]["Financial"]["initial_capital_costs_after_incentives"] + total_lifecycle_storage_capital_costs = total_lifecycle_storage_capital_costs + results[node_temp]["Financial"]["lifecycle_storage_capital_costs"] + + if "PV" in keys(results[node_temp]) + total_PV_size_kw = total_PV_size_kw + results[node_temp]["PV"]["size_kw"] + total_PV_energy_produced_minus_curtailment_first_year = total_PV_energy_produced_minus_curtailment_first_year + + (results[node_temp]["PV"]["year_one_energy_produced_kwh"] - sum(results[node_temp]["PV"]["electric_curtailed_series_kw"]/Multinode_Inputs.time_steps_per_hour)) + end + if "ElectricStorage" in keys(results[node_temp]) + total_electric_storage_size_kw = total_electric_storage_size_kw + results[node_temp]["ElectricStorage"]["size_kw"] + total_electric_storage_size_kwh = total_electric_storage_size_kwh + results[node_temp]["ElectricStorage"]["size_kwh"] + end + if "Generator" in keys(results[node_temp]) + total_generator_size_kw = total_generator_size_kw + results[node_temp]["Generator"]["size_kw"] + end + end + + if Multinode_Inputs.model_line_upgrades + line_upgrade_costs = value.(model[:total_line_upgrade_cost]) + else + line_upgrade_costs = 0 + end + + system_results["total_lifecycle_cost"] = value.(model[Symbol("Costs")]) + system_results["total_lifecycle_capital_cost"] = total_lifecycle_capital_cost + line_upgrade_costs + system_results["total_initial_capital_costs"] = total_initial_capital_costs + line_upgrade_costs + system_results["total_initial_capital_costs_after_incentives"] = total_initial_capital_costs_after_incentives + line_upgrade_costs # no incentives are modeled for line upgrades + system_results["total_lifecycle_storage_capital_cost"] = total_lifecycle_storage_capital_costs + system_results["total_line_upgrade_cost"] = line_upgrade_costs + system_results["total_PV_size_kw"] = total_PV_size_kw + system_results["total_PV_energy_produced_minus_curtailment_first_year"] = total_PV_energy_produced_minus_curtailment_first_year + system_results["total_electric_storage_size_kw"] = total_electric_storage_size_kw + system_results["total_electric_storage_size_kwh"] = total_electric_storage_size_kwh + system_results["total_generator_size_kw"] = total_generator_size_kw + + if (system_results_BAU != "") && (system_results_BAU != "none") + system_results["net_present_value"] = system_results_BAU["total_lifecycle_cost"] - value.(model[Symbol("Costs")]) + else + system_results["net_present_value"] = "Not calculated" + end + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + DataFrame_BusVoltages_Summary, per_unit_voltages, minimum_voltage, average_voltage, maximum_voltage = VoltageResultsSummary(PMD_Results) + end + + # Generate a csv file with outputs from the model if the "generate_CSV_of_outputs" field is set to true + if system_results_BAU != "" + if Multinode_Inputs.generate_CSV_of_outputs == true + @info "Generating CSV of outputs" + DataLabels = [] + Data = [] + + LineFromSubstationToFacilityMeter = Multinode_Inputs.substation_line # "line"*Multinode_Inputs.substation_node * "_" * Multinode_Inputs.facilitymeter_node + + if Multinode_Inputs.model_type == "PowerModelsDistribution" + + PMD_MaximumPowerOnsubstation_line_ActivePower = (round(maximum(PMD_Dictionary_LineFlow_Power_Series[lowercase(LineFromSubstationToFacilityMeter)]["ActiveLineFlow"]), digits = 1)) + PMD_MinimumPowerOnsubstation_line_ActivePower = (round(minimum(PMD_Dictionary_LineFlow_Power_Series[lowercase(LineFromSubstationToFacilityMeter)]["ActiveLineFlow"]), digits = 1)) + PMD_AveragePowerOnsubstation_line_ActivePower = (round(mean(PMD_Dictionary_LineFlow_Power_Series[lowercase(LineFromSubstationToFacilityMeter)]["ActiveLineFlow"]), digits = 1)) + + warning_PMD_MaximumPowerOnsubstation_line_ReactivePower = "" + warning_PMD_MinimumPowerOnsubstation_line_ReactivePower = "" + + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + PMD_MaximumPowerOnsubstation_line_ReactivePower = (round(maximum(PMD_Dictionary_LineFlow_Power_Series[lowercase(LineFromSubstationToFacilityMeter)]["ReactiveLineFlow"]), digits = 6)) + PMD_MinimumPowerOnsubstation_line_ReactivePower = (round(minimum(PMD_Dictionary_LineFlow_Power_Series[lowercase(LineFromSubstationToFacilityMeter)]["ReactiveLineFlow"]), digits = 6)) + PMD_AveragePowerOnsubstation_line_ReactivePower = (round(mean(PMD_Dictionary_LineFlow_Power_Series[lowercase(LineFromSubstationToFacilityMeter)]["ReactiveLineFlow"]), digits = 6)) + + # Generate warnings if the reactive power support from the substation is larger than 1 kW or smaller than -1 kW, because this is power that is not generated by REopt nodes (which is more relevant if the system is off-grid or the reactive power support occurs during a grid outage) + if PMD_MaximumPowerOnsubstation_line_ReactivePower >= 1 + warning_PMD_MinimumPowerOnsubstation_line_ReactivePower = "Warning: greater than 1kW (multi-node does not model meeting reactive power demand)" + @warn("The maximum reactive power support from the substation is greater than 1 kW") + end + + if PMD_MinimumPowerOnsubstation_line_ReactivePower <= -1 + warning_PMD_MinimumPowerOnsubstation_line_ReactivePower = "Warning: less than -1kW (multi-node does not model meeting reactive power demand)" + @warn("The maximum reactive power support from the substation is less than -1 kW") + end + else + PMD_MaximumPowerOnsubstation_line_ReactivePower = "N/A" + PMD_MinimumPowerOnsubstation_line_ReactivePower = "N/A" + PMD_AveragePowerOnsubstation_line_ReactivePower = "N/A" + end + end + + # Add system-level results + ComputationTime_EntireModel_Milliseconds, ComputationTime_EntireModel_Minutes = CalculateComputationTime(start_time_entire_model) + + push!(DataLabels, "----Optimization Parameters----") + push!(Data,"") + push!(DataLabels, " Number of Variables") + push!(Data, length(all_variables(model))) + push!(DataLabels, " Computation time, including the BAU model and the outage simulator if used (minutes)") + push!(Data, round(ComputationTime_EntireModel_Minutes, digits=2)) + push!(DataLabels, " Model solve time (minutes)" ) + push!(Data, round(JuMP.solve_time(model)/60, digits = 2)) + + if Multinode_Inputs.run_BAU_case + push!(DataLabels, " BAU model solve time (minutes)" ) + push!(Data, round(JuMP.solve_time(bau_model)/60, digits = 2)) + end + if Multinode_Inputs.run_outage_simulator + push!(DataLabels, " Total outage simulation time (minutes)") + push!(Data, outage_simulator_time) + end + + push!(DataLabels, "----Model Information----") + push!(Data,"") + push!(DataLabels," Number of Phases (input)") + push!(Data, Multinode_Inputs.number_of_phases) + push!(DataLabels," Multinode Type (input)") + push!(Data, Multinode_Inputs.multinode_type) + push!(DataLabels," Model Type (input)") + push!(Data, Multinode_Inputs.model_type) + push!(DataLabels," Model Subtype (input)") + push!(Data, Multinode_Inputs.model_subtype) + + push!(DataLabels, "----Model Diagnostics----") + push!(Data,"") + if Multinode_Inputs.allow_bus_voltage_violations + push!(DataLabels," Number of Bus Voltage Violations") + push!(Data, sum(value.(model[Symbol("binBusVoltageViolation")]).data)) + else + push!(DataLabels," No diagnostics were run") + push!(Data, "") + end + + push!(DataLabels, "----System Results----") + push!(Data,"") + push!(DataLabels," Total Lifecycle Cost (LCC)") + push!(Data, round(system_results["total_lifecycle_cost"], digits=0)) + push!(DataLabels," Total Lifecycle Capital Cost (LCCC)") + push!(Data, round(system_results["total_lifecycle_capital_cost"], digits=0)) + + if Multinode_Inputs.run_BAU_case + push!(DataLabels," Net Present Value (NPV)") + push!(Data, round(system_results["net_present_value"], digits=0)) + end + + push!(DataLabels," Total initial capital costs") + push!(Data, round(system_results["total_initial_capital_costs"],digits=0)) + push!(DataLabels," Total initial capital costs after incentives") + push!(Data, round(system_results["total_initial_capital_costs_after_incentives"],digits=0)) + + push!(DataLabels," Total lifecycle storage capital cost") + push!(Data, round(system_results["total_lifecycle_storage_capital_cost"],digits=0)) + push!(DataLabels," Total line upgrade costs") + push!(Data, round(system_results["total_line_upgrade_cost"],digits=0)) + + push!(DataLabels," Total PV size kw") + push!(Data, round(system_results["total_PV_size_kw"],digits=0)) + + push!(DataLabels," Total PV energy produced minus curtailment first year") + push!(Data, round(system_results["total_PV_energy_produced_minus_curtailment_first_year"],digits=0)) + push!(DataLabels," Total electric storage size kw") + push!(Data, round(system_results["total_electric_storage_size_kw"],digits=0)) + + push!(DataLabels," Total electric storage size kwh") + push!(Data, round(system_results["total_electric_storage_size_kwh"],digits=0)) + push!(DataLabels," Total generator size kw") + push!(Data, round(system_results["total_generator_size_kw"],digits=0)) + + push!(DataLabels, "----Power Flow Model Results----") + push!(Data, "") + + push!(DataLabels," Total Number of PMD timesteps, based on the user input") + push!(Data, length(PMD_Results["nw"]) ) + + if Multinode_Inputs.number_of_phases == 1 + push!(DataLabels," Minimum per unit bus voltage") + push!(Data, minimum_voltage) + push!(DataLabels," Average per unit bus voltage") + push!(Data, average_voltage) + push!(DataLabels," Maximum per unit bus voltage") + push!(Data, maximum_voltage) + else + push!(DataLabels," Voltage post processing does not currently work for three-phase systems") + push!(Data, "") + end + + push!(DataLabels," From PMD: Maximum power flow on substation line, Active Power kW") + push!(Data, PMD_MaximumPowerOnsubstation_line_ActivePower) + push!(DataLabels," From PMD: Minimum power flow on substation line, Active Power kW") + push!(Data, PMD_MinimumPowerOnsubstation_line_ActivePower) + push!(DataLabels," From PMD: Average power flow on substation line, Active Power kW") + push!(Data, PMD_AveragePowerOnsubstation_line_ActivePower) + + push!(DataLabels," From PMD: Maximum power flow on substation line, Reactive Power kVAR") + push!(Data, string(PMD_MaximumPowerOnsubstation_line_ReactivePower) * warning_PMD_MaximumPowerOnsubstation_line_ReactivePower) + push!(DataLabels," From PMD: Minimum power flow on substation line, Reactive Power kVAR") + push!(Data, string(PMD_MinimumPowerOnsubstation_line_ReactivePower) * warning_PMD_MinimumPowerOnsubstation_line_ReactivePower) + push!(DataLabels," From PMD: Average power flow on substation line, Reactive Power kVAR") + push!(Data, PMD_AveragePowerOnsubstation_line_ReactivePower) + + if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + push!(DataLabels," From Simple Powerflow Model: Maximum power flow on substation line, Active Power kW") + push!(Data, round(maximum(simple_powerflow_model_results["lines"][lowercase(LineFromSubstationToFacilityMeter)]["line_power_flow_series"]),digits=0) ) + push!(DataLabels," From Simple Powerflow Model: Minimum power flow on substation line, Active Power kW") + push!(Data, round(minimum(simple_powerflow_model_results["lines"][lowercase(LineFromSubstationToFacilityMeter)]["line_power_flow_series"]),digits=0)) + push!(DataLabels," From Simple Powerflow Model: Average power flow on substation line, Active Power kW") + push!(Data, round(mean(simple_powerflow_model_results["lines"][lowercase(LineFromSubstationToFacilityMeter)]["line_power_flow_series"]),digits=0)) + end + + # Add the multinode outage results to the dataframe + push!(DataLabels, "----Multinode Outage Simulator Results----") + push!(Data, "") + if Multinode_Inputs.run_outage_simulator == true + push!(DataLabels, " Allowed dropped load?") + push!(Data, Multinode_Inputs.allow_dropped_load) + for i in 1:length(Multinode_Inputs.length_of_simulated_outages_time_steps) + OutageLength = Multinode_Inputs.length_of_simulated_outages_time_steps[i] + push!(DataLabels, " --Outage Length: $(OutageLength) time steps--") + push!(Data, "") + push!(DataLabels, " Percent of Outages Survived") + push!(Data, string(Outage_Results["$(OutageLength)_timesteps_outage"]["PercentSurvived"])*" %") + push!(DataLabels, " Total Number of Outages Tested") + push!(Data, Outage_Results["$(OutageLength)_timesteps_outage"]["NumberOfRuns"]) + push!(DataLabels, " Total Number of Outages Survived") + push!(Data, Outage_Results["$(OutageLength)_timesteps_outage"]["NumberOfOutagesSurvived"]) + if Multinode_Inputs.allow_dropped_load + push!(DataLabels, " Average Load Met Fraction") + push!(Data, round(Outage_Results["$(OutageLength)_timesteps_outage"]["dropped_load_results"]["average_load_met_fraction"], digits=5)) + end + end + else + push!(DataLabels,"Outage modeling was not run") + push!(Data,"") + end + + # Add results for each REopt node + push!(DataLabels, "----REopt Results for Each Node----") + push!(Data, "") + + for n in InputsList + NodeNumberTempB = n["Site"]["node"] + InputsDictionary = Dict[] # reset the inputs dictionary to an empty dictionary before redefining + InputsDictionary = n + push!(DataLabels, "----Node $(NodeNumberTempB)----") + push!(Data, "") + + if "PV" in keys(results[NodeNumberTempB]) + push!(DataLabels, " PV Size (kw)") + push!(Data, results[NodeNumberTempB]["PV"]["size_kw"]) + push!(DataLabels, " Min and Max PV sizing input, kW") + push!(Data, string(InputsDictionary["PV"]["min_kw"])*" and "*string(InputsDictionary["PV"]["max_kw"])) + + push!(DataLabels, " Max PV Power Curtailed: ") + push!(Data, round(maximum(results[NodeNumberTempB]["PV"]["electric_curtailed_series_kw"]), digits =2)) + push!(DataLabels, " Max PV Power Exported to Grid from node: ") + push!(Data,round(maximum(results[NodeNumberTempB]["PV"]["electric_to_grid_series_kw"]), digits =2)) + else + push!(DataLabels, " PV") + push!(Data, " None") + end + + if "Generator" in keys(results[NodeNumberTempB]) + push!(DataLabels, " Generator (kw)") + push!(Data, round(results[NodeNumberTempB]["Generator"]["size_kw"], digits =2)) + + push!(DataLabels, " Maximum generator power to load (kW): ") + push!(Data, round(maximum(results[NodeNumberTempB]["Generator"]["electric_to_load_series_kw"].data), digits =2)) + push!(DataLabels, " Average generator power to load (kW): ") + push!(Data, round(mean(results[NodeNumberTempB]["Generator"]["electric_to_load_series_kw"].data), digits =2)) + + push!(DataLabels, " Maximum generator power to grid (kW): ") + push!(Data, round(maximum(results[NodeNumberTempB]["Generator"]["electric_to_grid_series_kw"].data), digits =2)) + push!(DataLabels, " Minimum generator power to grid (kW): ") + push!(Data, round(minimum(results[NodeNumberTempB]["Generator"]["electric_to_grid_series_kw"].data), digits =2)) + + push!(DataLabels, " Average generator power to grid (kW): ") + push!(Data, round(mean(results[NodeNumberTempB]["Generator"]["electric_to_grid_series_kw"].data), digits =2)) + else + push!(DataLabels, " Generator") + push!(Data, " None") + end + if "ElectricStorage" in keys(results[NodeNumberTempB]) + if results[NodeNumberTempB]["ElectricStorage"]["size_kw"] > 0 + push!(DataLabels, " Battery Power (kW)") + push!(Data, round(results[NodeNumberTempB]["ElectricStorage"]["size_kw"], digits =2)) + push!(DataLabels, " Battery Capacity (kWh)") + push!(Data, round(results[NodeNumberTempB]["ElectricStorage"]["size_kwh"], digits =2)) + + push!(DataLabels, " Average Battery SOC (fraction): ") + push!(Data, round(mean(results[NodeNumberTempB]["ElectricStorage"]["soc_series_fraction"]), digits =2)) + push!(DataLabels, " Minimum Battery SOC (fraction): ") + push!(Data, round(minimum(results[NodeNumberTempB]["ElectricStorage"]["soc_series_fraction"]), digits =2)) + + push!(DataLabels, " Average battery to load (kW): ") + push!(Data, round(mean(results[NodeNumberTempB]["ElectricStorage"]["storage_to_load_series_kw"]), digits =2)) + push!(DataLabels, " Maximum battery to load (kW): ") + push!(Data, round(maximum(results[NodeNumberTempB]["ElectricStorage"]["storage_to_load_series_kw"]), digits =2)) + + push!(DataLabels, " Average battery to grid (kW): ") + push!(Data, round(mean(results[NodeNumberTempB]["ElectricStorage"]["storage_to_grid_series_kw"]), digits =2)) + push!(DataLabels, " Maximum battery to grid (kW): ") + push!(Data, round(maximum(results[NodeNumberTempB]["ElectricStorage"]["storage_to_grid_series_kw"]), digits =2)) + else + push!(DataLabels, " Battery") + push!(Data, " None") + end + else + push!(DataLabels, " Battery") + push!