Fix some merge issues

Merge branch 'dev' into akazachk/formulations
Implement multiple formulations
2025-12-06 00:08:52 -06:00 · 2020-11-20 12:17:59 -06:00 · 2020-11-20 10:55:48 -06:00 · 2020-11-20 10:52:23 -06:00
321 changed files with 6906 additions and 5987 deletions
--- a/.JuliaFormatter.toml
+++ b/.JuliaFormatter.toml
@@ -1,5 +0,0 @@
-always_for_in = true
-always_use_return = true
-margin = 80
-remove_extra_newlines = true
-short_to_long_function_def = true
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -1,25 +0,0 @@
---
-name: Bug report
-about: Something is broken in the package
-title: ''
-labels: ''
-assignees: ''
-
---
-
-## Description
-
-A clear and concise description of what the bug is.
-
-## Steps to Reproduce
-
-Please describe how can the developers reproduce the problem in their own computers. Code snippets and sample input files are specially helpful. For example:
-
-1. Install the package
-2. Run the code below with the attached input file...
-3. The following error appears...
-
-## System Information
- - Operating System: [e.g. Ubuntu 20.04]
- - Julia version: [e.g. 1.4]
- - Package version: [e.g. 0.0.1]
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -1,8 +0,0 @@
-blank_issues_enabled: false
-contact_links:
-  - name: Feature Request
-    url: https://github.com/ANL-CEEESA/UnitCommitment.jl/discussions/categories/feature-requests
-    about:  Submit ideas for new features and small enhancements
-  - name: Help & FAQ
-    url: https://github.com/ANL-CEEESA/UnitCommitment.jl/discussions/categories/help-faq
-    about: Ask questions about the package and get help from the community
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -0,0 +1,28 @@
+name: Benchmark
+on: push
+jobs:
+  benchmark:
+    runs-on: [self-hosted, benchmark]
+    if: "contains(github.event.head_commit.message, '[benchmark]')"
+    timeout-minutes: 10080
+    steps:
+    - uses: actions/checkout@v1
+    - name: Benchmark
+      run: |
+        julia --project=@. -e 'using Pkg; Pkg.instantiate()'
+        make build/sysimage.so
+        make -C benchmark clean
+        make -C benchmark -kj4
+        make -C benchmark tables
+        make -C benchmark clean-mps clean-sol
+    - name: Upload logs
+      uses: actions/upload-artifact@v2
+      with:
+        name: Logs
+        path: benchmark/results/*
+    - name: Upload tables & charts
+      uses: actions/upload-artifact@v2
+      with:
+        name: Tables
+        path: benchmark/tables/*
+
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -1,28 +0,0 @@
-name: lint
-on:
-  push:
-  pull_request:
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: julia-actions/setup-julia@latest
-        with:
-          version: '1'
-      - uses: actions/checkout@v1
-      - name: Format check
-        shell: julia --color=yes {0}
-        run: |
-          using Pkg
-          Pkg.add(PackageSpec(name="JuliaFormatter", version="0.14.4"))
-          using JuliaFormatter
-          format("src", verbose=true)
-          format("test", verbose=true)
-          format("benchmark", verbose=true)
-          out = String(read(Cmd(`git diff`)))
-          if isempty(out)
-              exit(0)
-          end
-          @error "Some files have not been formatted !!!"
-          write(stdout, out)
-          exit(1)
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -1,16 +1,20 @@
 name: Tests
 on:
  push:
+    paths:
+      - '**.jl'
+      - '**.toml'
  pull_request:
-  schedule:
-    - cron: '45 10 * * *'
+    paths:
+      - '**.jl'
+      - '**.toml'
 jobs:
  test:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
-        julia-version: ['1.6', '1.7']
-        julia-arch: [x64]
+        julia-version: ['1.3', '1.4', '1']
+        julia-arch: [x64, x86]
        os: [ubuntu-latest, windows-latest, macOS-latest]
        exclude:
          - os: macOS-latest
--- a/.gitignore
+++ b/.gitignore
@@ -1,38 +1,16 @@
 *.bak
 *.gz
-*.ipynb
 *.lastrun
-*.mps
 *.so
-*/Manifest.toml
-.AppleDB
-.AppleDesktop
-.AppleDouble
-.DS_Store
-.DocumentRevisions-V100
-.LSOverride
-.Spotlight-V100
-.TemporaryItems
-.Trashes
-.VolumeIcon.icns
-._*
-.apdisk
-.com.apple.timemachine.donotpresent
-.fseventsd
+*.mps
+*.ipynb
 .ipy*
-.vscode
-Icon
-Manifest.toml
-Network Trash Folder
-TODO.md
-Temporary Items
 benchmark/results
 benchmark/runs
 benchmark/tables
-benchmark/tmp.json
 build
-docs/_build
 instances/**/*.json
 instances/_source
 local
 notebooks
+TODO.md
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,60 +1,11 @@
-# Changelog
+# UnitCommitment.jl

-All notable changes to this project will be documented in this file.
+### Version 0.1.1 (Nov 16, 2020)

- The format is based on [Keep a Changelog][changelog].
- This project adheres to [Semantic Versioning][semver].
- For versions before 1.0, we follow the [Pkg.jl convention][pkjjl]
-  that `0.a.b` is compatible with `0.a.c`.
+* Fixes to MATLAB and PGLIB-UC instances
+* Add OR-LIB and Tejada19 instances
+* Improve documentation

-[changelog]: https://keepachangelog.com/en/1.0.0/
-[semver]: https://semver.org/spec/v2.0.0.html
-[pkjjl]: https://pkgdocs.julialang.org/v1/compatibility/#compat-pre-1.0
+### Version 0.1.0 (Nov 6, 2020)

-## [0.2.2] - 2021-07-21
-### Fixed
- Fix small bug in validation scripts related to startup costs
- Fix duplicated startup constraints (@mtanneau, #12)
-
-## [0.2.1] - 2021-06-02
-### Added
- Add multiple ramping formulations (ArrCon2000, MorLatRam2013, DamKucRajAta2016, PanGua2016)
- Add multiple piecewise-linear costs formulations (Garver1962, CarArr2006, KnuOstWat2018)
- Allow benchmark scripts to compare multiple formulations
-
-## [0.2.0] - 2021-05-28
-### Added
- Add sub-hourly unit commitment.
- Add `UnitCommitment.write(filename, solution)`.
- Add current mathematical formulation to the documentation.
-
-### Changed
- Rename "Time (h)" parameter to "Time horizon (h)".
- Rename `UnitCommitment.get_solution` to `UnitCommitment.solution`, for better
-  consistency with JuMP style.
- Add an underscore to the name of all functions that do not appear in the
-  documentation (e.g. `something` becomes `_something`) These functions are not
-  part of the public API and may change without notice, even in PATCH releases.
- The function `UnitCommitment.build_model` now returns a plain JuMP model. The
-  struct `UnitCommitmentModel` has been completely removed. Accessing model
-  elements can now be accomplished as follows:
-    - `model.vars.x[idx]` becomes `model[:x][idx]`
-    - `model.eqs.y[idx]` becomes `model[:eq_y][idx]`
-    - `model.expr.z[idx]` becomes `model[:expr_z][idx]`
-    - `model.obj` becomes `model[:obj]`
-    - `model.isf` becomes `model[:isf]`
-    - `model.lodf` becomes `model[:lodf]`
-
-### Fixed
- Properly validate solutions with price-sensitive loads.
-
-## [0.1.1] - 2020-11-16
-### Added
- Add OR-LIB and Tejada19 instances.
- Improve documentation.
-
-## Fixed
- Fixes to MATLAB and PGLIB-UC instances.
-
-## [0.1.0] - 2020-11-06
- Initial public release.
+* Initial public release
--- a/30
+++ b/30
@@ -2,22 +2,28 @@
 # Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
 # Released under the modified BSD license. See COPYING.md for more details.

-VERSION := 0.2
+JULIA := julia --color=yes --project=@.
+MKDOCS := ~/.local/bin/mkdocs
+VERSION := 0.1
+
+build/sysimage.so: src/sysimage.jl Project.toml Manifest.toml
+	mkdir -p build
+	mkdir -p benchmark/results/test
+	cd benchmark; $(JULIA) --trace-compile=../build/precompile.jl run.jl test/case14.1.sol.json
+	$(JULIA) src/sysimage.jl

 clean:
-	rm -rfv build Manifest.toml test/Manifest.toml deps/formatter/build deps/formatter/Manifest.toml
+	rm -rf build/*

 docs:
-	cd docs; make clean; make dirhtml
-	rsync -avP --delete-after docs/_build/dirhtml/ ../docs/$(VERSION)/
+	$(MKDOCS) build -d ../docs/$(VERSION)/
+	rm ../docs/$(VERSION)/*.ipynb
 	
-format:
-	cd deps/formatter; ../../juliaw format.jl
+install-deps-docs:
+	pip install --user mkdocs mkdocs-cinder python-markdown-math

-test: test/Manifest.toml
-	./juliaw test/runtests.jl
+test: build/sysimage.so
+	@echo Running tests...
+	$(JULIA) --sysimage build/sysimage.so -e 'using Pkg; Pkg.test("UnitCommitment")' | tee build/test.log

-test/Manifest.toml: test/Project.toml
-	julia --project=test -e "using Pkg; Pkg.instantiate()"
-
-.PHONY: docs test format install-deps
+.PHONY: docs test
--- a/Manifest.toml
+++ b/Manifest.toml
@@ -0,0 +1,367 @@
+# This file is machine-generated - editing it directly is not advised
+
+[[Artifacts]]
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+git-tree-sha1 = "19c33675cdeb572c1b17f96c492459d4f4958036"
+uuid = "656ef2d0-ae68-5445-9ca0-591084a874a2"
+version = "0.3.10+0"
+
+[[OpenSpecFun_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "9db77584158d0ab52307f8c04f8e7c08ca76b5b3"
+uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e"
+version = "0.5.3+4"
+
+[[OrderedCollections]]
+git-tree-sha1 = "cf59cfed2e2c12e8a2ff0a4f1e9b2cd8650da6db"
+uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
+version = "1.3.2"
+
+[[Osi_jll]]
+deps = ["CoinUtils_jll", "CompilerSupportLibraries_jll", "Libdl", "OpenBLAS32_jll", "Pkg"]
+git-tree-sha1 = "bd436a97280df40938e66ae8d18e57aceb072856"
+uuid = "7da25872-d9ce-5375-a4d3-7a845f58efdd"
+version = "0.108.5+3"
+
+[[PackageCompiler]]
+deps = ["Libdl", "Pkg", "UUIDs"]
+git-tree-sha1 = "3eee77c94646163f15bd8626acf494360897f890"
+uuid = "9b87118b-4619-50d2-8e1e-99f35a4d4d9d"
+version = "1.2.3"
+
+[[Parsers]]
+deps = ["Dates"]
+git-tree-sha1 = "6fa4202675c05ba0f8268a6ddf07606350eda3ce"
+uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
+version = "1.0.11"
+
+[[Pkg]]
+deps = ["Dates", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "UUIDs"]
+uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+
+[[Printf]]
+deps = ["Unicode"]
+uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7"
+
+[[REPL]]
+deps = ["InteractiveUtils", "Markdown", "Sockets"]
+uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
+
+[[Random]]
+deps = ["Serialization"]
+uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+
+[[SHA]]
+uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
+
+[[Serialization]]
+uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
+
+[[SharedArrays]]
+deps = ["Distributed", "Mmap", "Random", "Serialization"]
+uuid = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
+
+[[Sockets]]
+uuid = "6462fe0b-24de-5631-8697-dd941f90decc"
+
+[[SparseArrays]]
+deps = ["LinearAlgebra", "Random"]
+uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+
+[[SpecialFunctions]]
+deps = ["OpenSpecFun_jll"]
+git-tree-sha1 = "d8d8b8a9f4119829410ecd706da4cc8594a1e020"
+uuid = "276daf66-3868-5448-9aa4-cd146d93841b"
+version = "0.10.3"
+
+[[StaticArrays]]
+deps = ["LinearAlgebra", "Random", "Statistics"]
+git-tree-sha1 = "da4cf579416c81994afd6322365d00916c79b8ae"
+uuid = "90137ffa-7385-5640-81b9-e52037218182"
+version = "0.12.5"
+
+[[Statistics]]
+deps = ["LinearAlgebra", "SparseArrays"]
+uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+
+[[Test]]
+deps = ["Distributed", "InteractiveUtils", "Logging", "Random"]
+uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[[TranscodingStreams]]
+deps = ["Random", "Test"]
+git-tree-sha1 = "7c53c35547de1c5b9d46a4797cf6d8253807108c"
+uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
+version = "0.9.5"
+
+[[UUIDs]]
+deps = ["Random", "SHA"]
+uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
+
+[[Unicode]]
+uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
+
+[[ZipFile]]
+deps = ["Libdl", "Printf", "Zlib_jll"]
+git-tree-sha1 = "c3a5637e27e914a7a445b8d0ad063d701931e9f7"
+uuid = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
+version = "0.9.3"
+
+[[Zlib_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "320228915c8debb12cb434c59057290f0834dbf6"
+uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
+version = "1.2.11+18"
--- a/Project.toml
+++ b/Project.toml
@@ -2,29 +2,34 @@ name = "UnitCommitment"
 uuid = "64606440-39ea-11e9-0f29-3303a1d3d877"
 authors = ["Santos Xavier, Alinson <axavier@anl.gov>"]
 repo = "https://github.com/ANL-CEEESA/UnitCommitment.jl"
-version = "0.2.2"
+version = "0.1.1"

 [deps]
 DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
-Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
-Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 GZip = "92fee26a-97fe-5a0c-ad85-20a5f3185b63"
 JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
 MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
+OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 PackageCompiler = "9b87118b-4619-50d2-8e1e-99f35a4d4d9d"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
-Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"

 [compat]
+Cbc = "0.7"
 DataStructures = "0.18"
-Distributions = "0.25"
 GZip = "0.5"
 JSON = "0.21"
-JuMP = "1"
-MathOptInterface = "1"
+JuMP = "0.21"
+MathOptInterface = "0.9"
 PackageCompiler = "1"
 julia = "1"
+
+[extras]
+Cbc = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = ["Cbc", "Test"]
--- a/README.md
+++ b/README.md
@@ -1,145 +1,44 @@
-<h1 align="center">UnitCommitment.jl</h1>
-<p align="center">
-  <a href="https://github.com/ANL-CEEESA/UnitCommitment.jl/actions?query=workflow%3ATest+branch%3Adev">
-    <img src="https://github.com/iSoron/UnitCommitment.jl/workflows/Tests/badge.svg"></img>
-  </a>
-  <a href="https://doi.org/10.5281/zenodo.4269874">
-    <img src="https://zenodo.org/badge/doi/10.5281/zenodo.4269874.svg" alt="DOI"></img>
-  </a>
-  <a href="https://github.com/ANL-CEEESA/UnitCommitment.jl/releases/">
-    <img src="https://img.shields.io/github/v/release/ANL-CEEESA/UnitCommitment.jl?include_prereleases&label=pre-release">
-  </a>
-  <a href="https://github.com/ANL-CEEESA/UnitCommitment.jl/discussions">
-    <img src="https://img.shields.io/badge/GitHub-Discussions-%23fc4ebc" />
-  </a>
-</p>
+<a href="https://github.com/ANL-CEEESA/UnitCommitment.jl/actions?query=workflow%3ATest+branch%3Adev"><img src="https://github.com/iSoron/UnitCommitment.jl/workflows/Tests/badge.svg"></img></a>
+<a href="https://github.com/ANL-CEEESA/UnitCommitment.jl/actions?query=workflow%3ABenchmark+branch%3Adev+is%3Asuccess"><img src="https://github.com/iSoron/UnitCommitment.jl/workflows/Benchmark/badge.svg"></img></a>
+<a href="https://doi.org/10.5281/zenodo.4269874"><img src="https://zenodo.org/badge/doi/10.5281/zenodo.4269874.svg" alt="DOI"></a>

-**UnitCommitment.jl** (UC.jl) is an optimization package for the Security-Constrained Unit Commitment Problem (SCUC), a fundamental optimization problem in power systems used, for example, to clear the day-ahead electricity markets. The package provides benchmark instances for the problem and Julia/JuMP implementations of state-of-the-art mixed-integer programming formulations.