(Data, " None") + end + end + + # Save the results summary dataframe as a csv document + dataframe_results = DataFrame(Labels = DataLabels, Data = Data) + CSV.write(Multinode_Inputs.folder_location*"/results_"*TimeStamp*"/Results_Summary_"*TimeStamp*".csv", dataframe_results) + + # Save the Line Flow summary to a different csv + CSV.write(Multinode_Inputs.folder_location*"/results_"*TimeStamp*"/PMD_Results_Line_Powerflow_Summary_"*TimeStamp*".csv", DataFrame_LineFlow_Summary) + + # Save the bus voltage summary to a different csv + if Multinode_Inputs.model_subtype != "NFAUPowerModel" + CSV.write(Multinode_Inputs.folder_location*"/results_"*TimeStamp*"/PMD_Results_Bus_Voltages_Summary_"*TimeStamp*".csv", DataFrame_BusVoltages_Summary) + end + + # Save the transformer upgrade results to a csv + if Multinode_Inputs.model_transformer_upgrades + CSV.write(Multinode_Inputs.folder_location*"/results_"*TimeStamp*"/Results_Transformer_Upgrade_Summary_"*TimeStamp*".csv", dataframe_transformer_upgrade_summary) + end + + # Generate CSV summarizing the line power flow for each line + line_powerflow_data = DataFrame() + + line_powerflow_data[!,"REopt_time_steps"] = Multinode_Inputs.PMD_time_steps # Note: The PMD_time_steps input is expressed in REopt time steps + line_powerflow_data[!,"PMD_time_steps"] = collect(1:length(Multinode_Inputs.PMD_time_steps)) + + for line_data in keys(PMD_Dictionary_LineFlow_Power_Series) + for data_subtype in keys(PMD_Dictionary_LineFlow_Power_Series[line_data]) + if (data_subtype == "ActiveLineFlow") || (data_subtype == "ReactiveLineFlow") + OptionalNameAddition = "CombinedPhases_" + else + OptionalNameAddition = "" + end + line_phase_name = line_data*"_"*OptionalNameAddition*data_subtype + + if length(PMD_Dictionary_LineFlow_Power_Series[line_data][data_subtype]) > 0 + line_powerflow_data[!,line_phase_name] = PMD_Dictionary_LineFlow_Power_Series[line_data][data_subtype] + else + line_powerflow_data[!,line_phase_name] = zeros(length(Multinode_Inputs.PMD_time_steps)) + end + + end + end + + line_powerflow_data = line_powerflow_data[:,sortperm(names(line_powerflow_data))] # Sort the dataframe by the header title + + CSV.write(Multinode_Inputs.folder_location*"/results_"*TimeStamp*"/PMD_Results_Line_Powerflow_Data_"*TimeStamp*".csv", line_powerflow_data) + + end + + end + return system_results +end + + +function combine_PMD_and_simple_powerflow_results(Multinode_Inputs, m, data_eng, PMD_Dictionary_LineFlow_Power_Series, simple_powerflow_model_results) + # This function combines the powerflow results from the PMD model and the simple powerflow model + phases_for_each_line = create_dictionary_of_phases_for_each_line(data_eng) + simplified_powerflow_model_timesteps, REoptTimeSteps, time_steps_without_PMD, time_steps_with_PMD = determine_timestep_information(Multinode_Inputs, m, data_eng, phases_for_each_line) + + lines = collect(keys(data_eng["line"])) + + all_line_powerflows = Dict([]) + + for line in lines + + ActivePowerFlow_line_temp = [] + ReactivePowerFlow_line_temp = [] + + ActivePowerFlow_line_Phase1_temp = [] + ActivePowerFlow_line_Phase2_temp = [] + ActivePowerFlow_line_Phase3_temp = [] + ReactivePowerFlow_line_Phase1_temp = [] + ReactivePowerFlow_line_Phase2_temp = [] + ReactivePowerFlow_line_Phase3_temp = [] + power_flow_model_at_timesteps = [] + + for timestep in collect(1:Int(Multinode_Inputs.time_steps_per_hour * 8760)) + + if timestep in time_steps_with_PMD + + timestep_in_PMD_model = findall(x->x== timestep, time_steps_with_PMD)[1] + + push!(ActivePowerFlow_line_temp, PMD_Dictionary_LineFlow_Power_Series[line]["ActiveLineFlow"][timestep_in_PMD_model]) + push!(ReactivePowerFlow_line_temp, PMD_Dictionary_LineFlow_Power_Series[line]["ReactiveLineFlow"][timestep_in_PMD_model]) + + (length(PMD_Dictionary_LineFlow_Power_Series[line]["Phase1_ActiveLineFlow"]) > 0) ? push!(ActivePowerFlow_line_Phase1_temp, PMD_Dictionary_LineFlow_Power_Series[line]["Phase1_ActiveLineFlow"][timestep_in_PMD_model]) : push!(ActivePowerFlow_line_Phase1_temp,"N/A") + (length(PMD_Dictionary_LineFlow_Power_Series[line]["Phase2_ActiveLineFlow"]) > 0) ? push!(ActivePowerFlow_line_Phase2_temp, PMD_Dictionary_LineFlow_Power_Series[line]["Phase2_ActiveLineFlow"][timestep_in_PMD_model]) : push!(ActivePowerFlow_line_Phase2_temp,"N/A") + (length(PMD_Dictionary_LineFlow_Power_Series[line]["Phase3_ActiveLineFlow"]) > 0) ? push!(ActivePowerFlow_line_Phase3_temp, PMD_Dictionary_LineFlow_Power_Series[line]["Phase3_ActiveLineFlow"][timestep_in_PMD_model]) : push!(ActivePowerFlow_line_Phase3_temp,"N/A") + (length(PMD_Dictionary_LineFlow_Power_Series[line]["Phase1_ReactiveLineFlow"]) > 0) ? push!(ReactivePowerFlow_line_Phase1_temp, PMD_Dictionary_LineFlow_Power_Series[line]["Phase1_ReactiveLineFlow"][timestep_in_PMD_model]) : push!(ReactivePowerFlow_line_Phase1_temp,"N/A") + (length(PMD_Dictionary_LineFlow_Power_Series[line]["Phase2_ReactiveLineFlow"]) > 0) ? push!(ReactivePowerFlow_line_Phase2_temp, PMD_Dictionary_LineFlow_Power_Series[line]["Phase2_ReactiveLineFlow"][timestep_in_PMD_model]) : push!(ReactivePowerFlow_line_Phase2_temp,"N/A") + (length(PMD_Dictionary_LineFlow_Power_Series[line]["Phase3_ReactiveLineFlow"]) > 0) ? push!(ReactivePowerFlow_line_Phase3_temp, PMD_Dictionary_LineFlow_Power_Series[line]["Phase3_ReactiveLineFlow"][timestep_in_PMD_model]) : push!(ReactivePowerFlow_line_Phase3_temp,"N/A") + + push!(power_flow_model_at_timesteps, "PMD") + + elseif (timestep in time_steps_without_PMD) && (Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD) + timestep_in_simple_powerflow_model = findall(x->x== timestep, time_steps_without_PMD)[1] + push!(ActivePowerFlow_line_temp, simple_powerflow_model_results["lines"][line]["line_power_flow_series"][timestep_in_simple_powerflow_model]) + push!(ReactivePowerFlow_line_temp, "No reactive power in the simple powerflow model") + + push!(ActivePowerFlow_line_Phase1_temp, "To do: add individual phase reporting for the simple powerflow model") + push!(ActivePowerFlow_line_Phase2_temp, "To do: add individual phase reporting for the simple powerflow model") + push!(ActivePowerFlow_line_Phase3_temp, "To do: add individual phase reporting for the simple powerflow model") + push!(ReactivePowerFlow_line_Phase1_temp, "No reactive power in the simple powerflow model") + push!(ReactivePowerFlow_line_Phase2_temp, "No reactive power in the simple powerflow model") + push!(ReactivePowerFlow_line_Phase3_temp, "No reactive power in the simple powerflow model") + + push!(power_flow_model_at_timesteps, "simplified_powerflow_model") + else + push!(ActivePowerFlow_line_temp, "No powerflow model at this time step") + push!(ReactivePowerFlow_line_temp, "No powerflow model at this time step") + + push!(ActivePowerFlow_line_Phase1_temp, "No powerflow model at this time step") + push!(ActivePowerFlow_line_Phase2_temp, "No powerflow model at this time step") + push!(ActivePowerFlow_line_Phase3_temp, "No powerflow model at this time step") + push!(ReactivePowerFlow_line_Phase1_temp, "No powerflow model at this time step") + push!(ReactivePowerFlow_line_Phase2_temp, "No powerflow model at this time step") + push!(ReactivePowerFlow_line_Phase3_temp, "No powerflow model at this time step") + + push!(power_flow_model_at_timesteps, "no powerflow model") + end + end + + if Int(length(ActivePowerFlow_line_temp)) != Int(Multinode_Inputs.time_steps_per_hour * 8760) + throw(@error("Error in processing the powerflow results")) + end + + all_line_powerflows_temp = Dict([(line, Dict([ + ("ActiveLineFlow", ActivePowerFlow_line_temp), + ("ReactiveLineFlow", ReactivePowerFlow_line_temp), + ("Phase1_ActiveLineFlow", ActivePowerFlow_line_Phase1_temp), + ("Phase2_ActiveLineFlow", ActivePowerFlow_line_Phase2_temp), + ("Phase3_ActiveLineFlow", ActivePowerFlow_line_Phase3_temp), + ("Phase1_ReactiveLineFlow", ReactivePowerFlow_line_Phase1_temp), + ("Phase2_ReactiveLineFlow", ReactivePowerFlow_line_Phase2_temp), + ("Phase3_ReactiveLineFlow", ReactivePowerFlow_line_Phase3_temp), + ("power_flow_model_at_timesteps", power_flow_model_at_timesteps) + ])) + ]) + + merge!(all_line_powerflows, all_line_powerflows_temp) + + end + + return all_line_powerflows +end + + +function determine_timestep_information(Multinode_Inputs, m, data_eng, phases_for_each_line) + + if Multinode_Inputs.apply_simple_powerflow_model_to_timesteps_that_do_not_use_PMD + line_to_use_to_collect_timesteps = collect(keys(data_eng["line"]))[1] + phase_to_use_to_collect_timesteps = phases_for_each_line[line_to_use_to_collect_timesteps][1] + simplified_powerflow_model_timesteps = collect(1:length(value.(m[:dvPline][line_to_use_to_collect_timesteps, phase_to_use_to_collect_timesteps, :]))) # the phase 1 might not always work # pull the total number of timesteps from the first line in the simplified powerflow model + else + simplified_powerflow_model_timesteps = "the simplified powerflow model was not used" + end + + REoptTimeSteps = collect(1:Int(8760* Multinode_Inputs.time_steps_per_hour)) + time_steps_without_PMD = setdiff(REoptTimeSteps, Multinode_Inputs.PMD_time_steps) + time_steps_with_PMD = Multinode_Inputs.PMD_time_steps + + return simplified_powerflow_model_timesteps, REoptTimeSteps, time_steps_without_PMD, time_steps_with_PMD +end + + +function process_simple_powerflow_results(Multinode_Inputs, m, data_eng, connections, connections_upstream, connections_downstream) + # Process the results from the simple powerflow model, which is applied to the time steps that the PMD model isn't applied to + + phases_for_each_line = create_dictionary_of_phases_for_each_line(data_eng) + phases_for_each_bus = create_dictionary_of_phases_for_each_bus(data_eng) + + simplified_powerflow_model_timesteps, REoptTimeSteps, time_steps_without_PMD, time_steps_with_PMD = determine_timestep_information(Multinode_Inputs, m, data_eng, phases_for_each_line) + + if length(time_steps_without_PMD) != length(simplified_powerflow_model_timesteps) + throw(@error("The lengths of the time step arrays should be the same. This indicates that there is an issue with how the simple powerflow model and/or PMD model was formulated.")) + end + + timesteps = collect(1:length(time_steps_without_PMD)) # axes(m[:dvPline],3) + + simple_powerflow_line_results = Dict() + lines = collect(keys(data_eng["line"])) + for line in lines + #line_power_flow_series = sum(value.(m[:dvPline][line,phase,:].data) for phase in phases_for_each_line[line]) + + line_power_flow_series = zeros(length(time_steps_without_PMD)) + + for phase in phases_for_each_line[line] + values = value.(m[:dvPline][line, phase, :]) + line_power_flow_series += [values[i] for i in timesteps] + end + + simple_powerflow_line_results[line] = Dict("line_power_flow_series" => line_power_flow_series, + "line_maximum_power_flow" => maximum(line_power_flow_series), + "line_average_power_flow" => mean(line_power_flow_series), + "line_minimum_power_flow" => minimum(line_power_flow_series), + "associated_REopt_timesteps" => time_steps_without_PMD, + "simplified_powerflow_model_timesteps" => simplified_powerflow_model_timesteps + ) + # Add power flow results for individual phases + individual_phase_results=Dict([]) + for phase in phases_for_each_line[line] + individual_phase_results["phase_$(phase)"] = value.(m[:dvPline][line,phase,:]) + end + simple_powerflow_line_results[line]["individual_phase_results"] = individual_phase_results + end + + simple_powerflow_bus_results = Dict() + #busses = axes(m[:dvP][:,:,1])[1] # sounds like this line will error + + busses = unique(first.(collect(keys(m[:dvP][:,:,1].data)))) # something to extract all of the indeces in the first index of dvP + + # Adjust the phases associated with the sourcebus because in the PMD model the sourcebus will have three phases, even if the rest of the components on the system are single phase + if Multinode_Inputs.number_of_phases == 3 + # Do nothing because the phases_for_each_bus["sourcebus"] should already be [1,2,3] by default + elseif Multinode_Inputs.number_of_phases == 2 + phases_for_each_bus["sourcebus"] = [1,2] + elseif Multinode_Inputs.number_of_phases == 1 + phases_for_each_bus["sourcebus"] = [1] + else + throw(@error("The input for the number_of_phases is invalid.")) + end + + #dvP_values = value.(m[:dvP][bus,:,:]) + print("\n") + for bus in busses + if Multinode_Inputs.display_information_during_modeling_run + print(" For bus $(bus) the phases are:") + print(phases_for_each_bus[string(bus)]) + end + + dvP_values = value.(m[:dvP][bus,:,:]).data + + #bus_power_series = sum(value.(m[:dvP][bus, phase, :].data) for phase in phases_for_each_bus[string(bus)]) + bus_power_series = zeros(Float64, length(time_steps_without_PMD)) + + for ((_,j), val) in dvP_values + bus_power_series[j] += val + end + + #sum(dvP_values[phase, :] for phase in phases_for_each_bus[bus]) + simple_powerflow_bus_results[bus] = Dict("bus_power_series" => bus_power_series, + "bus_maximum_power" => maximum(bus_power_series), + "bus_average_power" => mean(bus_power_series), + "bus_minimum_power" => minimum(bus_power_series), + "associated_REopt_timesteps" => time_steps_without_PMD, + "simplified_powerflow_model_timesteps" => simplified_powerflow_model_timesteps + ) + end + print("\n") + + simple_powerflow_results = Dict("lines" => simple_powerflow_line_results, + "busses" => simple_powerflow_bus_results, + "all_bus_line_connections" => connections, + "downstream_bus_line_connections" => connections_downstream, + "upstream_bus_line_connections" => connections_upstream) + + return simple_powerflow_results +end + + +function process_model_diagnostics_bus_voltage_violations(Multinode_Inputs, pm) + model = pm.model + + bus_voltage_violation_results = Dict() + + BusInfo = create_bus_info_dictionary(pm) + bus_names = collect(keys(BusInfo)) + PMD_time_steps = collect(1:length(Multinode_Inputs.PMD_time_steps)) + + for bus_name in bus_names + for PMD_time_step in PMD_time_steps + bin_value = value.(model[Symbol("binBusVoltageViolation")][bus_name, PMD_time_step]) + if bin_value == 1 + REoptTimeStep = Multinode_Inputs.PMD_time_steps[PMD_time_step] + + if string("node_"*bus_name) in keys(bus_voltage_violation_results) + entry_to_add_temp = Dict(REoptTimeStep => Dict("associated_PMD_time_step" => PMD_time_step, "per_unit_voltage" => "To add")) # Note: Multinode_Inputs.PMD_time_steps[PMD_time_step] converts the timestep from the PMD timestep (expressed in PMD timesteps) to the PMD timestep (expressed in REopt timesteps) + bus_voltage_violation_results[string("node_"*bus_name)] = merge!(bus_voltage_violation_results[string("node_"*bus_name)], entry_to_add_temp) + else + bus_voltage_violation_results[string("node_"*bus_name)] = Dict(REoptTimeStep => Dict("associated_PMD_time_step" => PMD_time_step, "per_unit_voltage" => "To add")) + end + + if "REopt_timesteps_with_bus_voltage_violations" in keys(bus_voltage_violation_results) + if REoptTimeStep in bus_voltage_violation_results["REopt_timesteps_with_bus_voltage_violations"] + # Do nothing because the time step is already listed in the array + else + push!(bus_voltage_violation_results["REopt_timesteps_with_bus_voltage_violations"], REoptTimeStep) + end + else + bus_voltage_violation_results["REopt_timesteps_with_bus_voltage_violations"] = [REoptTimeStep] + end + + end + end + end + + return bus_voltage_violation_results +end + + +function VoltageResultsSummary(results) + + DataFrame_BusVoltages = DataFrame(fill(Any[],4), [:Bus, :minimum_pu_voltage, :Average_pu_voltage, :maximum_pu_voltage ]) + per_unit_voltages = Dict([]) + bus_voltage_minimums = [] + bus_voltage_averages = [] + bus_voltage_maximums = [] + for bus in keys(results["nw"]["1"]["bus"]) # read all of the line names from the first time step + Data_BusVoltages = zeros(3) + per_unit_voltages[bus] = [] + for timestep in collect(keys(results["nw"])) + if "w" in keys(results["nw"][string(timestep)]["bus"][bus]) + per_unit_voltages[bus] = push!(per_unit_voltages[bus], sqrt(results["nw"][string(timestep)]["bus"][bus]["w"][1])) + elseif "Wr" in keys(results["nw"][string(timestep)]["bus"][bus]) + per_unit_voltages[bus] = push!(per_unit_voltages[bus], sqrt(results["nw"][string(timestep)]["bus"][bus]["Wr"][1][1])) # TODO: figure out what "Wi" is in the results when using the SOCNLPUBFPowerModel model + else + throw(@error("Bus voltage results data is not available")) + end + end + + Data_BusVoltages[1] = round(minimum(per_unit_voltages[bus][:]), digits = 6) + Data_BusVoltages[2] = round(mean(per_unit_voltages[bus][:]), digits = 6) + Data_BusVoltages[3] = round(maximum(per_unit_voltages[bus][:]), digits = 6) + + bus_voltage_minimums = push!(bus_voltage_minimums, Data_BusVoltages[1]) + bus_voltage_averages = push!(bus_voltage_averages, Data_BusVoltages[2]) + bus_voltage_maximums = push!(bus_voltage_maximums, Data_BusVoltages[3]) + + DataFrame_BusVoltages_temp = DataFrame([("Bus "*string(bus)) Data_BusVoltages[1] Data_BusVoltages[2] Data_BusVoltages[3] ], [:Bus, :minimum_pu_voltage, :Average_pu_voltage, :maximum_pu_voltage]) + DataFrame_BusVoltages = append!