-## Package Components
+# UnitCommitment.jl

-* **Data Format:** The package proposes an extensible and fully-documented JSON-based data format for SCUC, developed in collaboration with Independent System Operators (ISOs), which describes the most important aspects of the problem. The format supports the most common generator characteristics (including ramping, piecewise-linear production cost curves and time-dependent startup costs), as well as operating reserves, price-sensitive loads, transmission networks and contingencies.
-* **Benchmark Instances:** The package provides a diverse collection of large-scale benchmark instances collected from the literature, converted into a common data format, and extended using data-driven methods to make them more challenging and realistic.
-* **Model Implementation**: The package provides Julia/JuMP implementations of state-of-the-art formulations and solution methods for SCUC, including multiple ramping formulations ([ArrCon2000][ArrCon2000], [MorLatRam2013][MorLatRam2013], [DamKucRajAta2016][DamKucRajAta2016], [PanGua2016][PanGua2016]), multiple piecewise-linear costs formulations ([Gar1962][Gar1962], [CarArr2006][CarArr2006], [KnuOstWat2018][KnuOstWat2018]) and contingency screening methods ([XavQiuWanThi2019][XavQiuWanThi2019]). Our goal is to keep these implementations up-to-date as new methods are proposed in the literature.
+**UnitCommitment.jl** (UC.jl) is an optimization package for the Security-Constrained Unit Commitment Problem (SCUC), a fundamental optimization problem in power systems used, for example, to clear the day-ahead electricity markets. The package provides benchmark instances for the problem and JuMP implementations of state-of-the-art mixed-integer programming formulations.
+
+### Package Components
+
+* **Data Format:** The package proposes an extensible and fully-documented JSON-based data specification format for SCUC, developed in collaboration with Independent System Operators (ISOs), which describes the most important aspects of the problem. The format supports all the most common generator characteristics (including ramping, piecewise-linear production cost curves and time-dependent startup costs), as well as operating reserves, price-sensitive loads, transmission networks and contingencies.
+* **Benchmark Instances:** The package provides a diverse collection of large-scale benchmark instances collected from the literature and extended to make them more challenging and realistic.
+* **Model Implementation**: The package provides a Julia/JuMP implementation of state-of-the-art formulations and solution methods for SCUC. Our goal is to keep this implementation up-to-date, as new methods are proposed in the literature.
 * **Benchmark Tools:** The package provides automated benchmark scripts to accurately evaluate the performance impact of proposed code changes.

-[ArrCon2000]: https://doi.org/10.1109/59.871739
-[CarArr2006]: https://doi.org/10.1109/TPWRS.2006.876672
-[DamKucRajAta2016]: https://doi.org/10.1007/s10107-015-0919-9
-[Gar1962]: https://doi.org/10.1109/AIEEPAS.1962.4501405
-[KnuOstWat2018]: https://doi.org/10.1109/TPWRS.2017.2783850
-[MorLatRam2013]: https://doi.org/10.1109/TPWRS.2013.2251373
-[PanGua2016]: https://doi.org/10.1287/opre.2016.1520
-[XavQiuWanThi2019]: https://doi.org/10.1109/TPWRS.2019.2892620
+### Documentation

-## Sample Usage
+* [Usage](https://anl-ceeesa.github.io/UnitCommitment.jl/0.1/usage/)
+* [Data Format](https://anl-ceeesa.github.io/UnitCommitment.jl/0.1/format/)
+* [Instances](https://anl-ceeesa.github.io/UnitCommitment.jl/0.1/instances/)

-```julia
-using Cbc
-using JuMP
-using UnitCommitment
-
-import UnitCommitment:
-    Formulation,
-    KnuOstWat2018,
-    MorLatRam2013,
-    ShiftFactorsFormulation
-
-# Read benchmark instance
-instance = UnitCommitment.read_benchmark(
-    "matpower/case118/2017-02-01",
-)
-
-# Construct model (using state-of-the-art defaults)
-model = UnitCommitment.build_model(
-    instance = instance,
-    optimizer = Cbc.Optimizer,
-)
-
-# Construct model (using customized formulation)
-model = UnitCommitment.build_model(
-    instance = instance,
-    optimizer = Cbc.Optimizer,
-    formulation = Formulation(
-        pwl_costs = KnuOstWat2018.PwlCosts(),
-        ramping = MorLatRam2013.Ramping(),
-        startup_costs = MorLatRam2013.StartupCosts(),
-        transmission = ShiftFactorsFormulation(
-            isf_cutoff = 0.005,
-            lodf_cutoff = 0.001,
-        ),
-    ),
-)
-
-# Modify the model (e.g. add custom constraints)
-@constraint(
-    model,
-    model[:is_on]["g3", 1] + model[:is_on]["g4", 1] <= 1,
-)
-
-# Solve model
-UnitCommitment.optimize!(model)
-
-# Extract solution
-solution = UnitCommitment.solution(model)
-UnitCommitment.write("/tmp/output.json", solution)
-```
-
-## Documentation
-
-1. [Usage](https://anl-ceeesa.github.io/UnitCommitment.jl/0.2/usage/)
-2. [Data Format](https://anl-ceeesa.github.io/UnitCommitment.jl/0.2/format/)
-3. [Instances](https://anl-ceeesa.github.io/UnitCommitment.jl/0.2/instances/)
-4. [JuMP Model](https://anl-ceeesa.github.io/UnitCommitment.jl/0.2/model/)
-
-## Authors
-* **Alinson S. Xavier** (Argonne National Laboratory)
-* **Aleksandr M. Kazachkov** (University of Florida)
-* **Ogün Yurdakul** (Technische Universität Berlin)
+### Authors
+* **Alinson Santos Xavier** (Argonne National Laboratory)
 * **Feng Qiu** (Argonne National Laboratory)

-## Acknowledgments
+### Acknowledgments

-* We would like to **Yonghong Chen** (Midcontinent Independent System Operator), **Feng Pan** (Pacific Northwest National Laboratory) for valuable feedback on early versions of this package.
+* We would like to thank **Aleksandr M. Kazachkov** (University of Florida), **Yonghong Chen** (Midcontinent Independent System Operator), **Feng Pan** (Pacific Northwest National Laboratory) for valuable feedback on early versions of this package.

-* Based upon work supported by **Laboratory Directed Research and Development** (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357
+* Based upon work supported by **Laboratory Directed Research and Development** (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357.

-* Based upon work supported by the **U.S. Department of Energy Advanced Grid Modeling Program** under Grant DE-OE0000875.
+### Citing

-## Citing
+If you use UnitCommitment.jl in your research, we request that you cite the package as follows:

-If you use UnitCommitment.jl in your research (instances, models or algorithms), we kindly request that you cite the package as follows:
+* **Alinson S. Xavier, Feng Qiu**. "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment". Zenodo (2020). [DOI: 10.5281/zenodo.4269874](https://doi.org/10.5281/zenodo.4269874).

-* **Alinson S. Xavier, Aleksandr M. Kazachkov, Feng Qiu**. "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment". Zenodo (2020). [DOI: 10.5281/zenodo.4269874](https://doi.org/10.5281/zenodo.4269874).
+If you make use of the provided instances files, we request that you additionally cite the original sources, as described in the [instances page](https://anl-ceeesa.github.io/UnitCommitment.jl/0.1/instances/).

-If you use the instances, we additionally request that you cite the original sources, as described in the [instances page](docs/instances.md).
+### License

-## License
-
-```text
-UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment
-Copyright © 2020-2021, UChicago Argonne, 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:
-
-1. Redistributions of source code must retain the above copyright notice, this list of
-   conditions and the following disclaimer.
-2. 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.
-3. 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.
-```
+Released under the modified BSD license. See `LICENSE.md` for more details.

--- a/benchmark/Makefile
+++ b/benchmark/Makefile
@@ -0,0 +1,327 @@
+# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
+# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
+# Released under the modified BSD license. See COPYING.md for more details.
+
+SHELL := /bin/bash
+JULIA := julia --project=. --sysimage ../build/sysimage.so
+TIMESTAMP := $(shell date "+%Y-%m-%d %H:%M")
+SRC_FILES := $(wildcard ../src/*.jl)
+DEST := .
+FORMULATION := tight
+results_dir := results_$(FORMULATION)
+
+INSTANCES_PGLIB := \
+        pglib-uc/ca/2014-09-01_reserves_0 \
+        pglib-uc/ca/2014-09-01_reserves_1 \
+        pglib-uc/ca/2015-03-01_reserves_0 \
+        pglib-uc/ca/2015-06-01_reserves_0 \
+        pglib-uc/ca/Scenario400_reserves_1 \
+        pglib-uc/ferc/2015-01-01_lw \
+        pglib-uc/ferc/2015-05-01_lw \
+        pglib-uc/ferc/2015-07-01_hw \
+        pglib-uc/ferc/2015-10-01_lw \
+        pglib-uc/ferc/2015-12-01_lw \
+        pglib-uc/rts_gmlc/2020-04-03 \
+        pglib-uc/rts_gmlc/2020-09-20 \
+        pglib-uc/rts_gmlc/2020-10-27 \
+        pglib-uc/rts_gmlc/2020-11-25 \
+        pglib-uc/rts_gmlc/2020-12-23
+
+INSTANCES_MATPOWER := \
+	matpower/case118/2017-02-01 \
+	matpower/case118/2017-08-01 \
+	matpower/case300/2017-02-01 \
+	matpower/case300/2017-08-01 \
+	matpower/case1354pegase/2017-02-01 \
+	matpower/case1888rte/2017-02-01 \
+	matpower/case1951rte/2017-08-01 \
+	matpower/case2848rte/2017-02-01 \
+	matpower/case2868rte/2017-08-01 \
+	matpower/case3375wp/2017-08-01 \
+	matpower/case6468rte/2017-08-01 \
+	matpower/case6515rte/2017-08-01
+
+INSTANCES_INFORMS1 := \
+  matpower/case1888rte/2017-01-01 \
+  matpower/case1888rte/2017-01-02 \
+  matpower/case1888rte/2017-01-03 \
+  matpower/case1888rte/2017-01-04 \
+  matpower/case1888rte/2017-01-05 \
+  matpower/case1888rte/2017-01-06 \
+  matpower/case1888rte/2017-01-07 \
+  matpower/case1888rte/2017-01-08 \
+  matpower/case1888rte/2017-01-09 \
+  matpower/case1888rte/2017-01-10 \
+  matpower/case1888rte/2017-01-11 \
+  matpower/case1888rte/2017-01-12 \
+  matpower/case1888rte/2017-01-13 \
+  matpower/case1888rte/2017-01-14 \
+  matpower/case1888rte/2017-01-15 \
+  matpower/case1888rte/2017-01-16 \
+  matpower/case1888rte/2017-01-17 \
+  matpower/case1888rte/2017-01-18 \
+  matpower/case1888rte/2017-01-19 \
+  matpower/case1888rte/2017-01-20 \
+  matpower/case1888rte/2017-01-21 \
+  matpower/case1888rte/2017-01-22 \
+  matpower/case1888rte/2017-01-23 \
+  matpower/case1888rte/2017-01-24 \
+  matpower/case1888rte/2017-01-25 \
+  matpower/case1888rte/2017-01-26 \
+  matpower/case1888rte/2017-01-27 \
+  matpower/case1888rte/2017-01-28 \
+  matpower/case1888rte/2017-01-29 \
+  matpower/case1888rte/2017-01-30 \
+  matpower/case1888rte/2017-01-31 \
+  matpower/case1888rte/2017-02-01 \
+  matpower/case1888rte/2017-02-02 \
+  matpower/case1888rte/2017-02-03 \
+  matpower/case1888rte/2017-02-04 \
+  matpower/case1888rte/2017-02-05 \
+  matpower/case1888rte/2017-02-06 \
+  matpower/case1888rte/2017-02-07 \
+  matpower/case1888rte/2017-02-08 \
+  matpower/case1888rte/2017-02-09 \
+  matpower/case1888rte/2017-02-10 \
+  matpower/case1888rte/2017-02-11 \
+  matpower/case1888rte/2017-02-12 \
+  matpower/case1888rte/2017-02-13 \
+  matpower/case1888rte/2017-02-14 \
+  matpower/case1888rte/2017-02-15 \
+  matpower/case1888rte/2017-02-16 \
+  matpower/case1888rte/2017-02-17 \
+  matpower/case1888rte/2017-02-18 \
+  matpower/case1888rte/2017-02-19 \
+  matpower/case1888rte/2017-02-20 \
+  matpower/case1888rte/2017-02-21 \
+  matpower/case1888rte/2017-02-22 \
+  matpower/case1888rte/2017-02-23 \
+  matpower/case1888rte/2017-02-24 \
+  matpower/case1888rte/2017-02-25 \
+  matpower/case1888rte/2017-02-26 \
+  matpower/case1888rte/2017-02-27 \
+  matpower/case1888rte/2017-02-28 \
+  matpower/case1888rte/2017-03-01
+
+INSTANCES_INFORMS2 := \
+  matpower/case3375wp/2017-01-01 \
+  matpower/case3375wp/2017-01-02 \
+  matpower/case3375wp/2017-01-03 \
+  matpower/case3375wp/2017-01-04 \
+  matpower/case3375wp/2017-01-05 \
+  matpower/case3375wp/2017-01-06 \
+  matpower/case3375wp/2017-01-07 \
+  matpower/case3375wp/2017-01-08 \
+  matpower/case3375wp/2017-01-09 \
+  matpower/case3375wp/2017-01-10 \
+  matpower/case3375wp/2017-01-11 \
+  matpower/case3375wp/2017-01-12 \
+  matpower/case3375wp/2017-01-13 \
+  matpower/case3375wp/2017-01-14 \
+  matpower/case3375wp/2017-01-15 \
+  matpower/case3375wp/2017-01-16 \
+  matpower/case3375wp/2017-01-17 \
+  matpower/case3375wp/2017-01-18 \
+  matpower/case3375wp/2017-01-19 \
+  matpower/case3375wp/2017-01-20 \
+  matpower/case3375wp/2017-01-21 \
+  matpower/case3375wp/2017-01-22 \
+  matpower/case3375wp/2017-01-23 \
+  matpower/case3375wp/2017-01-24 \
+  matpower/case3375wp/2017-01-25 \
+  matpower/case3375wp/2017-01-26 \
+  matpower/case3375wp/2017-01-27 \
+  matpower/case3375wp/2017-01-28 \
+  matpower/case3375wp/2017-01-29 \
+  matpower/case3375wp/2017-01-30 \
+  matpower/case3375wp/2017-01-31 \
+  matpower/case3375wp/2017-02-01 \
+  matpower/case3375wp/2017-02-02 \
+  matpower/case3375wp/2017-02-03 \
+  matpower/case3375wp/2017-02-04 \
+  matpower/case3375wp/2017-02-05 \
+  matpower/case3375wp/2017-02-06 \
+  matpower/case3375wp/2017-02-07 \
+  matpower/case3375wp/2017-02-08 \
+  matpower/case3375wp/2017-02-09 \
+  matpower/case3375wp/2017-02-10 \
+  matpower/case3375wp/2017-02-11 \
+  matpower/case3375wp/2017-02-12 \
+  matpower/case3375wp/2017-02-13 \
+  matpower/case3375wp/2017-02-14 \
+  matpower/case3375wp/2017-02-15 \
+  matpower/case3375wp/2017-02-16 \
+  matpower/case3375wp/2017-02-17 \
+  matpower/case3375wp/2017-02-18 \
+  matpower/case3375wp/2017-02-19 \
+  matpower/case3375wp/2017-02-20 \
+  matpower/case3375wp/2017-02-21 \
+  matpower/case3375wp/2017-02-22 \
+  matpower/case3375wp/2017-02-23 \
+  matpower/case3375wp/2017-02-24 \
+  matpower/case3375wp/2017-02-25 \
+  matpower/case3375wp/2017-02-26 \
+  matpower/case3375wp/2017-02-27 \
+  matpower/case3375wp/2017-02-28 \
+  matpower/case3375wp/2017-03-01
+
+INSTANCES_INFORMS3 := \
+  matpower/case6468rte/2017-01-01 \
+  matpower/case6468rte/2017-01-02 \
+  matpower/case6468rte/2017-01-03 \
+  matpower/case6468rte/2017-01-04 \
+  matpower/case6468rte/2017-01-05 \
+  matpower/case6468rte/2017-01-06 \
+  matpower/case6468rte/2017-01-07 \
+  matpower/case6468rte/2017-01-08 \
+  matpower/case6468rte/2017-01-09 \
+  matpower/case6468rte/2017-01-10 \
+  matpower/case6468rte/2017-01-11 \
+  matpower/case6468rte/2017-01-12 \
+  matpower/case6468rte/2017-01-13 \
+  matpower/case6468rte/2017-01-14 \
+  matpower/case6468rte/2017-01-15 \
+  matpower/case6468rte/2017-01-16 \
+  matpower/case6468rte/2017-01-17 \
+  matpower/case6468rte/2017-01-18 \
+  matpower/case6468rte/2017-01-19 \
+  matpower/case6468rte/2017-01-20 \
+  matpower/case6468rte/2017-01-21 \
+  matpower/case6468rte/2017-01-22 \
+  matpower/case6468rte/2017-01-23 \
+  matpower/case6468rte/2017-01-24 \
+  matpower/case6468rte/2017-01-25 \
+  matpower/case6468rte/2017-01-26 \
+  matpower/case6468rte/2017-01-27 \
+  matpower/case6468rte/2017-01-28 \
+  matpower/case6468rte/2017-01-29 \
+  matpower/case6468rte/2017-01-30 \
+  matpower/case6468rte/2017-01-31 \
+  matpower/case6468rte/2017-02-01 \
+  matpower/case6468rte/2017-02-02 \
+  matpower/case6468rte/2017-02-03 \
+  matpower/case6468rte/2017-02-04 \
+  matpower/case6468rte/2017-02-05 \
+  matpower/case6468rte/2017-02-06 \
+  matpower/case6468rte/2017-02-07 \
+  matpower/case6468rte/2017-02-08 \
+  matpower/case6468rte/2017-02-09 \
+  matpower/case6468rte/2017-02-10 \
+  matpower/case6468rte/2017-02-11 \
+  matpower/case6468rte/2017-02-12 \
+  matpower/case6468rte/2017-02-13 \
+  matpower/case6468rte/2017-02-14 \
+  matpower/case6468rte/2017-02-15 \
+  matpower/case6468rte/2017-02-16 \
+  matpower/case6468rte/2017-02-17 \
+  matpower/case6468rte/2017-02-18 \
+  matpower/case6468rte/2017-02-19 \
+  matpower/case6468rte/2017-02-20 \
+  matpower/case6468rte/2017-02-21 \
+  matpower/case6468rte/2017-02-22 \
+  matpower/case6468rte/2017-02-23 \
+  matpower/case6468rte/2017-02-24 \
+  matpower/case6468rte/2017-02-25 \
+  matpower/case6468rte/2017-02-26 \
+  matpower/case6468rte/2017-02-27 \
+  matpower/case6468rte/2017-02-28 \
+  matpower/case6468rte/2017-03-01
+
+INSTANCES_TEST := \
+	test/case14
+
+#SAMPLES := 1 2 3
+SAMPLES := 1
+SOLUTIONS_MATPOWER := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_MATPOWER))))
+SOLUTIONS_PGLIB := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_PGLIB))))
+SOLUTIONS_INFORMS1 := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_INFORMS1))))
+SOLUTIONS_INFORMS2 := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_INFORMS2))))
+SOLUTIONS_INFORMS3 := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_INFORMS3))))
+SOLUTIONS_TEST := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_TEST))))
+
+.PHONY: tables save small large clean-mps matpower pglib informs1 informs2 informs3 test pglib orlib
+
+INSTANCES_ORLIB := \
+	or-lib/20_0_1_w \
+	or-lib/20_0_5_w \
+	or-lib/50_0_2_w \
+	or-lib/75_0_2_w \
+	or-lib/100_0_1_w \
+	or-lib/100_0_4_w \
+	or-lib/100_0_5_w \
+	or-lib/200_0_3_w \
+	or-lib/200_0_7_w \
+	or-lib/200_0_9_w
+
+INSTANCES_TEJADA19 := \
+	tejada19/UC_24h_290g \
+	tejada19/UC_24h_623g \
+	tejada19/UC_24h_959g \
+	tejada19/UC_24h_1577g \
+	tejada19/UC_24h_1888g \
+	tejada19/UC_168h_72g \
+	tejada19/UC_168h_86g \
+	tejada19/UC_168h_130g \
+	tejada19/UC_168h_131g \
+	tejada19/UC_168h_199g
+
+SOLUTIONS_ORLIB := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_ORLIB))))
+SOLUTIONS_TEJADA19 := $(foreach s,$(SAMPLES),$(addprefix $(results_dir)/,$(addsuffix .$(s).sol.json,$(INSTANCES_TEJADA19))))
+
+all: matpower pglib orlib tejada19
+
+matpower: $(SOLUTIONS_MATPOWER)
+
+pglib: $(SOLUTIONS_PGLIB)
+
+informs1: $(SOLUTIONS_INFORMS1)
+informs2: $(SOLUTIONS_INFORMS2)
+informs3: $(SOLUTIONS_INFORMS3)
+
+test: $(SOLUTIONS_TEST)
+
+orlib: $(SOLUTIONS_ORLIB)
+
+tejada19: $(SOLUTIONS_TEJADA19)
+
+clean:
+	@rm -rf tables/benchmark* tables/compare* $(results_dir)
+    
+clean-mps:
+	@rm -fv $(results_dir)/*/*.mps.gz results/*/*/*.mps.gz
+
+clean-sol:
+	@rm -rf $(results_dir)/*/*.sol.* results/*/*/*.sol.*
+        
+save:
+	mkdir -p "runs/$(TIMESTAMP)"
+	rsync -avP $(results_dir) tables "runs/$(TIMESTAMP)/"
+
+results/%.sol.json: run.jl
+	@echo "run  $*"
+	@mkdir -p $(dir $(DEST)/$(results_dir)/$*)
+	@$(JULIA) run.jl $* default $(DEST)/$(results_dir) 2>&1 | cat > $(DEST)/$(results_dir)/$*.log
+	@echo "run  $* [done]"
+
+results_tight/%.sol.json: run.jl
+	@echo "run  $*"
+	@mkdir -p $(dir $(DEST)/$(results_dir)/$*)
+	@$(JULIA) run.jl $* tight $(DEST)/$(results_dir) 2>&1 | cat > $(DEST)/$(results_dir)/$*.log
+	@echo "run  $* [done]"
+
+results_default/%.sol.json: run.jl
+	@echo "run  $*"
+	@mkdir -p $(dir $(DEST)/$(results_dir)/$*)
+	@$(JULIA) run.jl $* default $(DEST)/$(results_dir) 2>&1 | cat > $(DEST)/$(results_dir)/$*.log
+	@echo "run  $* [done]"
+
+results_sparse/%.sol.json: run.jl
+	@echo "run  $*"
+	@mkdir -p $(dir $(DEST)/$(results_dir)/$*)
+	@$(JULIA) run.jl $* sparse $(DEST)/$(results_dir) 2>&1 | cat > $(DEST)/$(results_dir)/$*.log
+	@echo "run  $* [done]"
+
+tables:
+	@mkdir -p tables
+	@python scripts/table.py
+	#@python scripts/compare.py tables/reference.csv tables/benchmark.csv
--- a/benchmark/Manifest.toml
+++ b/benchmark/Manifest.toml
@@ -0,0 +1,389 @@
+# This file is machine-generated - editing it directly is not advised
+
+[[Artifacts]]
+deps = ["Pkg"]
+git-tree-sha1 = "c30985d8821e0cd73870b17b0ed0ce6dc44cb744"
+uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
+version = "1.3.0"
+
+[[Base64]]
+uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
+
+[[BenchmarkTools]]
+deps = ["JSON", "Logging", "Printf", "Statistics", "UUIDs"]
+git-tree-sha1 = "9e62e66db34540a0c919d72172cc2f642ac71260"