(DataFrame_BusVoltages, DataFrame_BusVoltages_temp) + end + + minimum_voltage = round(minimum(bus_voltage_minimums), digits=6) + average_voltage = round(mean(bus_voltage_averages), digits=6) + maximum_voltage = round(maximum(bus_voltage_maximums), digits=6) + + return DataFrame_BusVoltages, per_unit_voltages, minimum_voltage, average_voltage, maximum_voltage +end + + +function CollectMapInformation(results, Multinode_Inputs, all_lines_including_transformers_as_lines, lines_in_PMD, data_eng_lines, busses_in_PMD) + + if Multinode_Inputs.model_type == "PowerModelsDistribution" + lines = keys(results["Line_Info_PMD"]) + end + + # Extract the latitude and longitude for the busses + bus_coordinates_filename = Multinode_Inputs.bus_coordinates + data_input = CSV.read(bus_coordinates_filename, DataFrame, header =1) + + # Create a dictionary of the bus coordinates + number_of_entries_in_lat_long_file = size(data_input, 1) + busses_in_PMD_lowercase = lowercase.(busses_in_PMD) + bus_cords = Dict([]) + busses=[] + for row in collect(1:number_of_entries_in_lat_long_file) + bus = lowercase(data_input[row,:Bus]) + if bus in busses_in_PMD_lowercase + push!(busses, bus) + bus_cords[string(bus)] = [data_input[row,:Latitude], data_input[row,:Longitude]] + end + end + + # Create a dictionary of the line segment start and end coordinates + substation_cords = "N/A" + line_cords = Dict([]) + + # Convert all of the characters to lower case + bus_cords = Dict(lowercase(String(key)) => value for (key,value) in bus_cords) + + for line in all_lines_including_transformers_as_lines + if line in lines_in_PMD # for lines that are lines in PMD + line_cords[line] = [bus_cords[data_eng_lines[line]["f_bus"]], bus_cords[data_eng_lines[line]["t_bus"]]] + else # assume that the line is part of a transformer line + # transformer lines are represented with the syntax "xfmr_line_bus1_bus2" + line_interpretation = match(r"_([^_]+)_([^_]+)$", line) + bus1 = line_interpretation.captures[1] + bus2 = line_interpretation.captures[2] + + line_cords[line] = [bus_cords[bus1],bus_cords[bus2]] + end + end + + substation_cords = bus_cords[Multinode_Inputs.substation_node] + + bus_key_values = collect(keys(bus_cords)) + line_key_values = collect(keys(line_cords)) + +return bus_key_values, line_key_values, bus_cords, line_cords, busses, substation_cords + +end + +function CollectResultsByNode(results, busses) + + # Create a dictionary of the technology sizing at each node, which will be plotted on the map: + results_by_node = Dict([]) + for i in busses + if i in keys(results["REopt_results"]) + if "PV" in keys(results["REopt_results"][i]) + if results["REopt_results"][i]["PV"]["size_kw"] > 0 + PV = "PV: "*string(round(results["REopt_results"][i]["PV"]["size_kw"], digits=0))*"kW " + else + PV = "" + end + else + PV = "" + end + + if "Generator" in keys(results["REopt_results"][i]) + if results["REopt_results"][i]["Generator"]["size_kw"] > 0 + Generator = "Gen: "*string(round(results["REopt_results"][i]["Generator"]["size_kw"], digits=0))*"kW " + else + Generator = "" + end + else + Generator = "" + end + + if "ElectricStorage" in keys(results["REopt_results"][i]) + if results["REopt_results"][i]["ElectricStorage"]["size_kw"] > 0 + Battery = "Bat: "*string(round(results["REopt_results"][i]["ElectricStorage"]["size_kw"],digits=1))*"kW"*","*string(round(results["REopt_results"][i]["ElectricStorage"]["size_kwh"],digits=1))*"kWh " + else + Battery = "" + end + else + Battery = "" + end + + if PV != "" || Generator != "" || Battery != "" + punctuation = ": " + else + punctuation = "" + end + + results_by_node[lowercase(string(i))] = punctuation*PV*Generator*Battery + else + results_by_node[lowercase(string(i))] = "" + end + end + + return results_by_node +end + + +function DetermineOutageStartsAndEnds(Multinode_Inputs, outages_vector) + # From the list of outage timesteps, construct an array for the outage start times and outage end times by identifying groups of values + + outage_starts = [outages_vector[1]] + outage_ends = [] + + for i in collect(2:length(outages_vector)) + if (outages_vector[i] - outages_vector[i-1]) >= 2 + push!(outage_starts, outages_vector[i]) + push!(outage_ends, outages_vector[i-1]) + end + end + + # Make sure that the last value in the outage vector is part of the outage_ends array: + if outage_ends[length(outage_ends)] != outages_vector[length(outages_vector)] + push!(outage_ends, outages_vector[length(outages_vector)]) + end + # Convert to days: + outage_starts = outage_starts / (24 * Multinode_Inputs.time_steps_per_hour) + outage_ends = outage_ends / (24 * Multinode_Inputs.time_steps_per_hour) + return outage_starts, outage_ends +end + + +function DeterminePathToSourcebus(neighbors, Multinode_Inputs) + # Acknowledgement: This function was built with the assistance of ChatGPT + parent_dict = Dict() + path_dict = Dict() + substation_bus = Multinode_Inputs.substation_node #"sourcebus" + queue = [substation_bus] + visited = Dict() + visited[substation_bus] = true + + while !isempty(queue) + bus = popfirst!(queue) + for i in neighbors[bus] + if !haskey(visited, i) + visited[i] = true + parent_dict[i] = bus + push!(queue, i) + end + end + end + + for bus in keys(neighbors) + path = [] + current_bus = bus + while current_bus != substation_bus + push!(path, current_bus) + current_bus = parent_dict[current_bus] + end + push!(path, substation_bus) + path_dict[bus] = reverse(path) + end + + return path_dict +end + + +function DetermineDistanceFromSourcebus(Multinode_Inputs, data_eng) + neighbors = REopt.modified_calc_connected_components_eng(data_eng) + paths = REopt.DeterminePathToSourcebus(neighbors, Multinode_Inputs) + + # remove duplicate values if a key has duplicates + for (key, values) in neighbors + neighbors[key] = unique(values) + end + + #Multinode_Inputs = results["Multinode_Inputs"] + + line_names_to_sourcebus_dict = Dict() + lengths_to_sourcebus_dict = Dict() + + for i in keys(paths) + path = paths[i] + line_names_temp = [] + line_lengths_temp = [] + + for j in collect(1:(length(path)-1)) + firstnode = path[j] + if path[j] == "sourcebus" + firstnode = string(Multinode_Inputs.substation_node) + end + line_name = string("line"*firstnode*"_"*path[j+1]) + if haskey(data_eng["line"], line_name) + push!(line_names_temp, line_name) + push!(line_lengths_temp, data_eng["line"][line_name]["length"]) + end + end + line_names_to_sourcebus_dict[i] = line_names_temp + lengths_to_sourcebus_dict[i] = line_lengths_temp + end + + summed_lengths_to_sourcebus_dict = Dict() + for i in keys(lengths_to_sourcebus_dict) + if lengths_to_sourcebus_dict[i] != Any[] + summed_lengths_to_sourcebus_dict[i] = sum(lengths_to_sourcebus_dict[i]) + else + summed_lengths_to_sourcebus_dict[i] = 0 + end + end + + return summed_lengths_to_sourcebus_dict, lengths_to_sourcebus_dict, line_names_to_sourcebus_dict, paths, neighbors +end + + +function modified_calc_connected_components_eng(data; edges::Vector{<:String}=String["line", "switch", "transformer"], type::Union{Missing,String}=missing, check_enabled::Bool=true) #::Set{Set{String}} + # Acknowledgement: This function is based on code from the julia package PowerModelsDistribution + + @assert get(data, "data_model", PowerModelsDistribution.MATHEMATICAL) == PowerModelsDistribution.ENGINEERING + + active_bus = Dict{String,Dict{String,Any}}(x for x in data["bus"] if x.second["status"] == PowerModelsDistribution.ENABLED || !check_enabled) + active_bus_ids = Set{String}([i for (i,bus) in active_bus]) + + neighbors = Dict{String,Vector{String}}(i => [] for i in active_bus_ids) + for edge_type in edges + for (id, edge_obj) in get(data, edge_type, Dict{Any,Dict{String,Any}}()) + if edge_obj["status"] == PowerModelsDistribution.ENABLED || !check_enabled + if edge_type == "transformer" && haskey(edge_obj, "bus") + for f_bus in edge_obj["bus"] + for t_bus in edge_obj["bus"] + if f_bus != t_bus + push!(neighbors[f_bus], t_bus) + push!(neighbors[t_bus], f_bus) + end + end + end + else + if edge_type == "switch" && !ismissing(type) + if type == "load_blocks" + if edge_obj["dispatchable"] == PowerModelsDistribution.NO && edge_obj["state"] == PowerModelsDistribution.CLOSED + push!(neighbors[edge_obj["f_bus"]], edge_obj["t_bus"]) + push!(neighbors[edge_obj["t_bus"]], edge_obj["f_bus"]) + end + elseif type == "blocks" + if edge_obj["state"] == PowerModelsDistribution.CLOSED + push!(neighbors[edge_obj["f_bus"]], edge_obj["t_bus"]) + push!(neighbors[edge_obj["t_bus"]], edge_obj["f_bus"]) + end + end + else + push!(neighbors[edge_obj["f_bus"]], edge_obj["t_bus"]) + push!(neighbors[edge_obj["t_bus"]], edge_obj["f_bus"]) + end + end + end + end + end + + component_lookup = Dict(i => Set{String}([i]) for i in active_bus_ids) + touched = Set{String}() + + for i in active_bus_ids + if !(i in touched) + PowerModelsDistribution._cc_dfs(i, neighbors, component_lookup, touched) + end + end + + neighbors_with_keys_as_strings = Dict(string(key)=> value for (key, value) in neighbors) + + return neighbors_with_keys_as_strings +end + + +function Check_REopt_PMD_Alignment(m, PMD_results, node, line, phase) + # Compare the REopt and PMD results to ensure the models are linked + # Note the calculations below are only valid if there are not any REopt nodes or PMD loads downstream of the node being evaluated + + Node = node # This is for the REopt data + Line = line # This is for the PMD data + Phase = phase # This data is for the PMD data + + # Save REopt data to variables for comparison with PMD: + TotalExport = JuMP.value.(m[Symbol("TotalExport_"*string(Node))]) #[1] + TotalImport = JuMP.value.(m[Symbol("dvGridPurchase_"*string(Node))]) #[1] If needed, define the time step in the brackets appended to this line + REopt_power_injection = TotalImport - TotalExport + + # Save the power injection data from PMD into a vector for the line + PowerFlow_line = [] + for i in 1:length(PMD_results["nw"]) + push!(PowerFlow_line, PMD_results["nw"][string(i)]["line"][Line]["pf"][Phase]) # for other PMD formulations, the "pf" might be "Pf" instead + end + + # This calculation compares the power flow through the Line (From PMD), to the power injection into the Node (From REopt). If the PMD and REopt models are connected, this should be zero or very close to zero. + Mismatch_in_expected_powerflow = PowerFlow_line - REopt_power_injection[1:length(PMD_results["nw"])].data # This is only valid for the model with only one REopt load on node 1 + + # Visualize the mismatch to ensure the results are zero for each time step + Plots.plot(collect(1:length(PMD_results["nw"])), Mismatch_in_expected_powerflow) + Plots.xlabel!("Timestep") + Plots.ylabel!("Mismatch between REopt and PMD (kW)") + display(Plots.title!("REopt and PMD Mismatch: Node $(Node), Phase $(Phase)")) +end + diff --git a/src/multinode/multinode_utils.jl b/src/multinode/multinode_utils.jl new file mode 100644 index 000000000..ac3674af0 --- /dev/null +++ b/src/multinode/multinode_utils.jl @@ -0,0 +1,879 @@ +# REoptĀ®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE. + + +function run_PowerModelsDistribution_using_just_dss_file(dss_file_path::String, PMD_model_subtype::String, optimizer; options=[]) + #= + Information about this function + The PMD_model_subtype defines which model to run + "NFAUPowerModel_pf" will run the simplest type of model that looks only at feasibility of real power balance: run this model first when checking the model + "NFAUPowerModel_opf" + + The "options" input can be used to activate various debugging treatments + Adding "set_all_transformers_to_infinite_kVA" into the inputs vector sets all of the transformers to be able to handle infinite power + + =# + + eng_model = PowerModelsDistribution.parse_file(dss_file_path) + + # start of a section of code that was developed using assistance from AI + # Ensure that the slack bus can provide infinite power if the power maximum and minimum is not already defined + + for (k, v) in eng_model["voltage_source"] + n = length(v["connections"]) + if !haskey(v, "pg_lb") v["pg_lb"] = fill(-Inf, n) end + if !haskey(v, "pg_ub") v["pg_ub"] = fill( Inf, n) end + if !haskey(v, "qg_lb") v["qg_lb"] = fill(-Inf, n) end + if !haskey(v, "qg_ub") v["qg_ub"] = fill( Inf, n) end + end + + eng_model["settings"]["sbase_default"] = 0.001 # set sbase to 1 kVA + + if "set_all_transformers_to_infinite_kVA_and_detect_if_any_transformers_exceed_the_original_power_limit" in options + # save the original + + original_sm_ub = Dict(k => xfmr["sm_ub"] for (k, xfmr) in eng_model["transformer"] if haskey(xfmr, "sm_ub")) + + for (k, xfmr) in eng_model["transformer"] + xfmr["sm_ub"] = Inf + end + end + + # end of section that was developed using AI + + if PMD_model_subtype == "LPUBFDiagPowerModel" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.LPUBFDiagPowerModel, PowerModelsDistribution.build_mn_mc_opf) # Note: instantiate_mc_model automatically converts the "engineering" model into a "mathematical" model + elseif PMD_model_subtype == "NFAUPowerModel_pf" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.NFAUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + results = PowerModelsDistribution.solve_mc_pf(eng_model, PowerModelsDistribution.NFAUPowerModel, optimizer) + elseif PMD_model_subtype == "NFAUPowerModel_opf" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.NFAUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + results = PowerModelsDistribution.solve_mc_opf(eng_model, PowerModelsDistribution.NFAUPowerModel, optimizer) + + elseif PMD_model_subtype == "ACPUPowerModel" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.ACPUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif PMD_model_subtype == "ACRUPowerModel" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.ACRUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif PMD_model_subtype == "IVRUPowerModel" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.IVRUPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif PMD_model_subtype == "SOCNLPUBFPowerModel" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.SOCNLPUBFPowerModel, PowerModelsDistribution.build_mn_mc_opf) + elseif PMD_model_subtype == "SOCConicUBFPowerModel" + #pm = PowerModelsDistribution.instantiate_mc_model(data_math_mn, PowerModelsDistribution.SOCConicUBFPowerModel, PowerModelsDistribution.build_mn_mc_opf) + else + throw(@error("The PMD subtype is not valid")) + end + + + # start of a section of code that was developed using assistance from AI + if "set_all_transformers_to_infinite_kVA_and_detect_if_any_transformers_exceed_the_original_power_limit" in options + println("Overloaded transformers (flow > original kVA rating):") + found_any = false + sol_xfmrs = get(results["solution"], "transformer", Dict()) + for (k, rating) in original_sm_ub + sol_key = lowercase(k) # solution keys are lowercase + if haskey(sol_xfmrs, sol_key) + p = get(sol_xfmrs[sol_key], "p", nothing) + if p !== nothing + # p is [[winding1_phase_powers...], [winding2_phase_powers...]] + # Use winding 1 (primary) active power across all phases + flow_kw = maximum(abs.(p[1])) + if flow_kw > rating + pct = round(100 * flow_kw / rating, digits=1) + println(" Transformer $k: rating = $(round(rating, digits=1)) kVA, " * + "flow = $(round(flow_kw, digits=1)) kW ($pct% of rating)") + found_any = true + end + end + end + end + found_any || println(" None ā€” all transformers within rating.") + # end of section that was developed using AI + end + + return results +end + + +function combine_dss_files_into_aggregated_dss_file(folder, new_file_name, existing_dss_files_list) + # This function takes multiple separate dss files and combines them into one dss file + # note: this function was created with the assistance of ChatGPT + + # The order of the files in the existing_dss_files_list matters + + aggregated_file_path = folder * "/" * new_file_name # note: the new_file_name should have .dss appended to the end of the string + + open(aggregated_file_path, "w") do x + for file in existing_dss_files_list + filepath = folder*"/"* file + println(x) # this creates a new line + println(x, "! Data from filename: ", file) + println(x) + + for line in eachline(filepath) + println(x, line) + end + end + end + + return aggregated_file_path + +end + + +function prepare_dss_file_for_multinode(Multinode_Inputs_struct, folder, input_dss_filepath) + + # Convert the syntax "new object=" into simpler syntax + output_dss_filepath_object_syntax_processed = modify_object_syntax(input_dss_filepath, folder*"/"*"temp_object_syntax_modified.dss") + + # Process the reactors + output_dss_filepath_reactors_processed = process_reactors(output_dss_filepath_object_syntax_processed, folder*"/"*"temp_reactors_processed.dss") + + output_dss_filepath_redirects_removed = remove_redirect_lines(output_dss_filepath_reactors_processed, folder*"/"*"temp_redirects_removed.dss") + + output_dss_filepath_multiphase_split_into_multiple_lines = split_multiphase_loads_into_separate_lines(output_dss_filepath_redirects_removed, folder*"/"*"temp_multiphase_split_into_multiple_lines.dss") + + output_dss_filepath_loads_renamed_to_names_of_busses, load_map = rename_load_names_to_names_of_busses_with_phase_label(output_dss_filepath_multiphase_split_into_multiple_lines, folder*"/"*"temp_loads_renamed_to_busses_with_phase_label.dss") + + output_dss_filepath_kw_kvar_modified = set_kw_and_kvar_loads_to_1_if_there_is_an_associated_REopt_node(Multinode_Inputs_struct, output_dss_filepath_loads_renamed_to_names_of_busses, folder*"/"*"temp_kw_and_kvar_loads_with_value_of_1.dss") + + dss_file_export = output_dss_filepath_kw_kvar_modified + + return dss_file_export, load_map +end + + +function modify_object_syntax(input_filepath::String, output_filepath::String) + # This function was generated with the assistance of ChatGPT + + open(output_filepath, "w") do output + for line in eachline(input_filepath) + println(output, change_object_syntax(line)) + end + end + + return output_filepath +end + + +function change_object_syntax(line) + # This funcition was generated with the assistance of ChatGPT + + new_object_syntax_pattern = r"(?i)^\s*new\s+object\s*=\s*(\S+)" + + m = match(new_object_syntax_pattern, line) + if m !