+uuid = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+version = "0.5.0"
+
+[[BinaryProvider]]
+deps = ["Libdl", "Logging", "SHA"]
+git-tree-sha1 = "ecdec412a9abc8db54c0efc5548c64dfce072058"
+uuid = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
+version = "0.5.10"
+
+[[Bzip2_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "c3598e525718abcc440f69cc6d5f60dda0a1b61e"
+uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0"
+version = "1.0.6+5"
+
+[[CEnum]]
+git-tree-sha1 = "215a9aa4a1f23fbd05b92769fdd62559488d70e9"
+uuid = "fa961155-64e5-5f13-b03f-caf6b980ea82"
+version = "0.4.1"
+
+[[Calculus]]
+deps = ["LinearAlgebra"]
+git-tree-sha1 = "f641eb0a4f00c343bbc32346e1217b86f3ce9dad"
+uuid = "49dc2e85-a5d0-5ad3-a950-438e2897f1b9"
+version = "0.5.1"
+
+[[Cbc]]
+deps = ["BinaryProvider", "CEnum", "Cbc_jll", "Libdl", "MathOptInterface", "SparseArrays"]
+git-tree-sha1 = "929d0500c50387e7ac7ae9956ca7d7ce5312c90d"
+uuid = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
+version = "0.7.1"
+
+[[Cbc_jll]]
+deps = ["Cgl_jll", "Clp_jll", "CoinUtils_jll", "CompilerSupportLibraries_jll", "Libdl", "OpenBLAS32_jll", "Osi_jll", "Pkg"]
+git-tree-sha1 = "16b8ffa56b3ded6b201aa2f50623f260448aa205"
+uuid = "38041ee0-ae04-5750-a4d2-bb4d0d83d27d"
+version = "2.10.3+4"
+
+[[Cgl_jll]]
+deps = ["Clp_jll", "CompilerSupportLibraries_jll", "Libdl", "Pkg"]
+git-tree-sha1 = "32be20ec1e4c40e5c5d1bbf949ba9918a92a7569"
+uuid = "3830e938-1dd0-5f3e-8b8e-b3ee43226782"
+version = "0.60.2+5"
+
+[[Clp_jll]]
+deps = ["CoinUtils_jll", "CompilerSupportLibraries_jll", "Libdl", "OpenBLAS32_jll", "Osi_jll", "Pkg"]
+git-tree-sha1 = "79263d9383ca89b35f31c33ab5b880536a8413a4"
+uuid = "06985876-5285-5a41-9fcb-8948a742cc53"
+version = "1.17.6+6"
+
+[[CodecBzip2]]
+deps = ["Bzip2_jll", "Libdl", "TranscodingStreams"]
+git-tree-sha1 = "2e62a725210ce3c3c2e1a3080190e7ca491f18d7"
+uuid = "523fee87-0ab8-5b00-afb7-3ecf72e48cfd"
+version = "0.7.2"
+
+[[CodecZlib]]
+deps = ["TranscodingStreams", "Zlib_jll"]
+git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da"
+uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
+version = "0.7.0"
+
+[[CoinUtils_jll]]
+deps = ["CompilerSupportLibraries_jll", "Libdl", "OpenBLAS32_jll", "Pkg"]
+git-tree-sha1 = "ee1f06ab89337b7f194c29377ab174e752cdf60d"
+uuid = "be027038-0da8-5614-b30d-e42594cb92df"
+version = "2.11.3+3"
+
+[[CommonSubexpressions]]
+deps = ["MacroTools", "Test"]
+git-tree-sha1 = "7b8a93dba8af7e3b42fecabf646260105ac373f7"
+uuid = "bbf7d656-a473-5ed7-a52c-81e309532950"
+version = "0.3.0"
+
+[[CompilerSupportLibraries_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "8e695f735fca77e9708e795eda62afdb869cbb70"
+uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
+version = "0.3.4+0"
+
+[[DataStructures]]
+deps = ["InteractiveUtils", "OrderedCollections"]
+git-tree-sha1 = "88d48e133e6d3dd68183309877eac74393daa7eb"
+uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
+version = "0.17.20"
+
+[[Dates]]
+deps = ["Printf"]
+uuid = "ade2ca70-3891-5945-98fb-dc099432e06a"
+
+[[DiffResults]]
+deps = ["StaticArrays"]
+git-tree-sha1 = "da24935df8e0c6cf28de340b958f6aac88eaa0cc"
+uuid = "163ba53b-c6d8-5494-b064-1a9d43ac40c5"
+version = "1.0.2"
+
+[[DiffRules]]
+deps = ["NaNMath", "Random", "SpecialFunctions"]
+git-tree-sha1 = "eb0c34204c8410888844ada5359ac8b96292cfd1"
+uuid = "b552c78f-8df3-52c6-915a-8e097449b14b"
+version = "1.0.1"
+
+[[Distributed]]
+deps = ["Random", "Serialization", "Sockets"]
+uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+
+[[DocStringExtensions]]
+deps = ["LibGit2", "Markdown", "Pkg", "Test"]
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+uuid = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
+version = "0.8.3"
+
+[[Documenter]]
+deps = ["Base64", "Dates", "DocStringExtensions", "InteractiveUtils", "JSON", "LibGit2", "Logging", "Markdown", "REPL", "Test", "Unicode"]
+git-tree-sha1 = "fb1ff838470573adc15c71ba79f8d31328f035da"
+uuid = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+version = "0.25.2"
+
+[[ForwardDiff]]
+deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "NaNMath", "Random", "SpecialFunctions", "StaticArrays"]
+git-tree-sha1 = "1d090099fb82223abc48f7ce176d3f7696ede36d"
+uuid = "f6369f11-7733-5829-9624-2563aa707210"
+version = "0.10.12"
+
+[[GLPK]]
+deps = ["BinaryProvider", "CEnum", "GLPK_jll", "Libdl", "MathOptInterface"]
+git-tree-sha1 = "0984f1669480cdecd465458b4abf81b238fbfe50"
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+
+[[GLPK_jll]]
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+
+[[GMP_jll]]
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+[[GZip]]
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+
+[[Gurobi]]
+deps = ["CEnum", "Libdl", "MathOptInterface"]
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+[[HTTP]]
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+
+[[InteractiveUtils]]
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+[[JLLWrappers]]
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+version = "1.1.3"
+
+[[JSON]]
+deps = ["Dates", "Mmap", "Parsers", "Unicode"]
+git-tree-sha1 = "b34d7cef7b337321e97d22242c3c2b91f476748e"
+uuid = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
+version = "0.21.0"
+
+[[JSONSchema]]
+deps = ["HTTP", "JSON", "ZipFile"]
+git-tree-sha1 = "a9ecdbc90be216912a2e3e8a8e38dc4c93f0d065"
+uuid = "7d188eb4-7ad8-530c-ae41-71a32a6d4692"
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+
+[[JuMP]]
+deps = ["Calculus", "DataStructures", "ForwardDiff", "LinearAlgebra", "MathOptInterface", "MutableArithmetics", "NaNMath", "Random", "SparseArrays", "Statistics"]
+git-tree-sha1 = "cbab42e2e912109d27046aa88f02a283a9abac7c"
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+[[LibGit2]]
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+[[Libdl]]
+uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
+
+[[LinearAlgebra]]
+deps = ["Libdl"]
+uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+
+[[Logging]]
+uuid = "56ddb016-857b-54e1-b83d-db4d58db5568"
+
+[[MacroTools]]
+deps = ["Markdown", "Random"]
+git-tree-sha1 = "6a8a2a625ab0dea913aba95c11370589e0239ff0"
+uuid = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
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+[[Markdown]]
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+
+[[MathOptInterface]]
+deps = ["BenchmarkTools", "CodecBzip2", "CodecZlib", "JSON", "JSONSchema", "LinearAlgebra", "MutableArithmetics", "OrderedCollections", "SparseArrays", "Test", "Unicode"]
+git-tree-sha1 = "5a1d631e0a9087d425e024d66b9c71e92e78fda8"
+uuid = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
+version = "0.9.17"
+
+[[MbedTLS]]
+deps = ["Dates", "MbedTLS_jll", "Random", "Sockets"]
+git-tree-sha1 = "1c38e51c3d08ef2278062ebceade0e46cefc96fe"
+uuid = "739be429-bea8-5141-9913-cc70e7f3736d"
+version = "1.0.3"
+
+[[MbedTLS_jll]]
+deps = ["Libdl", "Pkg"]
+git-tree-sha1 = "c0b1286883cac4e2b617539de41111e0776d02e8"
+uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1"
+version = "2.16.8+0"
+
+[[Mmap]]
+uuid = "a63ad114-7e13-5084-954f-fe012c677804"
+
+[[MutableArithmetics]]
+deps = ["LinearAlgebra", "SparseArrays", "Test"]
+git-tree-sha1 = "6cf09794783b9de2e662c4e8b60d743021e338d0"
+uuid = "d8a4904e-b15c-11e9-3269-09a3773c0cb0"
+version = "0.2.10"
+
+[[NaNMath]]
+git-tree-sha1 = "c84c576296d0e2fbb3fc134d3e09086b3ea617cd"
+uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
+version = "0.3.4"
+
+[[OpenBLAS32_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "19c33675cdeb572c1b17f96c492459d4f4958036"
+uuid = "656ef2d0-ae68-5445-9ca0-591084a874a2"
+version = "0.3.10+0"
+
+[[OpenSpecFun_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "9db77584158d0ab52307f8c04f8e7c08ca76b5b3"
+uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e"
+version = "0.5.3+4"
+
+[[OrderedCollections]]
+git-tree-sha1 = "16c08bf5dba06609fe45e30860092d6fa41fde7b"
+uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
+version = "1.3.1"
+
+[[Osi_jll]]
+deps = ["CoinUtils_jll", "CompilerSupportLibraries_jll", "Libdl", "OpenBLAS32_jll", "Pkg"]
+git-tree-sha1 = "bd436a97280df40938e66ae8d18e57aceb072856"
+uuid = "7da25872-d9ce-5375-a4d3-7a845f58efdd"
+version = "0.108.5+3"
+
+[[PackageCompiler]]
+deps = ["Libdl", "Pkg", "UUIDs"]
+git-tree-sha1 = "3eee77c94646163f15bd8626acf494360897f890"
+uuid = "9b87118b-4619-50d2-8e1e-99f35a4d4d9d"
+version = "1.2.3"
+
+[[Parsers]]
+deps = ["Dates"]
+git-tree-sha1 = "6fa4202675c05ba0f8268a6ddf07606350eda3ce"
+uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
+version = "1.0.11"
+
+[[Pkg]]
+deps = ["Dates", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "UUIDs"]
+uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+
+[[Printf]]
+deps = ["Unicode"]
+uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7"
+
+[[REPL]]
+deps = ["InteractiveUtils", "Markdown", "Sockets"]
+uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
+
+[[Random]]
+deps = ["Serialization"]
+uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+
+[[Requires]]
+deps = ["UUIDs"]
+git-tree-sha1 = "28faf1c963ca1dc3ec87f166d92982e3c4a1f66d"
+uuid = "ae029012-a4dd-5104-9daa-d747884805df"
+version = "1.1.0"
+
+[[SHA]]
+uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
+
+[[Serialization]]
+uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
+
+[[Sockets]]
+uuid = "6462fe0b-24de-5631-8697-dd941f90decc"
+
+[[SparseArrays]]
+deps = ["LinearAlgebra", "Random"]
+uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+
+[[SpecialFunctions]]
+deps = ["OpenSpecFun_jll"]
+git-tree-sha1 = "d8d8b8a9f4119829410ecd706da4cc8594a1e020"
+uuid = "276daf66-3868-5448-9aa4-cd146d93841b"
+version = "0.10.3"
+
+[[StaticArrays]]
+deps = ["LinearAlgebra", "Random", "Statistics"]
+git-tree-sha1 = "016d1e1a00fabc556473b07161da3d39726ded35"
+uuid = "90137ffa-7385-5640-81b9-e52037218182"
+version = "0.12.4"
+
+[[Statistics]]
+deps = ["LinearAlgebra", "SparseArrays"]
+uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+
+[[Test]]
+deps = ["Distributed", "InteractiveUtils", "Logging", "Random"]
+uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[[TimerOutputs]]
+deps = ["Printf"]
+git-tree-sha1 = "f458ca23ff80e46a630922c555d838303e4b9603"
+uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
+version = "0.5.6"
+
+[[TranscodingStreams]]
+deps = ["Random", "Test"]
+git-tree-sha1 = "7c53c35547de1c5b9d46a4797cf6d8253807108c"
+uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
+version = "0.9.5"
+
+[[UUIDs]]
+deps = ["Random", "SHA"]
+uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
+
+[[Unicode]]
+uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
+
+[[UnitCommitment]]
+deps = ["Cbc", "DataStructures", "Documenter", "GLPK", "GZip", "Gurobi", "JSON", "JuMP", "LinearAlgebra", "Logging", "MathOptInterface", "OrderedCollections", "PackageCompiler", "Printf", "Requires", "SparseArrays", "Test", "TimerOutputs"]
+path = ".."
+uuid = "64606440-39ea-11e9-0f29-3303a1d3d877"
+version = "2.1.0"
+
+[[ZipFile]]
+deps = ["Libdl", "Printf", "Zlib_jll"]
+git-tree-sha1 = "c3a5637e27e914a7a445b8d0ad063d701931e9f7"
+uuid = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
+version = "0.9.3"
+
+[[Zlib_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "320228915c8debb12cb434c59057290f0834dbf6"
+uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
+version = "1.2.11+18"
--- a/benchmark/Project.toml
+++ b/benchmark/Project.toml
@@ -1,5 +1,4 @@
 [deps]
-DocOpt = "968ba79b-81e4-546f-ab3a-2eecfa62a9db"
 Gurobi = "2e9cd046-0924-5485-92f1-d5272153d98b"
 JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
--- a/benchmark/run.jl
+++ b/benchmark/run.jl
@@ -2,208 +2,103 @@
 # Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
 # Released under the modified BSD license. See COPYING.md for more details.