== nothing + object_name = lowercase(m.captures[1]) + return replace(line, new_object_syntax_pattern => "new $object_name"; count=1) + else + return line + end + + return +end + + +function set_kw_and_kvar_loads_to_1_if_there_is_an_associated_REopt_node(Multinode_Inputs, input_dss_file, output_dss_file) + # This funcition was generated with the assistance of ChatGPT + + REopt_nodes = lowercase.(REopt.GenerateREoptNodesList(Multinode_Inputs)) + + REopt_nodes = [] + REopt_phases = Dict() + for i in Multinode_Inputs.REopt_inputs_list + if string(i["Site"]["node"]) != Multinode_Inputs.facilitymeter_node + push!(REopt_nodes, i["Site"]["node"]) + REopt_phases[lowercase(i["Site"]["node"])] = i["Settings"]["phase_numbers"] + end + end + + # If the node is part of the REopt nodes, then set the kW and the kVAR to 1 + # If the node is not part of the REopt nodes list, then set the kW and kVAR to 0 + + open(output_dss_file, "w") do output + for line in eachline(input_dss_file) + if occursin(r"(?i)new\s+load\.", line) && occursin(r"(?i)bus1=",line) + bus, phases = get_bus_and_phases(line) + + phase = phases[1] # There will only be one phase listed in each row due to the function split_multiphase_loads_into_separate_lines + + if (bus !== nothing) && (lowercase(bus) in REopt_nodes) + if phase in REopt_phases[lowercase(bus)] + line = replace_kw_and_kvar(line, 1.0, 1.0) + else + line = replace_kw_and_kvar(line, 0.0, 0.0) + end + else + line = replace_kw_and_kvar(line, 0.0, 0.0) + end + end + write(output, line*"\n") + end + end + + return output_dss_file +end + + +function get_bus_and_phases(line::String) + # This funcition was generated with the assistance of ChatGPT + m = match(r"(?i)Bus1=([^\s\.]+)((?:\.\d+)*)",line) + if m === nothing + return nothing, Int[] + end + bus = m.captures[1] + + # Extract all digits after dots + phase_str = m.captures[2] + phases = isempty(phase_str) ? Int[] : parse.(Int,split(phase_str[2:end], ".")) + + return bus, phases +end + + +function replace_kw_and_kvar(line::String, kw::Float64, kvar::Float64) + # This funcition was generated with the assistance of ChatGPT + line = replace(line, r"(?i)kW=[^\s]+" => "kW=$(kw)") + line = replace(line, r"(?i)kvar=[^\s]+" => "kvar=$(kvar)") + return line +end + + +function process_reactors(input_dss_filepath, output_dss_filepath) + # This function removes features that REopt multinode does not model + # This funcition was generated with the assistance of ChatGPT + + # Convert the series reactors to lines (series reactors are show as reactor types with two busses listed in the .dss file) + # add code to remove shunt reactors (reactor types that only have one bus listed) + new_line_prefix = "RXLine_" # label the lines with RXLine_ after they are converted from reactors + + open(output_dss_filepath, "w") do output + open(input_dss_filepath, "r") do input + + block = String[] + + function flush_block() + isempty(block) && return + + if isempty(block) + return + end + + first_line = block[1] + + stripped_line = strip(first_line) # isa String ? first_line : "" + + if startswith(lowercase(stripped_line), "new reactor.") + handle_reactor_block(block, output, new_line_prefix) + else + # write non-reactor block verbatim + for y in block + println(output, y) + end + end + + empty!(block) + end + + for line in eachline(input) + stripped = line # strip(line) # isa String ? strip(line) : "" + if startswith(lowercase(stripped), "new") + # Start a new block + flush_block() + push!(block, line) + elseif startswith(stripped, "~") + # Continuation line + push!(block, line) + else + flush_block() + println(output, line) + end + end + + flush_block() # final block + end + end + + return output_dss_filepath +end + + +function handle_reactor_block(block, x, prefix) + # This funcition was generated with the assistance of ChatGPT + full = join(block, " ") + has_bus2 = occursin(r"(?i)bus2\s*=", full) # This detects if it is a series reactor (and not a shunt reactor, because shunt reactors won't have a bus 2) + if has_bus2 + line_def = reactor_block_to_line(full, prefix) + println(x, line_def) + else + println(x, "! Shunt reactor removed:") + for y in block + println(x, "! ", y) + end + end +end + + +function reactor_block_to_line(full::String, prefix::String) + # This function was generated with the assistance of ChatGPT + + name = extract_reactor_name(full) + bus1 = extract_prop(full, "bus1", "UNKNOWN") + bus2 = extract_prop(full, "bus2", "UNKNOWN") + phases = extract_prop(full, "phases", "3") + r = extract_prop(full, "r", "0.0") + x = extract_prop(full, "x", "0.0") + + line_name = prefix*name + + lines = ["New Line.$line_name Bus1=$bus1 Bus2=$bus2 Phases=$phases", + "~ R1=$r X1=$x Length=1 Units=Ft"] # line objects in OpenDSS take the resistance and reactance as R1 and X1 variables, respectively. Resistance and reactance can also be entered using other variables in the OpenDSS format. + return join(lines, "\n") +end + + +function extract_prop(text::String, key::String, default::String) + # This function was generated with the assistance of ChatGPT + m = match(Regex("(?i)$key\\s*=\\s*([^\\s]+)"), text) + return m == nothing ? default : m.captures[1] +end + +function extract_reactor_name(full::String) + # This function was generated with the assistance of ChatGPT + m = match(r"(?i)new\s+reactor\.([^\s]+)",full) + return m == nothing ? "UNKNOWN" : m.captures[1] +end + + +function remove_redirect_lines(input_filepath::String, output_filepath::String) + # This function was generated with the assistance of ChatGPT + open(output_filepath, "w") do output + open(input_filepath, "r") do input + for line in eachline(input) + stripped = strip(line) + # Skip lines starting with "redirect" (case-insensitive) + if startswith(lowercase(stripped), "redirect") + continue + else + println(output, line) + end + end + end + end + + return output_filepath +end + + +function split_multiphase_loads_into_separate_lines(input_filepath::String, output_filepath::String) + # This function was generated with assistance from ChatGPT + + # This function handles how voltages will need to be adjusted, depending on if they are delta or wye connected + + sqrt3 = sqrt(3.0) + + open(output_filepath, "w") do output + open(input_filepath, "r") do input + for line in eachline(input) + stripped = strip(line) + + # Only process New Load lines + if startswith(lowercase(stripped), "new load.") + m_name = match(r"(?i)new\s+load\.([^\s]+)",line) + m_bus = match(r"(?i)bus1\s*=\s*([^\s]+)", line) + m_phases = match(r"(?i)phases\s*=\s*(\d+)",line) + m_conn = match(r"(?i)conn\s*=\s*(\w+)",line) + m_kv = match(r"(?i)kv\s*=\s*([\d\.]+)",line) + m_kw = match(r"(?i)kw\s*=\s*([\d\.]+)",line) + m_kvar = match(r"(?i)kvar\s*=\s*([\d\.]+)",line) + + if m_name !== nothing && + m_bus !== nothing && + m_phases !== nothing && + parse(Int,m_phases.captures[1]) > 1 && + m_conn !== nothing && + m_kv !== nothing && + m_kw !== nothing + + orig_name = m_name.captures[1] + bus_full = m_bus.captures[1] + nph = parse(Int, m_phases.captures[1]) + conn = lowercase(m_conn.captures[1]) + kv_orig = parse(Float64, m_kv.captures[1]) + kw_orig = parse(Float64, m_kw.captures[1]) + + parts = split(bus_full, ".") + bus_id = parts[1] + phases = parts[2:end] + + # Voltage scaling + kv_new = conn == "delta" ? kv_orig / sqrt3 : kv_orig + + # Power scaling + kw_new = kw_orig / nph + + for ph in phases + new_name = "$(orig_name)_phase$(ph)" + newline = line + #newline = replace(newline, r"(?i)(new\s+load\.)[^\s]+" => "\\1$new_name") + + newline = replace_dss_load_name(newline, new_name) + + newline = replace(newline, r"(?i)phases\s*=\s*\d+" => "phases=1") + newline = replace(newline, r"(?i)bus1\s*=\s*[^\s]+" => "Bus1=$(bus_id).$(ph)") + newline = replace(newline, r"(?i)kv\s*=\s*[\d\.]+" => "kV=$(round(kv_new, digits=6))") + newline = replace(newline, r"(?i)kw\s*=\s*[\d\.]+" => "kW=$(round(kw_new, digits=6))") + + println(output, newline) + end + + continue # used to skip the original multiphase line + end + end + + # By default, re-write the unchanged line + println(output, line) + end + end + end + + return output_filepath +end + + +function rename_load_names_to_names_of_busses_with_phase_label(input_filepath::String, output_filepath::String) + # This function was generated with assistance from ChatGPT + + # NOTE: this function will not handle multiphase busses (e.g. Bus1=9.1.2.3). This assumes that all loads have been assigned to a single phase bus (which is what currently is required for multinode) + + load_to_bus_mapping = Dict{String, Tuple{String,String}}() + + open(output_filepath, "w") do output + open(input_filepath, "r") do input + for line in eachline(input) + stripped = strip(line) + + if startswith(lowercase(stripped), "new load.") + #Extract the original load name + m_name = match(r"(?i)new\s+load\.([^\s]+)", line) + + # Extract Bus1 information + m_bus = match(r"(?i)bus1\s*=\s*([^\s]+)",line) + + if (m_name !== nothing) && (m_bus !== nothing) + orig_name = m_name.captures[1] + bus_full = m_bus.captures[1] + + parts = split(bus_full,".") + bus_id = parts[1] + phase_id = length(parts) > 1 ? parts[2] : "1" # assume the phase ID is 1 by default + + new_name = "Load$(bus_id)_phase$(phase_id)" + + # Store the mapping + load_to_bus_mapping[orig_name] = (new_name, bus_full) + + # Replace the load name in the dss file line + #line = replace(line, r"(?i)(new\s+load\.)[^\s]+"=>"\\1$new_name") + line = replace_dss_load_name(line, new_name) + end + end + + println(output, line) + end + end + end + + return output_filepath, load_to_bus_mapping +end + + +function replace_dss_load_name(line::String, new_name::String) + # This function was generated with the assistance of ChatGPT + + m = match(r"(?i)^(new\s+load\.)[^\s]+(.*)$", line) + if m == nothing + return line + end + prefix = m.captures[1] # This is for "New Load." + rest = m.captures[2] # everything after the name + + return prefix*new_name*rest + +end + + +""" +Note: this function was generated using AI + + detect_network_loops(data_eng; kwargs...) -> (has_loops::Bool, loop_edges::Vector) + +Detects loops (cycles) in a PowerModelsDistribution engineering-model network +using Union-Find (disjoint set union). Compatible with single-phase and +multi-phase radial or meshed distribution systems. + +A "loop" is any edge whose two endpoint buses are already connected by another +path ā€” i.e. removing it would not disconnect the graph. In a purely radial +feeder no loops will be found. + +# Keyword arguments +- `include_switches` (default `true`): include switch elements (both dedicated + `"switch"` entries and lines whose name starts with `"sw_"`). +- `include_transformers` (default `true`): include transformers as edges + between their winding buses. +- `only_enabled` (default `true`): skip any component whose `"status"` field + is `PowerModelsDistribution.DISABLED`. +- `verbose` (default `true`): print a summary table to stdout. +- `phase_filter` (default `nothing`): if set to an integer (1=A, 2=B, 3=C), only edges + that carry that phase are included. Edges with no phase information are always included. + Use this to check loop connectivity on a single phase. + +# Returns +- `has_loops::Bool` ā€“ `true` if at least one loop was found. +- `loop_edges::Vector{NamedTuple}` ā€“ one entry per loop-closing edge, each + with fields `(type, name, f_bus, t_bus)`. +""" +function detect_network_loops( + data_eng::Dict; + include_switches::Bool = true, + include_transformers::Bool = true, + only_enabled::Bool = true, + verbose::Bool = true, + phase_filter::Union{Nothing, Int} = nothing, +) + # ------------------------------------------------------------------ # + # 1. Build edge list # + # ------------------------------------------------------------------ # + # Each entry: NamedTuple (type, name, f_bus, t_bus, phases) + # phases is a Vector{Int} using PMD convention: 1=A, 2=B, 3=C, 0=neutral + Edge = NamedTuple{(:type, :name, :f_bus, :t_bus, :phases), + Tuple{String,String,String,String,Vector{Int}}} + edges = Edge[] + + # Helper: is a component disabled? + function is_disabled(comp::Dict) + only_enabled || return false + status = get(comp, "status", nothing) + status === nothing && return false + return string(status) == "DISABLED" + end + + # Helper: convert integer phase list to a readable string ("A", "AB", "ABC", etc.) + _phase_label = Dict(1 => "A", 2 => "B", 3 => "C", 0 => "N") + function phases_str(phases::Vector{Int}) + isempty(phases) && return "?" + return join([get(_phase_label, p, string(p)) for p in sort(phases)]) + end + + # --- Lines (includes overhead lines, underground cables, and any --- + # stub lines created by the REopt DSS pre-processor) # + for (name, line) in get(data_eng, "line", Dict()) + is_disabled(line) && continue + startswith(name, "loadconn_") && continue + !include_switches && startswith(name, "sw_") && continue + + f_bus = get(line, "f_bus", nothing) + t_bus = get(line, "t_bus", nothing) + (f_bus === nothing || t_bus === nothing) && continue + + phases = Vector{Int}(get(line, "f_connections", Int[])) + phase_filter !== nothing && !isempty(phases) && !(phase_filter in phases) && continue + push!(edges, (type="line", name=name, f_bus=string(f_bus), t_bus=string(t_bus), phases=phases)) + end + + # --- Dedicated switch entries (PMD stores some switches separately) --- + if include_switches + for (name, sw) in get(data_eng, "switch", Dict()) + is_disabled(sw) && continue + f_bus = get(sw, "f_bus", nothing) + t_bus = get(sw, "t_bus", nothing) + (f_bus === nothing || t_bus === nothing) && continue + phases = Vector{Int}(get(sw, "f_connections", Int[])) + phase_filter !== nothing && !isempty(phases) && !(phase_filter in phases) && continue + push!(edges, (type="switch", name=name, f_bus=string(f_bus), t_bus=string(t_bus), phases=phases)) + end + end + + # --- Transformers (multi-winding: connect each adjacent pair of buses) --- + if include_transformers + for (name, xfmr) in get(data_eng, "transformer", Dict()) + is_disabled(xfmr) && continue + buses = get(xfmr, "bus", String[]) + # connections is a vector of per-winding connection arrays + conns = get(xfmr, "connections", Vector{Vector{Int}}()) + for i in 1:(length(buses) - 1) + phases = !isempty(conns) && i <= length(conns) ? Vector{Int}(conns[i]) : Int[] + phase_filter !== nothing && !isempty(phases) && !(phase_filter in phases) && continue + push!(edges, (type="transformer", name=name, + f_bus=string(buses[i]), t_bus=string(buses[i+1]), phases=phases)) + end + end + end + + # ------------------------------------------------------------------ # + # 2. Union-Find with path compression and union-by-rank # + # ------------------------------------------------------------------ # + all_buses = unique(vcat( + [e.f_bus for e in edges], + [e.t_bus for e in edges], + )) + + parent = Dict{String,String}(b => b for b in all_buses) + rnk = Dict{String,Int}(b => 0 for b in all_buses) + + function find!(x::String) + while parent[x] != x + parent[x] = parent[parent[x]] # path-halving compression + x = parent[x] + end + return x + end + + function union!(x::String, y::String)::Bool + rx, ry = find!(x), find!(y) + rx == ry && return false # already connected ā†’ cycle + if rnk[rx] < rnk[ry] + rx, ry = ry, rx + end + parent[ry] = rx + rnk[rx] == rnk[ry] && (rnk[rx] += 1) + return true + end + + # ------------------------------------------------------------------ # + # 3. Detect loop-closing edges # + # ------------------------------------------------------------------ # + loop_edges = Edge[] + for e in edges + if !union!