-doc = """UnitCommitment.jl Benchmark Runner
-
-Usage:
-  run.jl [-s ARG]... [-m ARG]... [-c ARG]... [-f ARG]... [options]
-
-Examples:
-
-    1. Benchmark all solvers, methods and formulations:
-
-        julia run.jl
-
-    2. Benchmark formulations "default" and "ArrCon200" using Gurobi:
-
-        julia run.jl -s gurobi -f default -f ArrCon2000
-
-    3. Benchmark a few test cases, using all solvers, methods and formulations:
-
-        julia run.jl -c or-lib/20_0_1_w -c matpower/case1888rte/2017-02-01
-
-    4. Solve 4 test cases in parallel, with 2 threads available per worker:
-
-        JULIA_NUM_THREADS=2 julia --procs 4 run.jl
-
-Options:
-  -h --help             Show this screen.
-  -s --solver=ARG       Mixed-integer linear solver (e.g. gurobi)
-  -c --case=ARG         Unit commitment test case (e.g. or-lib/20_0_1_w)
-  -m --method=ARG       Solution method (e.g. default)
-  -f --formulation=ARG  Formulation (e.g. ArrCon2000)
-  --time-limit=ARG      Time limit in seconds [default: 3600]
-  --gap=ARG             Relative MIP gap tolerance [default: 0.001]
-  --trials=ARG          Number of trials [default: 5]
-"""
-
-using Distributed
-using Pkg
-Pkg.activate(".")
-@everywhere using Pkg
-@everywhere Pkg.activate(".")
-
-using DocOpt
-args = docopt(doc)
-
-@everywhere using UnitCommitment
-@everywhere UnitCommitment._setup_logger()
-
 using UnitCommitment
-using Gurobi
-using Logging
 using JuMP
+using Gurobi
+using JSON
+using Logging
+using Printf
+using LinearAlgebra

-import UnitCommitment:
-    ArrCon2000,
-    CarArr2006,
-    DamKucRajAta2016,
-    Formulation,
-    Gar1962,
-    KnuOstWat2018,
-    MorLatRam2013,
-    PanGua2016,
-    XavQiuWanThi2019
+function main()
+    NUM_THREADS = 4
+    time_limit = 60 * 20
+    BLAS.set_num_threads(NUM_THREADS)

-# Benchmark test cases
-# -----------------------------------------------------------------------------
-cases = [
-    "pglib-uc/ca/2014-09-01_reserves_0",
-    "pglib-uc/ca/2014-09-01_reserves_1",
-    "pglib-uc/ca/2015-03-01_reserves_0",
-    "pglib-uc/ca/2015-06-01_reserves_0",
-    "pglib-uc/ca/Scenario400_reserves_1",
-    "pglib-uc/ferc/2015-01-01_lw",
-    "pglib-uc/ferc/2015-05-01_lw",
-    "pglib-uc/ferc/2015-07-01_hw",
-    "pglib-uc/ferc/2015-10-01_lw",
-    "pglib-uc/ferc/2015-12-01_lw",
-    "pglib-uc/rts_gmlc/2020-04-03",
-    "pglib-uc/rts_gmlc/2020-09-20",
-    "pglib-uc/rts_gmlc/2020-10-27",
-    "pglib-uc/rts_gmlc/2020-11-25",
-    "pglib-uc/rts_gmlc/2020-12-23",
-    "or-lib/20_0_1_w",
-    "or-lib/20_0_5_w",
-    "or-lib/50_0_2_w",
-    "or-lib/75_0_2_w",
-    "or-lib/100_0_1_w",
-    "or-lib/100_0_4_w",
-    "or-lib/100_0_5_w",
-    "or-lib/200_0_3_w",
-    "or-lib/200_0_7_w",
-    "or-lib/200_0_9_w",
-    "tejada19/UC_24h_290g",
-    "tejada19/UC_24h_623g",
-    "tejada19/UC_24h_959g",
-    "tejada19/UC_24h_1577g",
-    "tejada19/UC_24h_1888g",
-    "tejada19/UC_168h_72g",
-    "tejada19/UC_168h_86g",
-    "tejada19/UC_168h_130g",
-    "tejada19/UC_168h_131g",
-    "tejada19/UC_168h_199g",
-    "matpower/case1888rte/2017-02-01",
-    "matpower/case1951rte/2017-02-01",
-    "matpower/case2848rte/2017-02-01",
-    "matpower/case3012wp/2017-02-01",
-    "matpower/case3375wp/2017-02-01",
-    "matpower/case6468rte/2017-02-01",
-    "matpower/case6515rte/2017-02-01",
-]
-
-# Formulations
-# -----------------------------------------------------------------------------
-formulations = Dict(
-    "default" => Formulation(),
-    "ArrCon2000" => Formulation(ramping = ArrCon2000.Ramping()),
-    "CarArr2006" => Formulation(pwl_costs = CarArr2006.PwlCosts()),
-    "DamKucRajAta2016" => Formulation(ramping = DamKucRajAta2016.Ramping()),
-    "Gar1962" => Formulation(pwl_costs = Gar1962.PwlCosts()),
-    "KnuOstWat2018" => Formulation(pwl_costs = KnuOstWat2018.PwlCosts()),
-    "MorLatRam2013" => Formulation(ramping = MorLatRam2013.Ramping()),
-    "PanGua2016" => Formulation(ramping = PanGua2016.Ramping()),
-)
-
-# Solution methods
-# -----------------------------------------------------------------------------
-const gap_limit = parse(Float64, args["--gap"])
-const time_limit = parse(Float64, args["--time-limit"])
-methods = Dict(
-    "default" => XavQiuWanThi2019.Method(
-        time_limit = time_limit,
-        gap_limit = gap_limit,
-    ),
-)
-
-# MIP solvers
-# -----------------------------------------------------------------------------
-optimizers = Dict(
-    "gurobi" => optimizer_with_attributes(
-        Gurobi.Optimizer,
-        "Threads" => Threads.nthreads(),
-    ),
-)
-
-# Parse command line arguments
-# -----------------------------------------------------------------------------
-if !isempty(args["--case"])
-    cases = args["--case"]
-end
-if !isempty(args["--formulation"])
-    formulations = filter(p -> p.first in args["--formulation"], formulations)
-end
-if !isempty(args["--method"])
-    methods = filter(p -> p.first in args["--method"], methods)
-end
-if !isempty(args["--solver"])
-    optimizers = filter(p -> p.first in args["--solver"], optimizers)
-end
-const ntrials = parse(Int, args["--trials"])
-
-# Print benchmark settings
-# -----------------------------------------------------------------------------
-function printlist(d::Dict)
-    for key in keys(d)
-        @info "  - $key"
+    if length(ARGS) >= 2
+      mode = string("_", ARGS[2])
+    else
+      mode = "_default"
    end
-end
-
-function printlist(d::Vector)
-    for key in d
-        @info "  - $key"
+    if length(ARGS) >= 3 && !isempty(strip(ARGS[3]))
+      results_dir = ARGS[3]
+    else
+      results_dir = string("./","results$mode")
    end
-end