(e.f_bus, e.t_bus) + push!(loop_edges, e) + end + end + + # ------------------------------------------------------------------ # + # Helper (defined here so it is available for the report below) # + # ------------------------------------------------------------------ # + _phase_label_report = Dict(1 => "A", 2 => "B", 3 => "C", 0 => "N") + phases_str_report(phases::Vector{Int}) = + isempty(phases) ? "?" : join([get(_phase_label_report, p, string(p)) for p in sort(phases)]) + + has_loops = !isempty(loop_edges) + + # ------------------------------------------------------------------ # + # 4. Report # + # ------------------------------------------------------------------ # + if verbose + println("\n" * "=" ^ 70) + println("Network Loop Detection") + phase_filter === nothing || println(" Phase filter: $(phase_filter) ($(get(Dict(1=>"A",2=>"B",3=>"C",0=>"N"), phase_filter, string(phase_filter))))") + println(" Buses : $(length(all_buses))") + println(" Edges used : $(length(edges)) ", + "(switches=$(include_switches), ", + "transformers=$(include_transformers))") + println("=" ^ 70) + if has_loops + println("LOOPS DETECTED ā€” $(length(loop_edges)) loop-closing edge(s):") + for e in loop_edges + ph = phases_str_report(e.phases) + println(" [$(e.type)] \"$(e.name)\" $(e.f_bus) <--> $(e.t_bus) phases: $ph") + end + else + println("No loops detected ā€” network appears to be radial.") + end + println("=" ^ 70) + end + + return has_loops, loop_edges +end + + +""" +Note: this function was generated using AI + + detect_islanded_buses(data_eng, source_bus; kwargs...) -> (has_islands::Bool, islanded_buses::Vector{String}, island_groups::Vector{Vector{String}}) + +Detects buses that are not electrically connected to `source_bus` (the +substation / voltage-source bus) in a PowerModelsDistribution engineering model. + +Each disconnected group is reported separately so you can see which buses are +isolated together versus individually. + +# Arguments +- `data_eng` : parsed PMD engineering model (`data_eng = PowerModelsDistribution.parse_file(...)`) +- `source_bus` : name of the reference bus (e.g. `Multinode_Inputs.substation_node`) + +# Keyword arguments +- `include_switches` (default `true`): treat switch elements as edges. +- `include_transformers`(default `true`): treat transformer winding connections as edges. +- `only_enabled` (default `true`): ignore components whose `"status"` field is DISABLED. +- `verbose` (default `true`): print a summary to stdout. +- `phase_filter` (default `nothing`): if set to an integer (1=A, 2=B, 3=C), only edges + that carry that phase are used to build the connectivity graph. Edges with no phase + information are always included. Use this to detect per-phase islands in systems where + some buses are connected on one phase but not another. + +# Returns +- `has_islands::Bool` ā€“ `true` if any islanded bus was found. +- `islanded_buses::Vector{String}` ā€“ flat list of all buses not reachable from `source_bus`. +- `island_groups::Vector{Vector{String}}`ā€“ buses grouped by their connected component. +""" +function detect_islanded_buses( + data_eng::Dict, + source_bus::String; + include_switches::Bool = true, + include_transformers::Bool = true, + only_enabled::Bool = true, + verbose::Bool = true, + phase_filter::Union{Nothing, Int} = nothing, +) + # ------------------------------------------------------------------ # + # 1. Collect all buses present in the model # + # ------------------------------------------------------------------ # + # When phase_filter is set, only include buses whose `terminals` field + # contains the filtered phase. Otherwise buses that physically exist on + # other phases only (e.g. a phase-2 battery) would appear as singleton + # islands on the phase-1 graph. + all_buses = String[] + for (bname, bdata) in get(data_eng, "bus", Dict()) + if phase_filter !== nothing + terms = Vector{Int}(get(bdata, "terminals", Int[])) + !isempty(terms) && !(phase_filter in terms) && continue + end + push!(all_buses, string(bname)) + end + + # ------------------------------------------------------------------ # + # 2. Build edge list (same logic as detect_network_loops) # + # ------------------------------------------------------------------ # + function is_disabled(comp::Dict) + only_enabled || return false + status = get(comp, "status", nothing) + status === nothing && return false + return string(status) == "DISABLED" + end + + edges = Tuple{String,String}[] # (f_bus, t_bus) + + for (name, line) in get(data_eng, "line", Dict()) + is_disabled(line) && continue + !include_switches && startswith(name, "sw_") && continue + f = get(line, "f_bus", nothing) + t = get(line, "t_bus", nothing) + (f === nothing || t === nothing) && continue + phases = Vector{Int}(get(line, "f_connections", Int[])) + phase_filter !== nothing && !isempty(phases) && !(phase_filter in phases) && continue + push!(edges, (string(f), string(t))) + end + + if include_switches + for (_, sw) in get(data_eng, "switch", Dict()) + is_disabled(sw) && continue + f = get(sw, "f_bus", nothing) + t = get(sw, "t_bus", nothing) + (f === nothing || t === nothing) && continue + phases = Vector{Int}(get(sw, "f_connections", Int[])) + phase_filter !== nothing && !isempty(phases) && !(phase_filter in phases) && continue + push!(edges, (string(f), string(t))) + end + end + + if include_transformers + for (_, xfmr) in get(data_eng, "transformer", Dict()) + is_disabled(xfmr) && continue + buses = get(xfmr, "bus", String[]) + conns = get(xfmr, "connections", Vector{Vector{Int}}()) + for i in 1:(length(buses) - 1) + phases = !isempty(conns) && i <= length(conns) ? Vector{Int}(conns[i]) : Int[] + phase_filter !== nothing && !isempty(phases) && !(phase_filter in phases) && continue + push!(edges, (string(buses[i]), string(buses[i+1]))) + end + end + end + + # ------------------------------------------------------------------ # + # 3. Union-Find over ALL buses (not just those touched by edges) # + # ------------------------------------------------------------------ # + parent = Dict{String,String}(b => b for b in all_buses) + rnk = Dict{String,Int}(b => 0 for b in all_buses) + + # Also register any edge-endpoint buses not already in data_eng["bus"] + for (f, t) in edges + get!(parent, f, f); get!(rnk, f, 0) + get!(parent, t, t); get!(rnk, t, 0) + end + + function find!(x::String) + while parent[x] != x + parent[x] = parent[parent[x]] + x = parent[x] + end + return x + end + + function union!(x::String, y::String) + rx, ry = find!(x), find!(y) + rx == ry && return + if rnk[rx] < rnk[ry]; rx, ry = ry, rx; end + parent[ry] = rx + rnk[rx] == rnk[ry] && (rnk[rx] += 1) + end + + for (f, t) in edges + union!(f, t) + end + + # ------------------------------------------------------------------ # + # 4. Identify connected components # + # ------------------------------------------------------------------ # + if !haskey(parent, source_bus) + error("detect_islanded_buses: source_bus \"$source_bus\" not found in the model.") + end + + source_root = find!(source_bus) + + # Group all buses by their root + components = Dict{String, Vector{String}}() + for b in keys(parent) + root = find!(b) + push!(get!(components, root, String[]), b) + end + + islanded_buses = String[] + island_groups = Vector{String}[] + + for (root, group) in components + root == source_root && continue # this is the main connected network + sort!(group) + append!(islanded_buses, group) + push!(island_groups, group) + end + sort!(islanded_buses) + sort!(island_groups, by = g -> g[1]) + + has_islands = !isempty(islanded_buses) + + # ------------------------------------------------------------------ # + # 5. Report # + # ------------------------------------------------------------------ # + if verbose + println("\n" * "=" ^ 70) + println("Islanded Bus Detection") + phase_filter === nothing || println(" Phase filter: $(phase_filter) ($(get(Dict(1=>"A",2=>"B",3=>"C",0=>"N"), phase_filter, string(phase_filter))))") + println(" Source bus : \"$source_bus\"") + println(" Total buses: $(length(keys(parent)))") + main_group_size = haskey(components, source_root) ? length(components[source_root]) : 0 + println(" Connected buses (reachable from source): $(main_group_size)") + println(" Island groups (excluding the group connected to the sourebus): $(length(island_groups))") + println("=" ^ 70) + if has_islands + println("ISLANDED BUSES DETECTED ā€” $(length(islanded_buses)) bus(es) in $(length(island_groups)) group(s):") + for (i, group) in enumerate(island_groups) + println(" Island $i ($(length(group)) bus(es)): ", join(group, ", ")) + end + else + println("No islanded buses ā€” all buses are reachable from \"$source_bus\".") + end + println("=" ^ 70) + end + + return has_islands, islanded_buses, island_groups +end diff --git a/src/multinode/random_vectors_data.json b/src/multinode/random_vectors_data.json new file mode 100644 index 000000000..642571973 --- /dev/null +++ b/src/multinode/random_vectors_data.json @@ -0,0 +1 @@ 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387,5382,5939,6740,6753,8479,3863,2015,6286,2050,1619,763,4979,3154,3239,466,4610,6374,8649,1574,4835,5072,3400,180,3826,8416,2845,2419,665,7952,4869,1919,1903,6244,3080,6098,8121,1745,1265,8209,3295,2879,7073,7357,4768,2101,1224,4233,4065,4316,1816,5584,4941,1303,4428,5658,4122,7544,1594,4906,368,1159,2070,4139,3047,3517,6596,5477,2685,3253,1090,2779,1236,7821,7230,1990,4380,710,6913,2395,7221,1003,6344,167,560,8182,3096,680,6305,2243,8651,5850,8596,2930,5178,6501,3385,6353,6702,7953,1417,5002,6292,5314,818,2374,6788,8710,2940,3140,370,6352,2152,3772,198,2855,4723,5014,4938,8031,4507,5209,846,8032,2957,1697,1868,3393,7511,6816,444,2320,91,1669,2981,872,4208,2528,8158,3207,7760,5159,3590,505,4560,7429,7681,7459,8005,5137,4160,6489,7831,4995,8367,2451,8219,656,5758,828,2731,3038,4952,2330,2245,6867,4707,308,294,4653,6273,6155,3307,1239,8113,1650,6941,1398,578,6327,7587,4138,1211,2831,1466,8498,6293,8249,4534,3835,4450,2619,6583,7456,3335,1998,7256,4999,7632,473,5356,1176,8369,3298,5798,4302,4400,3104,389,7026,1854,2561,378,2391,5842,5341,3799,1493,408,3938,5936,1066,6259,3033,1355,309,267,7101,1777,4857,5227,1974,639,3036,8545,6149,395,4439,1811,888,1918,1631,6502,5183,4615,6584,6969,3876,6624,5447,3719,999,4598,7800,1831,1068,6249,4299,3195,484,2636,5139,2628,3285,989,5563,97,7268,5699,4950,6815,4639,5039,1136,8420,6864,31,7420,5080,2832,6494,215,2558,1015,4148,3317,5342,5775,6982,1821,339,233,5598,427,5644,5347,7276,1389,6996,607,3364,3750,7543,2507,4379,6927,7274,1270,2461,808,6887,8016,1661,229,8201,236,2748,5591,5873,2151,4633,1411,1057,5192,7387,8759,4144,642,1161,3399,5970,4606,6239,22,3067,8684,7970,6690,5720,6706,992,1052,4720,7582,2119,6077,630,5657,8465,5436,4349,6059,1946,2081,3091,5499,2415,3209,8193,2348,6993,6518,6454,7670,6506,5478,1551,8135,7707,4203,8350,7591,9,3662,406,3331,6438,72,414,2212,8573,7873,1137,7463,853,3478,5145,3536,5697,5777,4785,6556,1329,2923,2662,4250,2398,7412,2641,8690,5487,5378,7709,5501,5818,2582,2469,4935,778,492,5201,865,5427,4834,8257,4212,3437,3121,6898,2195,668,5266,6386,2705,5678,1108,4956,4848,4218,4567,8228,1465,1535,4430,273,8058,3506,6639,3205,4259,4300,2210,5439,3161,5111,7495,7887,214,7687,157,7562,4375,7318,6798,3622,7172,5357,7182,3374,5614,5985,3591,3447,2951,6961,1952,4755,5732,36,8661,376,4930,1938,332,2168,875,8716,126,312,5428,1272,1877,5853,2242,432,8090,5774,3450,879,8556,4084,7700,7469,537,957,942,6930,8156,8519,4003,2247,8694,8565,5744,86,4154,7209,237,4715,3919,4556,6893,6094,784,8640,3573,181,1192,7861,2160,3655,3790,4009,397,7758,6723,102,2571,5641,7438,1982,2294,4143,3021,4744,1849,4013,6081,4010,7816,3260,803,5749,6294,5891,7857,7585,3480,4758,651,4022,2113,1157,7297,8707,3010,3455,5807,626,6824,3371,770,3362,3040,8750,5616,6243,8452,7912,5817,8501,4077,741,3388,2445,6515,1138,1413,1906,3947,123,6623,7012,2280,4762,6738,5415,8663,5239,3070,3225,4825,7278,6096,743,6157,6471,1567,2878,3030,6328,5317,1710,3904,2481,3056,5176,120,2170,5224,7058,4858,1041,1001,3708,2671,7815,289,4377,5628,6802,1365,4417,5095,3769,3735,8485,1117,904,13,4256,8322,5696,978,4563,5613,7181,1586,2809,4348,2874,5868,7436,2027,5460,3349,1694,3164,4382,3242,7248,7558,2431,3406,4788,5471,5884,3378,8133,7838,5214,7570,1124,2335,6410,4674,8622,3786,4178,8082,2593,8291,6768,1360,6928,1450,7336,5846,686,1606,453,5102,8296,2624,8691,2230,67,622,6061,7938,2377,664,6253,2056,3741,6350,3688,844,6673,4577,5795,7050,6662,7978,637,6812,3107,911,3146,2308,1423,7396,8071,949,3185,6481,7820,2356,6644,6574,8035,8132,8178,7347,7880,4609,2045,8326,2862,6488,3369,4573,6851,4512,4176,3336,8752,574,5836,7251,6804,4937,2460,6980,2769,2916,4559,7836,7471,687,489,2257,2910,8551,2572,4364,6742,46,7514,2496,6957,3913,6354,7530,5327,5295,7110,4469,7089,460,602,1292,2798,7943,6203,137,3159,5861,2554,8697,5520,8179,6527,6773,6509,5167,4998,3212,211,6964,5204,2421,1839,8388,2776,8417,66,2530,8701,6461,6628,2115,6889,8027,6894,7602,6442,5859,7714,6428,402,5292,1605,4270,581,3148,1541,8679,700,2814,829,4500,2876,6999,534,4466,3454,5035,916,8489,6563,5580,4685,2914,2839,1455,4517,4543,5457,3868,8375,1786,7539,2803,2904,8172,3994,7238,8576,4662,3101,8111,5735,7030,1310,2157,6564,5023,6072,4751,3729,6968,4688,1589,313,7462,6376,1959,4329,7091,4477,7417,3416,2403,8529,4163,4238,3142,4667,6396,7138,5163,7326,7003,954,986,5926,1901,4327,5605,3098,3023,2057,638,7626,254,4967,7768,721,6049,2921,6225,7937,2309,3530,6717,5867,1363,2002,8666,6290,2795,4291,113,1045,6206,7210,3579,5727,6037,1996,8152,4677,5303,5781,6246,6667,557,2173,6229,4229,8402,6833,8434,8359,1833,8124,5149,7385,7813,6744,6414,2432,380,8206,5915,6237,7605,5978,5320,7363,2539,6648,3418,5909,2145,8146,2219,7070,4527,6091,8435,1441,5191,3824,1542,3442,2435,3805,8235,4771,165,6346,8453,1684,8012,3874,1872,3565,4117,2760,6335,2347,1575,7313,7386,8168,8341,5279,5047,6032,4184,3757,5087,3520,7202,388,6196,6589,7833,1284,2969,2448,5820,7732,2397,2755,282,775,8647,6772,7586,1468,4852,3617,7449,5186,6781,780,2014,2434,6028,1564,7430,8739,4179,60,583,238,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\ No newline at end of file diff --git a/src/core/reopt_multinode.jl b/src/multinode/reopt_multinode.jl similarity index 74% rename from src/core/reopt_multinode.jl rename to src/multinode/reopt_multinode.jl index a41a80a35..c98c4d720 100644 --- a/src/core/reopt_multinode.jl +++ b/src/multinode/reopt_multinode.jl @@ -2,7 +2,7 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T}}) where T <: AbstractScenario - + print(" Adding variables\n") dvs_idx_on_techs = String[ "dvSize", "dvPurchaseSize", @@ -16,10 +16,12 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T} "dvStorageEnergy", ] dvs_idx_on_storagetypes_time_steps = String[ - "dvDischargeFromStorage" + "dvDischargeFromStorage", + "dvStorageToGrid" ] for p in ps _n = string("_", p.s.site.node) + for dv in dvs_idx_on_techs x = dv*_n m[Symbol(x)] = @variable(m, [p.techs.all], base_name=x, lower_bound=0) @@ -31,13 +33,14 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T} end for dv in dvs_idx_on_storagetypes - x = dv*_n + x = dv*_n m[Symbol(x)] = @variable(m, [p.s.storage.types.elec], base_name=x, lower_bound=0) - end + end for dv in dvs_idx_on_storagetypes_time_steps - x = dv*_n + x = dv*_n m[Symbol(x)] = @variable(m, [p.s.storage.types.all, p.time_steps], base_name=x, lower_bound=0) + # add in the definition end dv = "dvGridToStorage"*_n @@ -61,7 +64,20 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T} dv = "MinChargeAdder"*_n m[Symbol(dv)] = @variable(m, base_name=dv, lower_bound=0) - if !isempty(p.s.electric_tariff.export_bins) + dv = "dvFuelUsage"*_n + m[Symbol(dv)] = @variable(m, [p.techs.gen, 0:p.time_steps[end]], base_name=dv, lower_bound=0) + + dv = "binGenIsOnInTS"*_n + m[Symbol(dv)] = @variable(m, [p.techs.gen, 0:p.time_steps[end]], base_name=dv, lower_bound=0) + + #if !isempty(p.s.storage.types.elec_no_simultaneous_charge_discharge) + # @warn "Adding binary variable to prevent simultaneous battery charge/discharge. Some solvers are very slow with integer variables." + #end + + #dv = "binBattCharging"*_n + #m[Symbol(dv)] = @variable(m, [p.s.storage.types.elec_no_simultaneous_charge_discharge, p.time_steps], base_name=dv, Bin) + + if !isempty(p.s.electric_tariff.export_bins) dv = "dvProductionToGrid"*_n m[Symbol(dv)] = @variable(m, [p.techs.elec, p.s.electric_tariff.export_bins, p.time_steps], base_name=dv, lower_bound=0) end @@ -84,7 +100,23 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T} ex_name = "TotalPerUnitProdOMCosts"*_n m[Symbol(ex_name)] = 0 - + + ex_name = "TotalFuelCosts"*_n + m[Symbol(ex_name)] = 0 + + ex_name = "TotalFuelCosts" + m[Symbol(ex_name)] = 0 + + if !isempty(p.techs.gen) + add_gen_constraints(m, p; _n = _n ) + m[Symbol("TotalPerUnitProdOMCosts"*_n)] += m[Symbol("TotalGenPerUnitProdOMCosts"*_n)] + m[Symbol("TotalFuelCosts"*_n)] += m[Symbol("TotalGenFuelCosts"*_n)] + end + + if !isempty(p.s.electric_tariff.export_bins) + add_export_constraints(m, p; _n=_n) + end + add_elec_utility_expressions(m, p; _n=_n) ################################# Objective Function ######################################## @@ -95,9 +127,14 @@ function add_variables!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T} ## Fixed O&M, tax deductible for owner m[Symbol("TotalPerUnitSizeOMCosts"*_n)] * (1 - p.s.financial.owner_tax_rate_fraction) + - + + # Production O&M cost and fuel costs + m[Symbol("TotalFuelCosts"*_n)] + + m[Symbol("TotalPerUnitProdOMCosts"*_n)] + + # Utility Bill, tax deductible for offtaker, including export benefit m[Symbol("TotalElecBill"*_n)] * (1 - p.s.financial.offtaker_tax_rate_fraction) + ); end end @@ -105,31 +142,26 @@ end function build_reopt!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T}}) where T <: AbstractScenario add_variables!(m, ps) - @warn "Outages are not currently modeled in multinode mode." - @warn "Diesel generators are not currently modeled in multinode mode." - @warn "Emissions and renewable energy fractions are not currently modeling in multinode mode." + @warn "Emissions and renewable energy fractions are not currently modeled in multinode mode." + for p in ps _n = string("_", p.s.site.node) - - for b in p.s.storage.types.all + + for b in p.s.storage.types.all if p.s.storage.attr[b].max_kw == 0 || p.s.storage.attr[b].max_kwh == 0 - @constraint(m, [ts in p.time_steps], m[Symbol("dvStoredEnergy"*_n)][b, ts] == 0) + @info "\n For node $(_n), the storage input size was 0 kW or 0 kWh, so the battery will not be used" + @constraint(m, [ts in p.time_steps], m[Symbol("dvStoredEnergy"*_n)][b, ts] == 0) @constraint(m, m[Symbol("dvStorageEnergy"*_n)][b] == 0) @constraint(m, m[Symbol("dvStoragePower"*_n)][b] == 0) @constraint(m, [t in p.techs.elec, ts in p.time_steps_with_grid], m[Symbol("dvProductionToStorage"*_n)][b, t, ts] == 0) @constraint(m, [ts in p.time_steps], m[Symbol("dvDischargeFromStorage"*_n)][b, ts] == 0) @constraint(m, [ts in p.time_steps], m[Symbol("dvGridToStorage"*_n)][b, ts] == 0) - else - add_storage_size_constraints(m, p, b; _n=_n) - add_general_storage_dispatch_constraints(m, p, b; _n=_n) - if b in p.s.storage.types.elec - add_elec_storage_dispatch_constraints(m, p, b; _n=_n) - elseif b in p.s.storage.types.hot - add_hot_thermal_storage_dispatch_constraints(m, p, b; _n=_n) - elseif b in p.s.storage.types.cold - add_cold_thermal_storage_dispatch_constraints(m, p, b; _n=_n) - end + @constraint(m, [ts in p.time_steps], m[Symbol("dvStorageToGrid"*_n)][b,ts] == 0) + else + add_storage_size_constraints(m, p, b; _n=_n) + add_general_storage_dispatch_constraints(m, p, b; _n=_n) + add_elec_storage_dispatch_constraints(m, p, b; _n=_n) end end @@ -137,21 +169,21 @@ function build_reopt!(m::JuMP.AbstractModel, ps::AbstractVector{REoptInputs{T}}) add_storage_sum_grid_constraints(m, p; _n=_n) end - add_production_constraints(m, p; _n=_n) - if !isempty(p.techs.all) add_tech_size_constraints(m, p; _n=_n) if !isempty(p.techs.no_curtail) add_no_curtail_constraints(m, p; _n=_n) end end - - add_elec_load_balance_constraints(m, p; _n=_n) - - if !isempty(p.s.electric_tariff.export_bins) - add_export_constraints(m, p; _n=_n) - end - + + # Only apply the load balance constraint to nodes that aren't the facility meter node. The facility meter node may be used as a meter for the multinode network, so the "grid_import" is set to the power flow through the line upstream of that node + if string(p.s.site.node) != p.s.settings.facilitymeter_node + add_elec_load_balance_constraints(m, p; _n=_n) + add_production_constraints(m, p; _n=_n) + else + print("\n Not applying the REopt load balance constraint to the node $(_n) because it is the facility meter node. No technologies should be applied to it. \n") + end + if !isempty(p.s.electric_tariff.monthly_demand_rates) add_monthly_peak_constraint(m, p; _n=_n) end diff --git a/src/results/electric_storage.jl b/src/results/electric_storage.jl index ef07eb48c..a6cfbd0de 100644 --- a/src/results/electric_storage.jl +++ b/src/results/electric_storage.jl @@ -44,9 +44,14 @@ function add_electric_storage_results(m::JuMP.AbstractModel, p::REoptInputs, d:: end r["residual_value"] = value(m[:residual_value]) end + + BattExport = (m[Symbol("dvStorageToGrid"*_n)][b, ts] for ts in p.time_steps) + r["storage_to_grid_series_kw"] = round.(value.(BattExport), digits = 3) + else r["soc_series_fraction"] = [] r["storage_to_load_series_kw"] = [] + r["storage_to_grid_series_kw"] = [] end d[b] = r diff --git a/src/results/financial.jl b/src/results/financial.jl index 9f40459fc..919cf803d 100644 --- a/src/results/financial.jl +++ b/src/results/financial.jl @@ -61,9 +61,9 @@ function add_financial_results(m::JuMP.AbstractModel, p::REoptInputs, d::Dict; _ r["lifecycle_storage_capital_costs"] = value(m[Symbol("TotalStorageCapCosts"*_n)]) # Storage capital costs (including replacements) r["lifecycle_om_costs_after_tax"] = r["lifecycle_om_costs_before_tax"] * (1 - p.s.financial.owner_tax_rate_fraction) # Fixed & Variable O&M if !isempty(p.techs.fuel_burning) - r["lifecycle_fuel_costs_after_tax"] = value(m[:TotalFuelCosts]) * (1 - p.s.financial.offtaker_tax_rate_fraction) - else - r["lifecycle_fuel_costs_after_tax"] = 0.0 + r["lifecycle_fuel_costs_after_tax"] = value(m[Symbol("TotalFuelCosts"*_n)]) * (1 - p.s.financial.offtaker_tax_rate_fraction) + else + r["lifecycle_fuel_costs_after_tax"] = 0.0 end if !(Symbol("TotalCHPStandbyCharges"*_n) in keys(m.obj_dict)) # CHP standby charges not currently included in multi-node modeling m[Symbol("TotalCHPStandbyCharges"*_n)] = 0.0 diff --git a/src/results/generator.jl b/src/results/generator.jl index ec9c2efb7..7c7085df1 100644 --- a/src/results/generator.jl +++ b/src/results/generator.jl @@ -25,45 +25,45 @@ function add_generator_results(m::JuMP.AbstractModel, p::REoptInputs, d::Dict; _ r = Dict{String, Any}() - GenPerUnitSizeOMCosts = @expression(m, p.third_party_factor * p.pwf_om * sum(m[:dvSize][t] * p.om_cost_per_kw[t] for t in p.techs.gen)) + GenPerUnitSizeOMCosts = @expression(m, p.third_party_factor * p.pwf_om * sum(m[Symbol("dvSize"*_n)][t] * p.om_cost_per_kw[t] for t in p.techs.gen)) GenPerUnitProdOMCosts = @expression(m, p.third_party_factor * p.pwf_om * p.hours_per_time_step * - sum(m[:dvRatedProduction][t, ts] * p.production_factor[t, ts] * p.s.generator.om_cost_per_kwh + sum(m[Symbol("dvRatedProduction"*_n)][t, ts] * p.production_factor[t, ts] * p.s.generator.om_cost_per_kwh for t in p.techs.gen, ts in p.time_steps) ) - r["size_kw"] = round(value(sum(m[:dvSize][t] for t in p.techs.gen)), digits=2) + r["size_kw"] = round(value(sum(m[Symbol("dvSize"*_n)][t] for t in p.techs.gen)), digits=2) r["lifecycle_fixed_om_cost_after_tax"] = round(value(GenPerUnitSizeOMCosts) * (1 - p.s.financial.owner_tax_rate_fraction), digits=0) - r["lifecycle_variable_om_cost_after_tax"] = round(value(m[:TotalPerUnitProdOMCosts]) * (1 - p.s.financial.owner_tax_rate_fraction), digits=0) - r["lifecycle_fuel_cost_after_tax"] = round(value(m[:TotalGenFuelCosts]) * (1 - p.s.financial.offtaker_tax_rate_fraction), digits=2) - r["year_one_fuel_cost_before_tax"] = round(value(m[:TotalGenFuelCosts]) / p.pwf_fuel["Generator"], digits=2) + r["lifecycle_variable_om_cost_after_tax"] = round(value(m[Symbol("TotalPerUnitProdOMCosts"*_n)]) * (1 - p.s.financial.owner_tax_rate_fraction), digits=0) + r["lifecycle_fuel_cost_after_tax"] = round(value(m[Symbol("TotalGenFuelCosts"*_n)]) * (1 - p.s.financial.offtaker_tax_rate_fraction), digits=2) + r["year_one_fuel_cost_before_tax"] = round(value(m[Symbol("TotalGenFuelCosts"*_n)]) / p.pwf_fuel["Generator"], digits=2) r["year_one_variable_om_cost_before_tax"] = round(value(GenPerUnitProdOMCosts) / (p.pwf_om * p.third_party_factor), digits=0) r["year_one_fixed_om_cost_before_tax"] = round(value(GenPerUnitSizeOMCosts) / (p.pwf_om * p.third_party_factor), digits=0) if !isempty(p.s.storage.types.elec) generatorToBatt = @expression(m, [ts in p.time_steps], - sum(m[:dvProductionToStorage][b, t, ts] for b in p.s.storage.types.elec, t in p.techs.gen)) + sum(m[Symbol("dvProductionToStorage"*_n)][b, t, ts] for b in p.s.storage.types.elec, t in p.techs.gen)) else - generatorToBatt = zeros(length(p.time_steps)) + generatorToBatt = zeros(length(p.time_steps)) end r["electric_to_storage_series_kw"] = round.(value.(generatorToBatt), digits=3) generatorToGrid = @expression(m, [ts in p.time_steps], - sum(m[:dvProductionToGrid][t, u, ts] for t in p.techs.gen, u in p.export_bins_by_tech[t]) + sum(m[Symbol("dvProductionToGrid"*_n)][t, u, ts] for t in p.techs.gen, u in p.export_bins_by_tech[t]) ) r["electric_to_grid_series_kw"] = round.(value.(generatorToGrid), digits=3) generatorToLoad = @expression(m, [ts in p.time_steps], - sum(m[:dvRatedProduction][t, ts] * p.production_factor[t, ts] * p.levelization_factor[t] + sum(m[Symbol("dvRatedProduction"*_n)][t, ts] * p.production_factor[t, ts] * p.levelization_factor[t] for t in p.techs.gen) - generatorToBatt[ts] - generatorToGrid[ts] ) r["electric_to_load_series_kw"] = round.(value.(generatorToLoad), digits=3) - GeneratorFuelUsed = @expression(m, sum(m[:dvFuelUsage][t, ts] for t in p.techs.gen, ts in p.time_steps) / p.s.generator.fuel_higher_heating_value_kwh_per_gal) + GeneratorFuelUsed = @expression(m, sum(m[Symbol("dvFuelUsage"*_n)][t, ts] for t in p.techs.gen, ts in p.time_steps) / p.s.generator.fuel_higher_heating_value_kwh_per_gal) r["annual_fuel_consumption_gal"] = round(value(GeneratorFuelUsed), digits=2) AverageGenProd = @expression(m, - p.hours_per_time_step * sum(m[:dvRatedProduction][t,ts] * p.production_factor[t, ts] * + p.hours_per_time_step * sum(m[Symbol("dvRatedProduction"*_n)][t,ts] * p.production_factor[t, ts] * p.levelization_factor[t] for t in p.techs.gen, ts in p.time_steps) ) diff --git a/src/results/pv.jl b/src/results/pv.jl index 4c5774faa..d053a1bb5 100644 --- a/src/results/pv.jl +++ b/src/results/pv.jl @@ -45,7 +45,7 @@ function add_pv_results(m::JuMP.AbstractModel, p::REoptInputs, d::Dict; _n="") r["annual_energy_exported_kwh"] = 0.0 if !isempty(p.s.electric_tariff.export_bins) PVtoGrid = @expression(m, [ts in p.time_steps], - sum(m[:dvProductionToGrid][t, u, ts] for u in p.export_bins_by_tech[t])) + sum(m[Symbol("dvProductionToGrid"*_n)][t, u, ts] for u in p.export_bins_by_tech[t])) r["electric_to_grid_series_kw"] = round.(value.(PVtoGrid), digits=3).data r["annual_energy_exported_kwh"] = round( diff --git a/src/results/results.jl b/src/results/results.jl index 9b79d13a8..1a0d2fe9f 100644 --- a/src/results/results.jl +++ b/src/results/results.jl @@ -47,9 +47,9 @@ function reopt_results(m::JuMP.AbstractModel, p::REoptInputs; _n="") time_elapsed = time() - tstart @debug "Base results processing took $(round(time_elapsed, digits=3)) seconds." - if !isempty(p.techs.gen) && isempty(_n) # generators not included in multinode model - tstart = time() - add_generator_results(m, p, d) + if !isempty(p.techs.gen) + tstart = time() + add_generator_results(m, p, d; _n) time_elapsed = time() - tstart @debug "Generator results processing took $(round(time_elapsed, digits=3)) seconds." end diff --git a/test/Manifest.toml b/test/Manifest.toml new file mode 100644 index 000000000..b29eb7737 --- /dev/null +++ b/test/Manifest.toml @@ -0,0 +1,497 @@ +# This file is machine-generated - editing it directly is not advised + +julia_version = "1.8.5" +manifest_format = "2.0" +project_hash = "9ccf56466bcd305fca27b2c2c2ce6d8348655628" + +[[deps.ArnoldiMethod]] +deps = ["LinearAlgebra", "Random", "StaticArrays"] +git-tree-sha1 = "d57bd3762d308bded22c3b82d033bff85f6195c6" +uuid = "ec485272-7323-5ecc-a04f-4719b315124d" 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object=circuit.OptimizationCircuit +~ basekv=22.7 pu=1.0 r1=0.001 x1=0.01 r0=0.001 x0=0.01 !basekv=22.7 ISC3=629276 ISC1=1048 +~ baseMVA=1 + +! LineCodes +New linecode.410Amp nphases=1 R1=0.057 X1=0.855 R0=0.0 X0=0.0 C1=0 C0=0 Units=kft normamps=3000 emergamps=3000 !rmatrix = [1.2] xmatrix = [.001] + +! Transformers +New Transformer.1b phases=1 Buses=[2 3] kVs=[22.7 4.16] kVAs=[1000 1000] Conns=[Wye Wye] %rs=[0 0] %LoadLoss=0.01 !The 2-element vectors have one value for each winding + +! Loads (note: Don't apply a load to REopt's facility meter node) +New Load.Load4 Phases=1 Bus1=4.1 kV=4.16 kW=1.0 PF=0.95 +New Load.Load5 Phases=1 Bus1=5.1 kV=4.16 kW=1.0 PF=0.95 +New Load.Load6 Phases=1 Bus1=6.1 kV=4.16 kW=1.0 PF=0.95 +New Load.Load7 Phases=1 Bus1=7.1 kV=4.16 kW=1.0 PF=0.95 + +! Lines +New Line.line0_1 Phases=1 Bus1=sourcebus Bus2=1 LineCode=410Amp Length=0.1 Units=kft +New Line.line1_2 Phases=1 Bus1=1 Bus2=2 LineCode=410Amp Length=0.1 Units=kft +New Line.line3_4 Phases=1 Bus1=3 Bus2=4 LineCode=410Amp Length=0.1 Units=kft +New Line.line4_5 Phases=1 Bus1=4 Bus2=5 LineCode=410Amp Length=0.1 Units=kft +New Line.line4_6 Phases=1 Bus1=4 Bus2=6 LineCode=410Amp Length=0.1 Units=kft +New Line.line4_7 Phases=1 Bus1=4 Bus2=7 LineCode=410Amp Length=0.1 Units=kft + +Set Tolerance=0.03 + +Set voltagebases=[22.7 4.16] + diff --git a/test/runtests.jl b/test/runtests.jl index 8cd312196..d8f16a899 100644 --- a/test/runtests.jl +++ b/test/runtests.jl @@ -10,6 +10,7 @@ using Random using DelimitedFiles using Logging Random.seed!(42) +using PowerModelsDistribution if "Xpress" in ARGS @testset "test_with_xpress" begin @@ -27,7 +28,7 @@ else # run HiGHS tests logger = SimpleLogger() results = nothing with_logger(logger) do - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, "./scenarios/simultaneous_charge_discharge.json") end @test any(.&( @@ -44,6 +45,7 @@ else # run HiGHS tests ) ) ā‰ˆ false end + @testset "hybrid profile" begin electric_load = REopt.ElectricLoad(; blended_doe_reference_percents = [0.2, 0.2, 0.2, 0.2, 0.2], @@ -125,7 +127,7 @@ else # run HiGHS tests end @testset "January Export Rates" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) data = JSON.parsefile("./scenarios/monthly_rate.json") # create wholesale_rate with compensation in January > retail rate @@ -144,14 +146,14 @@ else # run HiGHS tests end @testset "Blended tariff" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, "./scenarios/no_techs.json") @test results["ElectricTariff"]["year_one_energy_cost_before_tax"] ā‰ˆ 1000.0 @test results["ElectricTariff"]["year_one_demand_cost_before_tax"] ā‰ˆ 136.99 end @testset "Solar and Storage" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(model, "./scenarios/pv_storage.json") @test r["PV"]["size_kw"] ā‰ˆ 216.6667 atol=0.01 @@ -162,7 +164,7 @@ else # run HiGHS tests # TODO test MPC with outages @testset "MPC" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_mpc(model, "./scenarios/mpc.json") @test maximum(r["ElectricUtility"]["to_load_series_kw"][1:15]) <= 98.0 @test maximum(r["ElectricUtility"]["to_load_series_kw"][16:24]) <= 97.0 @@ -175,7 +177,7 @@ else # run HiGHS tests @testset "MPC Multi-node" begin # not doing much yet; just testing that two identical sites have the same costs - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) ps = MPCInputs[] push!(ps, MPCInputs("./scenarios/mpc_multinode1.json")); push!(ps, MPCInputs("./scenarios/mpc_multinode2.json")); @@ -183,6 +185,18 @@ else # run HiGHS tests @test r[1]["Costs"] ā‰ˆ r[2]["Costs"] end + @testset "Multinode with power flow" begin + inputs = JSON.parsefile("./scenarios/multinode_powerflow.json") + inputs["PMD_network_input"] = PowerModelsDistribution.parse_file("./data/multinode_powerflow_network.dss") + inputs["optimizer"] = HiGHS.Optimizer + + results, model, model_BAU = REopt.Multinode_Model(inputs) + + @test results["REopt_results"][6]["ElectricStorage"]["size_kw"] ā‰ˆ 22.54 atol=0.01 + @test results["REopt_results"][6]["ElectricStorage"]["size_kwh"] ā‰ˆ 55.34 atol=0.01 + + end + @testset "Complex Incentives" begin """ This test was compared against the API test: @@ -190,7 +204,7 @@ else # run HiGHS tests when using the hardcoded levelization_factor in this package's REoptInputs function. The two LCC's matched within 0.00005%. (The Julia pkg LCC is 1.0971991e7) """ - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, "./scenarios/incentives.json") @test results["Financial"]["lcc"] ā‰ˆ 1.096852612e7 atol=1e4 end @@ -199,7 +213,7 @@ else # run HiGHS tests d = JSON.parsefile("scenarios/no_techs.json") d["ElectricLoad"] = Dict("loads_kw" => repeat([1.0], 35040), "year" => 2017) d["Settings"] = Dict("time_steps_per_hour" => 4) - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, d) @test results["ElectricLoad"]["annual_calculated_kwh"] ā‰ˆ 8760 end @@ -408,7 +422,7 @@ else # run HiGHS tests ), ) p = REoptInputs(reopt_inputs) - model = Model(optimizer_with_attributes(HiGHS.Optimizer,"output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer,"output_flag" => false, "log_to_console" => false)) results = run_reopt(model, p) simresults = simulate_outages(results, p) @@ -441,7 +455,7 @@ else # run HiGHS tests reopt_inputs = JSON.parsefile("./scenarios/backup_reliability_reopt_inputs.json") reopt_inputs["ElectricLoad"]["annual_kwh"] = 4*reopt_inputs["ElectricLoad"]["annual_kwh"] p = REoptInputs(reopt_inputs) - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, p) simresults = simulate_outages(results, p) reliability_inputs = Dict( @@ -629,7 +643,7 @@ else # run HiGHS tests d["HotThermalStorage"]["max_gal"] = 0.0 s = Scenario(d) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, inputs) @test sum(results["ExistingBoiler"]["thermal_to_dhw_load_series_mmbtu_per_hour"]) ā‰ˆ 0.0 atol=0.01 @test sum(results["ExistingBoiler"]["thermal_to_space_heating_load_series_mmbtu_per_hour"]) ā‰ˆ 0.0 atol=0.01 @@ -644,14 +658,14 @@ else # run HiGHS tests @testset "Net Metering Limit and Wholesale" begin #case 1: net metering limit is met by PV d = JSON.parsefile("./scenarios/net_metering.json") - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, d) @test results["PV"]["size_kw"] ā‰ˆ 30.0 atol=1e-3 #case 2: wholesale rate is high, big-M is met d["ElectricTariff"]["wholesale_rate"] = 5.0 d["PV"]["can_wholesale"] = true - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, d) @test results["PV"]["size_kw"] ā‰ˆ 7440.0 atol=1e-3 #max benefit provides the upper bound @@ -659,7 +673,7 @@ else # run HiGHS tests d["ElectricTariff"]["wholesale_rate"] = 0 d["PV"]["min_kw"] = 50 d["Site"]["renewable_electricity_min_fraction"] = 0.35 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, d) @test sum(results["PV"]["electric_to_grid_series_kw"]) ā‰ˆ 0.0 atol=1e-3 @test results["ElectricTariff"]["lifecycle_export_benefit_after_tax"] ā‰ˆ 0.0 atol=1e-3 @@ -668,7 +682,7 @@ else # run HiGHS tests @testset "Heating loads and addressable load fraction" begin # Default LargeOffice CRB with SpaceHeatingLoad and DomesticHotWaterLoad are served by ExistingBoiler - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, "./scenarios/thermal_load.json") @test round(results["ExistingBoiler"]["annual_fuel_consumption_mmbtu"], digits=0) ā‰ˆ 12904 @@ -685,7 +699,7 @@ else # run HiGHS tests s = Scenario(data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, inputs) @test round(results["ExistingBoiler"]["annual_fuel_consumption_mmbtu"], digits=0) ā‰ˆ 8760 * (0.5 * 0.6 + 0.5 * 0.8 + 0.3 * 0.7) atol = 1.0 @@ -730,7 +744,7 @@ else # run HiGHS tests data_sizing = JSON.parsefile("./scenarios/chp_sizing.json") s = Scenario(data_sizing) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) results = run_reopt(m, inputs) @test round(results["CHP"]["size_kw"], digits=0) ā‰ˆ 263.0 atol=50.0 @@ -782,7 +796,7 @@ else # run HiGHS tests s = Scenario(data_cost_curve) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt(m, inputs) init_capex_total_expected = init_capex_chp_expected + init_capex_pv_expected @@ -837,7 +851,7 @@ else # run HiGHS tests s = Scenario(data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt(m, inputs) tot_elec_load = results["ElectricLoad"]["load_series_kw"] @@ -871,7 +885,7 @@ else # run HiGHS tests data["DomesticHotWaterLoad"]["fuel_loads_mmbtu_per_hour"] = repeat([6.0], 8760) data["SpaceHeatingLoad"]["fuel_loads_mmbtu_per_hour"] = repeat([6.0], 8760) #part 1: supplementary firing not used when less efficient than the boiler and expensive - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) s = Scenario(data) inputs = REoptInputs(s) results = run_reopt(m1, inputs) @@ -888,7 +902,7 @@ else # run HiGHS tests data["CHP"]["supplementary_firing_capital_cost_per_kw"] = 10 data["CHP"]["reduces_demand_charges"] = false data["ExistingBoiler"]["efficiency"] = 0.85 - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) s = Scenario(data) inputs = REoptInputs(s) results = run_reopt(m2, inputs) @@ -898,7 +912,7 @@ else # run HiGHS tests end @testset "CHP to Waste Heat" begin - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) d = JSON.parsefile("./scenarios/chp_waste.json") results = run_reopt(m, d) @test sum(results["CHP"]["thermal_curtailed_series_mmbtu_per_hour"]) ā‰ˆ 4174.455 atol=1e-3 @@ -911,8 +925,8 @@ else # run HiGHS tests s = Scenario(input_data) inputs = REoptInputs(s) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) results = run_reopt([m1,m2], inputs) @test abs(results["Financial"]["simple_payback_years"] - 8.12) <= 0.02 end @@ -954,8 +968,8 @@ else # run HiGHS tests "exogenous_inputs" => u ) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([m1,m2], d) @test (occursin("not supported by the solver", string(r["Messages"]["errors"])) || occursin("REopt scenarios solved either with errors or non-optimal solutions", string(r["Messages"]["errors"]))) # @test Meta.parse(r["FlexibleHVAC"]["purchased"]) === false @@ -964,8 +978,8 @@ else # run HiGHS tests # put in a time varying fuel cost, which should make purchasing the FlexibleHVAC system economical # with flat ElectricTariff the ExistingChiller does not benefit from FlexibleHVAC d["ExistingBoiler"]["fuel_cost_per_mmbtu"] = rand(Float64, (8760))*(50-5).+5; - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) r = run_reopt([m1,m2], d) @test (occursin("not supported by the solver", string(r["Messages"]["errors"])) || occursin("REopt scenarios solved either with errors or non-optimal solutions", string(r["Messages"]["errors"]))) # all of the savings are from the ExistingBoiler fuel costs @@ -975,8 +989,8 @@ else # run HiGHS tests # now increase the FlexibleHVAC installed_cost to the fuel costs savings + 100 and expect that the FlexibleHVAC is not purchased # d["FlexibleHVAC"]["installed_cost"] = fuel_cost_savings + 100 - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) r = run_reopt([m1,m2], d) @test (occursin("not supported by the solver", string(r["Messages"]["errors"])) || occursin("REopt scenarios solved either with errors or non-optimal solutions", string(r["Messages"]["errors"]))) # @test Meta.parse(r["FlexibleHVAC"]["purchased"]) === false @@ -985,8 +999,8 @@ else # run HiGHS tests # add TOU ElectricTariff and expect to benefit from using ExistingChiller intelligently d["ElectricTariff"] = Dict("urdb_label" => "5ed6c1a15457a3367add15ae") - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([m1,m2], d) @test (occursin("not supported by the solver", string(r["Messages"]["errors"])) || occursin("REopt scenarios solved either with errors or non-optimal solutions", string(r["Messages"]["errors"]))) @@ -1001,8 +1015,8 @@ else # run HiGHS tests # now increase the FlexibleHVAC installed_cost to the fuel costs savings + elec_cost_savings # + 100 and expect that the FlexibleHVAC is not purchased # d["FlexibleHVAC"]["installed_cost"] = fuel_cost_savings + elec_cost_savings + 100 - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([m1,m2], d) @test (occursin("not supported by the solver", string(r["Messages"]["errors"])) || occursin("REopt scenarios solved either with errors or non-optimal solutions", string(r["Messages"]["errors"]))) # @test Meta.parse(r["FlexibleHVAC"]["purchased"]) === false @@ -1016,7 +1030,7 @@ else # run HiGHS tests check to make sure that PV does NOT export unless the site load is met first for the month of January. =# @testset "Do not allow_simultaneous_export_import" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) data = JSON.parsefile("./scenarios/monthly_rate.json") # create wholesale_rate with compensation in January > retail rate @@ -1064,7 +1078,7 @@ else # run HiGHS tests # p.s.electric_tariff.energy_rates[2*t-1] = 0 # p.s.electric_tariff.energy_rates[2*t] = 10.0 # end - # m = Model(optimizer_with_attributes(Xpress.Optimizer, "OUTPUTLOG" => 0)) + # m = JuMP.Model(optimizer_with_attributes(Xpress.Optimizer, "OUTPUTLOG" => 0)) # results = run_reopt(m, p) # @test results["ElectricStorage"]["size_kw"] ā‰ˆ 11.13 atol=0.05 @@ -1085,8 +1099,8 @@ else # run HiGHS tests end @testset "Solar and ElectricStorage w/BAU and degradation" begin - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) d = JSON.parsefile("scenarios/pv_storage.json"); d["Settings"] = Dict{Any,Any}("add_soc_incentive" => false) results = run_reopt([m1,m2], d) @@ -1107,14 +1121,14 @@ else # run HiGHS tests d = JSON.parsefile("scenarios/pv_storage.json"); d["ElectricStorage"]["model_degradation"] = true - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r_degr = run_reopt(m, d) avg_soc_degr = sum(r_degr["ElectricStorage"]["soc_series_fraction"]) / 8760 @test avg_soc_no_degr > avg_soc_degr # test the replacement strategy ## Cannot test with open source solvers. # d["ElectricStorage"]["degradation"] = Dict("maintenance_strategy" => "replacement") - # m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + # m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) # set_optimizer_attribute(m, "mip_rel_gap", 0.01) # r = run_reopt(m, d) # @test occursin("not supported by the solver", string(r["Messages"]["errors"])) @@ -1128,15 +1142,15 @@ else # run HiGHS tests # test minimum_avg_soc_fraction d["ElectricStorage"]["minimum_avg_soc_fraction"] = 0.72 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) set_optimizer_attribute(m, "mip_rel_gap", 0.01) r = run_reopt(m, d) @test round(sum(r["ElectricStorage"]["soc_series_fraction"])/8760, digits=2) >= 0.72 end @testset "Outage with Generator, outage simulator, BAU critical load outputs" begin - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) p = REoptInputs("./scenarios/generator.json") results = run_reopt([m1,m2], p) @test results["Generator"]["size_kw"] ā‰ˆ 9.55 atol=0.01 @@ -1151,7 +1165,7 @@ else # run HiGHS tests @testset "Minimize Unserved Load" begin d = JSON.parsefile("./scenarios/outage.json") - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) results = run_reopt(m, d) @test results["Outages"]["expected_outage_cost"] ā‰ˆ 0 atol=0.1 @@ -1165,7 +1179,7 @@ else # run HiGHS tests d["Financial"]["microgrid_upgrade_cost_fraction"] = 0.3 d["PV"]["min_kw"] = 200.0 d["PV"]["max_kw"] = 200.0 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) results = run_reopt(m, d) @test value(m[:binMGTechUsed]["PV"]) ā‰ˆ 0 @test sum(results["Outages"]["unserved_load_per_outage_kwh"]) ā‰ˆ 24.16 atol=0.1 @@ -1174,25 +1188,25 @@ else # run HiGHS tests Scenario with $0.001/kWh value_of_lost_load_per_kwh, 12x169 hour outages, 1kW load/hour, and min_resil_time_steps = 168 - should meet 168 kWh in each outage such that the total unserved load is 12 kWh =# - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) results = run_reopt(m, "./scenarios/nogridcost_minresilhours.json") @test sum(results["Outages"]["unserved_load_per_outage_kwh"]) ā‰ˆ 12 # testing dvUnserved load, which would output 100 kWh for this scenario before output fix - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) results = run_reopt(m, "./scenarios/nogridcost_multiscenario.json") @test sum(results["Outages"]["unserved_load_per_outage_kwh"]) ā‰ˆ 60 @test results["Outages"]["expected_outage_cost"] ā‰ˆ 485.43270 atol=1.0e-5 #avg duration (3h) * load per time step (10) * present worth factor (16.18109) @test results["Outages"]["max_outage_cost_per_outage_duration"][1] ā‰ˆ 161.8109 atol=1.0e-5 # Scenario with generator, PV, electric storage - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) results = run_reopt(m, "./scenarios/outages_gen_pv_stor.json") @test results["Outages"]["expected_outage_cost"] ā‰ˆ 3.54476923e6 atol=10 @test results["Financial"]["lcc"] ā‰ˆ 8.63559824639e7 rtol=0.001 # Scenario with generator, PV, wind, electric storage - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) results = run_reopt(m, "./scenarios/outages_gen_pv_wind_stor.json") @test value(m[:binMGTechUsed]["Generator"]) ā‰ˆ 1 @test value(m[:binMGTechUsed]["PV"]) ā‰ˆ 1 @@ -1206,8 +1220,8 @@ else # run HiGHS tests input_data = JSON.parsefile("./scenarios/wind_outages.json") s = Scenario(input_data) inputs = REoptInputs(s) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) results = run_reopt([m1,m2], inputs) # Check that supply-to-load is equal to critical load during outages, including wind @@ -1222,7 +1236,7 @@ else # run HiGHS tests end @testset "Multiple Sites" begin - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) ps = [ REoptInputs("./scenarios/pv_storage.json"), REoptInputs("./scenarios/monthly_rate.json"), @@ -1234,7 +1248,7 @@ else # run HiGHS tests @testset verbose=true "Rate Structures" begin @testset "Tiered Energy" begin - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, "./scenarios/tiered_energy_rate.json") @test results["ElectricTariff"]["year_one_energy_cost_before_tax"] ā‰ˆ 2342.88 @test results["ElectricUtility"]["annual_energy_supplied_kwh"] ā‰ˆ 24000.0 atol=0.1 @@ -1250,7 +1264,7 @@ else # run HiGHS tests data["ElectricLoad"]["loads_kw"][8] = 100.0 data["ElectricLoad"]["year"] = 2022 inputs = REoptInputs(Scenario(data)) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, inputs) # Expected result is 100 kW demand for January, 35% of that for all other months and # with 5x other $10.5/kW cold months and 6x $11.5/kW warm months @@ -1270,7 +1284,7 @@ else # run HiGHS tests d["ElectricTariff"]["demand_lookback_months"] = [1,0,0,1,0,0,0,0,0,0,0,1] # Jan, April, Dec d["ElectricTariff"]["blended_annual_energy_rate"] = 0.01 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, REoptInputs(Scenario(d))) monthly_peaks = [300,300,300,400,300,500,300,300,300,300,300,300] # 300 = 400*0.75. Sets peak in all months excpet April and June @@ -1291,7 +1305,7 @@ else # run HiGHS tests d["ElectricTariff"]["blended_annual_energy_rate"] = 0.01 d["ElectricTariff"]["demand_lookback_range"] = 6 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, REoptInputs(Scenario(d))) monthly_peaks = [225, 225, 225, 400, 300, 500, 375, 375, 375, 375, 375, 375] @@ -1301,14 +1315,14 @@ else # run HiGHS tests end @testset "Blended tariff" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, "./scenarios/no_techs.json") @test results["ElectricTariff"]["year_one_energy_cost_before_tax"] ā‰ˆ 1000.0 @test results["ElectricTariff"]["year_one_demand_cost_before_tax"] ā‰ˆ 136.99 end @testset "Coincident Peak Charges" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, "./scenarios/coincident_peak.json") @test results["ElectricTariff"]["year_one_coincident_peak_cost_before_tax"] ā‰ˆ 15.0 end @@ -1316,7 +1330,7 @@ else # run HiGHS tests @testset "URDB sell rate" begin #= The URDB contains at least one "Customer generation" tariff that only has a "sell" key in the energyratestructure (the tariff tested here) =# - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) p = REoptInputs("./scenarios/URDB_customer_generation.json") results = run_reopt(model, p) @test results["PV"]["size_kw"] ā‰ˆ p.max_sizes["PV"] @@ -1327,7 +1341,7 @@ else # run HiGHS tests logger = SimpleLogger() with_logger(logger) do # Testing a 15-min post with a urdb_response with multiple n_energy_tiers - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.1)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.1)) p = REoptInputs("./scenarios/subhourly_with_urdb.json") results = run_reopt(model, p) @test length(p.s.electric_tariff.export_rates[:WHL]) ā‰ˆ 8760*4 @@ -1354,7 +1368,7 @@ else # run HiGHS tests @testset "Tiered TOU Demand" begin data = JSON.parsefile("./scenarios/tiered_tou_demand.json") - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(model, data) max_demand = data["ElectricLoad"]["annual_kwh"] / 8760 tier1_max = data["ElectricTariff"]["urdb_response"]["demandratestructure"][1][1]["max"] @@ -1365,7 +1379,7 @@ else # run HiGHS tests end # # tiered monthly demand rate TODO: expected results? - # m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + # m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) # data = JSON.parsefile("./scenarios/tiered_energy_rate.json") # data["ElectricTariff"]["urdb_label"] = "59bc22705457a3372642da67" # s = Scenario(data) @@ -1377,7 +1391,7 @@ else # run HiGHS tests d["ElectricTariff"] = Dict( "urdb_label" => "6272e4ae7eb76766c247d469" ) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, d) @test occursin("URDB energy tiers have non-standard units of", string(results["Messages"])) end @@ -1393,7 +1407,7 @@ else # run HiGHS tests end @testset "Wind" begin - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) d = JSON.parsefile("./scenarios/wind.json") results = run_reopt(m, d) @test results["Wind"]["size_kw"] ā‰ˆ 3752 atol=0.1 @@ -1413,12 +1427,12 @@ else # run HiGHS tests TODO: will these discrepancies be addressed once NMIL binaries are added? =# - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) d["Site"]["land_acres"] = 60 # = 2 MW (with 0.03 acres/kW) results = run_reopt(m, d) @test results["Wind"]["size_kw"] == 2000.0 # Wind should be constrained by land_acres - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) d["Wind"]["min_kw"] = 2001 # min_kw greater than land-constrained max should error results = run_reopt(m, d) @test "errors" āˆˆ keys(results["Messages"]) @@ -1428,8 +1442,8 @@ else # run HiGHS tests @testset "Multiple PVs" begin logger = SimpleLogger() with_logger(logger) do - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt([m1,m2], "./scenarios/multiple_pvs.json") ground_pv = results["PV"][findfirst(pv -> pv["name"] == "ground", results["PV"])] @@ -1450,7 +1464,7 @@ else # run HiGHS tests end @testset "Thermal Energy Storage + Absorption Chiller" begin - model = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + model = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) data = JSON.parsefile("./scenarios/thermal_storage.json") s = Scenario(data) p = REoptInputs(s) @@ -1527,7 +1541,7 @@ else # run HiGHS tests input_data = JSON.parsefile("./scenarios/heat_cool_energy_balance_inputs.json") s = Scenario(input_data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt(m, inputs) # Annual cooling **thermal** energy load of CRB is based on annual cooling electric energy (from CRB models) and a conditional COP depending on the peak cooling thermal load @@ -1827,8 +1841,8 @@ else # run HiGHS tests input_data["DomesticHotWaterLoad"]["annual_mmbtu"] = 0.5 * 8760 s = Scenario(input_data) inputs = REoptInputs(s) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt([m1,m2], inputs) # BAU boiler loads @@ -1846,7 +1860,7 @@ else # run HiGHS tests ## Scenario 1: Solar, Storage, Fixed Generator post_name = "off_grid.json" post = JSON.parsefile("./scenarios/$post_name") - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) scen = Scenario(post) r = run_reopt(m, scen) @@ -1879,7 +1893,7 @@ else # run HiGHS tests post["ElectricStorage"]["max_kw"] = 0.0 post["Generator"]["min_turn_down_fraction"] = 0.0 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, post) # Test generator outputs @@ -1902,14 +1916,14 @@ else # run HiGHS tests post["ElectricStorage"]["max_kw"] = 0.0 post["Generator"]["min_turn_down_fraction"] = 0.0 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, post) # Test generator outputs - @test typeof(r) == Model # this is true when the model is infeasible + @test typeof(r) == JuMP.Model # this is true when the model is infeasible ### Scenario 3: Indonesia. Wind (custom prod) and Generator only - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01, "presolve" => "on")) post_name = "wind_intl_offgrid.json" post = JSON.parsefile("./scenarios/$post_name") post["ElectricLoad"]["loads_kw"] = [10.0 for i in range(1,8760)] @@ -1982,8 +1996,8 @@ else # run HiGHS tests # Call REopt s = Scenario(input_data) inputs = REoptInputs(s) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt([m1,m2], inputs) ghp_option_chosen = results["GHP"]["ghp_option_chosen"] @@ -2022,7 +2036,7 @@ else # run HiGHS tests ghp_data = JSON.parsefile("scenarios/ghp_urbanopt.json") s = Scenario(ghp_data) ghp_inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt(m, ghp_inputs) ghp_lcc = results["Financial"]["lcc"] ghp_lccc = results["Financial"]["lifecycle_capital_costs"] @@ -2045,7 +2059,7 @@ else # run HiGHS tests ghx_data = JSON.parsefile("scenarios/ghx_urbanopt.json") s = Scenario(ghx_data) ghx_inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt(m, ghx_inputs) ghx_lcc = results["Financial"]["lcc"] ghx_lccc = results["Financial"]["lifecycle_capital_costs"] @@ -2069,8 +2083,8 @@ else # run HiGHS tests inputs = REoptInputs(input_data) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt([m1,m2], inputs) calculated_ghp_capital_costs = ((input_data["GHP"]["ghpghx_responses"][1]["outputs"]["number_of_boreholes"]* @@ -2109,8 +2123,8 @@ else # run HiGHS tests inputs = REoptInputs(input_data) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt([m1,m2], inputs) pop!(input_data["GHP"], "ghpghx_inputs", nothing) @@ -2134,7 +2148,7 @@ else # run HiGHS tests s_wwhp = Scenario(input_data_wwhp) inputs_wwhp = REoptInputs(s_wwhp) - m3 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m3 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results_wwhp = run_reopt(m3, inputs_wwhp) @@ -2172,8 +2186,8 @@ else # run HiGHS tests 3) International - all emissions should be zero unless provided """ - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) post_name = "cambium.json" post = JSON.parsefile("./scenarios/$post_name") @@ -2270,8 +2284,8 @@ else # run HiGHS tests inputs["Generator"]["fuel_avail_gal"] = 1000 end - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) results = run_reopt([m1, m2], inputs) if !isnothing(ER_target[i]) @@ -2345,8 +2359,8 @@ else # run HiGHS tests inputs["ElectricStorage"]["max_kwh"] = results["ElectricStorage"]["size_kwh"] inputs["Financial"]["CO2_cost_per_tonne"] = results["Financial"]["breakeven_cost_of_emissions_reduction_per_tonne_CO2"] inputs["Settings"]["include_climate_in_objective"] = true - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "presolve" => "on")) results = run_reopt([m1, m2], inputs) @test results["Financial"]["breakeven_cost_of_emissions_reduction_per_tonne_CO2"] ā‰ˆ inputs["Financial"]["CO2_cost_per_tonne"] atol=1e-1 elseif i == 3 @@ -2404,8 +2418,8 @@ else # run HiGHS tests input_data["DomesticHotWaterLoad"]["annual_mmbtu"] = heat_load_multiplier * dhw_load.annual_mmbtu / input_data["ExistingBoiler"]["efficiency"] s = Scenario(input_data) inputs = REoptInputs(s) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt([m1,m2], inputs) # The expected values below were directly copied from the REopt_API V2 expected values @@ -2499,7 +2513,7 @@ else # run HiGHS tests s = Scenario(input_data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false, "mip_rel_gap" => 0.01)) results = run_reopt(m, inputs) thermal_techs = ["ExistingBoiler", "CHP", "SteamTurbine"] @@ -2556,7 +2570,7 @@ else # run HiGHS tests d["ProcessHeatLoad"]["annual_mmbtu"] = 0.2 * 8760 s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) #first run: Boiler produces the required heat instead of the electric heater - electric heater should not be purchased @@ -2570,7 +2584,7 @@ else # run HiGHS tests d["ElectricTariff"]["monthly_energy_rates"] = [0,0,0,0,0,0,0,0,0,0,0,0] s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) annual_thermal_prod = 0.8 * 8760 #80% efficient boiler --> 0.8 MMBTU of heat load per hour @@ -2592,7 +2606,7 @@ else # run HiGHS tests d["SpaceHeatingLoad"]["annual_mmbtu"] = 1.0 * 8760 s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPSpaceHeater"]["size_ton"] ā‰ˆ 0.0 atol=0.1 @test results["ASHPSpaceHeater"]["annual_thermal_production_mmbtu"] ā‰ˆ 0.0 atol=0.1 @@ -2608,7 +2622,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) annual_thermal_prod = 0.8 * 8760 #80% efficient boiler --> 0.8 MMBTU of heat load per hour annual_ashp_consumption = sum(0.8 * REopt.KWH_PER_MMBTU / p.heating_cop["ASHPSpaceHeater"][ts] for ts in p.time_steps) @@ -2626,7 +2640,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) annual_ashp_consumption += 0.1 * sum(REopt.KWH_THERMAL_PER_TONHOUR / p.cooling_cop["ASHPSpaceHeater"][ts] for ts in p.time_steps) @@ -2641,7 +2655,7 @@ else # run HiGHS tests d["ExistingBoiler"]["fuel_cost_per_mmbtu"] = 0 s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPSpaceHeater"]["annual_electric_consumption_kwh"] ā‰ˆ annual_ashp_consumption rtol=1e-4 @test results["ASHPSpaceHeater"]["annual_thermal_production_tonhour"] ā‰ˆ 876.0 atol=1e-4 @@ -2655,7 +2669,7 @@ else # run HiGHS tests d["DomesticHotWaterLoad"]["annual_mmbtu"] = 0.5 * 8760 s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPWaterHeater"]["size_ton"] ā‰ˆ 0.0 atol=0.1 @test results["ASHPWaterHeater"]["annual_thermal_production_mmbtu"] ā‰ˆ 0.0 atol=0.1 @@ -2670,7 +2684,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) annual_thermal_prod = 0.4 * 8760 #80% efficient boiler --> 0.8 MMBTU of heat load per hour annual_ashp_consumption = sum(0.4 * REopt.KWH_PER_MMBTU / p.heating_cop["ASHPWaterHeater"][ts] for ts in p.time_steps) @@ -2695,7 +2709,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPWaterHeater"]["annual_electric_consumption_kwh"] ā‰ˆ sum(0.4 * REopt.KWH_PER_MMBTU / p.heating_cop["ASHPWaterHeater"][ts] for ts in p.time_steps) rtol=1e-4 @@ -2705,7 +2719,7 @@ else # run HiGHS tests d["ASHPSpaceHeater"]["force_into_system"] = false s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPWaterHeater"]["annual_electric_consumption_kwh"] ā‰ˆ sum(0.4 * REopt.KWH_PER_MMBTU / p.heating_cop["ASHPWaterHeater"][ts] for ts in p.time_steps) rtol=1e-4 @@ -2716,7 +2730,7 @@ else # run HiGHS tests d["ASHPWaterHeater"]["force_into_system"] = false s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPSpaceHeater"]["annual_thermal_production_mmbtu"] ā‰ˆ 0.4 * 8760 rtol=1e-4 @@ -2739,7 +2753,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) #Case 1: ASHP systems run to meet full site load as they are oversized and dispatch is forced @@ -2756,7 +2770,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) #Case 2: ASHP systems run to meet at capacity as they are undersized and dispatch is forced, Space Heater is heat only @@ -2770,7 +2784,7 @@ else # run HiGHS tests s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) #Case 3: ASHP present but does not run because dispatch is not forced and boiler fuel is cheap @@ -2786,7 +2800,7 @@ else # run HiGHS tests d["ASHPWaterHeater"]["min_ton"] = 0.0 s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["ASHPSpaceHeater"]["size_ton"] ā‰ˆ 0.0 atol=1e-4 @test results["ASHPWaterHeater"]["size_ton"] ā‰ˆ 0.0 atol=1e-4 @@ -2800,7 +2814,7 @@ else # run HiGHS tests d["Boiler"]["fuel_cost_per_mmbtu"] = 0.0 s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["Boiler"]["size_mmbtu_per_hour"] ā‰ˆ 24.0 atol=0.1 @@ -2820,7 +2834,7 @@ else # run HiGHS tests d["Boiler"]["can_serve_process_heat"] = true s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["Boiler"]["size_mmbtu_per_hour"] ā‰ˆ 8.0 atol=0.1 @test results["Boiler"]["annual_thermal_production_mmbtu"] ā‰ˆ 70080.0 atol=0.1 @@ -2838,7 +2852,7 @@ else # run HiGHS tests d["Boiler"]["can_serve_process_heat"] = false s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["Boiler"]["size_mmbtu_per_hour"] ā‰ˆ 16.0 atol=0.1 @test results["Boiler"]["annual_thermal_production_mmbtu"] ā‰ˆ 140160.0 atol=0.1 @@ -2858,7 +2872,7 @@ else # run HiGHS tests d["ExistingBoiler"]["retire_in_optimal"] = true s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["Boiler"]["size_mmbtu_per_hour"] ā‰ˆ 24.0 atol=0.1 @test results["Boiler"]["annual_thermal_production_mmbtu"] ā‰ˆ 210240.0 atol=0.1 @@ -2874,7 +2888,7 @@ else # run HiGHS tests d["ExistingBoiler"]["retire_in_optimal"] = false s = Scenario(d) p = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, p) @test results["Boiler"]["size_mmbtu_per_hour"] ā‰ˆ 0.0 atol=0.1 @test results["Boiler"]["annual_thermal_production_mmbtu"] ā‰ˆ 0.0 atol=0.1 @@ -2890,8 +2904,8 @@ else # run HiGHS tests d["Site"]["CO2_emissions_reduction_min_fraction"] = 0.50 s = Scenario(d) p = REoptInputs(s) - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) results = run_reopt([m1,m2], p) @test results["Boiler"]["size_mmbtu_per_hour"] ā‰ˆ 12.0 atol=0.1 @test results["Boiler"]["annual_thermal_production_mmbtu"] ā‰ˆ 105120.0 atol=0.1 @@ -2903,8 +2917,8 @@ else # run HiGHS tests # Throw a handled error d = JSON.parsefile("./scenarios/logger.json") - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([m1,m2], d) @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2914,7 +2928,7 @@ else # run HiGHS tests @test length(r["Messages"]["warnings"]) > 0 @test r["Messages"]["has_stacktrace"] == false - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, d) @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2927,8 +2941,8 @@ else # run HiGHS tests @test isa(REoptInputs(d), Dict) # Using filepath - n1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - n2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + n1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + n2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([n1,n2], "./scenarios/logger.json") @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2937,7 +2951,7 @@ else # run HiGHS tests @test length(r["Messages"]["errors"]) > 0 @test length(r["Messages"]["warnings"]) > 0 - n = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + n = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(n, "./scenarios/logger.json") @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2950,8 +2964,8 @@ else # run HiGHS tests d["ElectricLoad"]["doe_reference_name"] = "MidriseApartment" d["ElectricTariff"]["urdb_label"] = "62c70a6c40a0c425535d387x" - m1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - m2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([m1,m2], d) @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2960,7 +2974,7 @@ else # run HiGHS tests @test length(r["Messages"]["errors"]) > 0 @test length(r["Messages"]["warnings"]) > 0 - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, d) @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2973,8 +2987,8 @@ else # run HiGHS tests @test isa(REoptInputs(d), Dict) # Using filepath - n1 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) - n2 = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + n1 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + n2 = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt([n1,n2], "./scenarios/logger.json") @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -2983,7 +2997,7 @@ else # run HiGHS tests @test length(r["Messages"]["errors"]) > 0 @test length(r["Messages"]["warnings"]) > 0 - n = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + n = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(n, "./scenarios/logger.json") @test r["status"] == "error" @test "Messages" āˆˆ keys(r) @@ -3110,7 +3124,7 @@ else # run HiGHS tests d["ElectricStorage"]["max_duration_hours"] = 8 s = Scenario(d) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "output_flag" => false, "log_to_console" => false)) r = run_reopt(m, inputs) # Test battery size_kwh = size_hw * duration @test r["ElectricStorage"]["size_kw"]*8 - r["ElectricStorage"]["size_kwh"] ā‰ˆ 0.0 atol = 0.1 @@ -3140,7 +3154,7 @@ else # run HiGHS tests input_data["ElectricLoad"]["loads_kw"][31*24+29*24+3*24+16] = peak_load s = Scenario(input_data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, inputs) # TOU Energy charges @@ -3171,7 +3185,7 @@ else # run HiGHS tests input_data["ElectricLoad"]["loads_kw"][31*24+28*24+8] = peak_load s = Scenario(input_data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, inputs) flat_rate = input_data["ElectricTariff"]["urdb_response"]["flatdemandstructure"][3][1]["rate"] if year == 2024 # Leap year @@ -3199,7 +3213,7 @@ else # run HiGHS tests s = Scenario(input_data) inputs = REoptInputs(s) - m = Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) + m = JuMP.Model(optimizer_with_attributes(HiGHS.Optimizer, "mip_rel_gap" => 0.01, "output_flag" => false, "log_to_console" => false)) results = run_reopt(m, inputs) electric_load = results["ElectricLoad"]["load_series_kw"] @@ -3247,5 +3261,8 @@ else # run HiGHS tests @test s.cooling_load.loads_kw_thermal[end-24+1:end] == s.cooling_load.loads_kw_thermal[1:24] end + + + end end \ No newline at end of file diff --git a/test/scenarios/mpc_multinode1.json b/test/scenarios/mpc_multinode1.json index 14cbe1ff1..674b95fcb 100644 --- a/test/scenarios/mpc_multinode1.json +++ b/test/scenarios/mpc_multinode1.json @@ -108,5 +108,8 @@ 100, 100, 100, 100, 100, 100, 100, 100, 100], "export_limit_kw_by_time_step": [100, 100, 100, 100, 100, 100, 100, 100, 100, 90, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100] + }, + "Settings": { + "facilitymeter_node": "N/A" } } \ No newline at end of file diff --git a/test/scenarios/mpc_multinode2.json b/test/scenarios/mpc_multinode2.json index 56932d2b7..2b4212911 100644 --- a/test/scenarios/mpc_multinode2.json +++ b/test/scenarios/mpc_multinode2.json @@ -109,5 +109,8 @@ 100, 100, 100, 100, 100, 100, 100, 100, 100], "export_limit_kw_by_time_step": [100, 100, 100, 100, 100, 100, 100, 100, 100, 90, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100] + }, + "Settings": { + "facilitymeter_node": "N/A" } } \ No newline at end of file diff --git a/test/scenarios/multinode_powerflow.json b/test/scenarios/multinode_powerflow.json new file mode 100644 index 000000000..0cbdeb4ac --- /dev/null +++ b/test/scenarios/multinode_powerflow.json @@ -0,0 +1 @@ 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\ No newline at end of file