-@info "Computational environment:"
-@info "  - CPU: $(Sys.cpu_info()[1].model)"
-@info "  - Logical CPU cores: $(length(Sys.cpu_info()))"
-@info "  - System memory: $(round(Sys.total_memory() / 2^30, digits=2)) GiB"
-@info "  - Available workers: $(nworkers())"
-@info "  - Available threads per worker: $(Threads.nthreads())"
+    # Validate mode and set formulation
+    if mode == "_default"
+      formulation = UnitCommitment.DefaultFormulation
+    elseif mode == "_tight"
+      formulation = UnitCommitment.TightFormulation
+    elseif mode == "_sparse"
+      formulation = UnitCommitment.SparseDefaultFormulation
+    else
+      error("Unknown formulation requested: ", ARGS[2])
+    end

-@info "Parameters:"
-@info "  - Number of trials: $ntrials"
-@info "  - Time limit (s): $time_limit"
-@info "  - Relative MIP gap tolerance: $gap_limit"
+    # Filename is instance_name.sample_number.sol.gz
+    # Parse out the instance + sample parts to create output files
+    basename, suffix = split(ARGS[1], ".") # will not work if suffix part is not present
+    model_filename_stub = string(results_dir,"/$basename.$suffix")
+    solution_filename = string("$model_filename_stub.sol.json")

-@info "Solvers:"
-printlist(optimizers)
+    # Choose logging options
+    logname, logfile = nothing, nothing
+    #logname = string("$model_filename_stub.out")
+    if isa(logname, String) && !isempty(logname)
+      logfile = open(logname, "w")
+      global_logger(TimeLogger(initial_time = time(), file = logfile))
+    else
+      global_logger(TimeLogger(initial_time = time()))
+    end

-@info "Methods:"
-printlist(methods)
+    total_time = @elapsed begin
+        @info "Reading: $basename"
+        time_read = @elapsed begin
+            instance = UnitCommitment.read_benchmark(basename)
+        end
+        @info @sprintf("Read problem in %.2f seconds", time_read)

-@info "Formulations:"
-printlist(formulations)
+        time_model = @elapsed begin
+            optimizer=optimizer_with_attributes(Gurobi.Optimizer,
+                                                "Threads" => NUM_THREADS,
+                                                "Seed" => rand(1:1000))
+            model = build_model(instance=instance, optimizer=optimizer, formulation=formulation)
+        end
+    end

-@info "Cases:"
-printlist(cases)
+    @info "Setting names..."
+    UnitCommitment.set_variable_names!(model)

-# Run benchmarks
-# -----------------------------------------------------------------------------
-UnitCommitment._run_benchmarks(
-    cases = cases,
-    formulations = formulations,
-    methods = methods,
-    optimizers = optimizers,
-    trials = 1:ntrials,
-)
+    model_filename = string(model_filename_stub,".init",".mps.gz")
+    @info string("Exporting initial model without transmission constraints to ", model_filename)
+    JuMP.write_to_file(model.mip, model_filename)
+
+    total_time += @elapsed begin
+        @info "Optimizing..."
+        BLAS.set_num_threads(1)
+        UnitCommitment.optimize!(model, time_limit=time_limit, gap_limit=1e-3)
+    end
+
+    @info @sprintf("Total time was %.2f seconds", total_time)
+
+    @info "Writing: $solution_filename"
+    solution = UnitCommitment.get_solution(model)
+    open(solution_filename, "w") do file
+        JSON.print(file, solution, 2)
+    end
+
+    @info "Verifying solution..."
+    UnitCommitment.validate(instance, solution) 
+
+    model_filename = string(model_filename_stub,".final",".mps.gz")
+    @info string("Exporting final model to ", model_filename)
+    JuMP.write_to_file(model.mip, model_filename)
+
+    if !isnothing(logfile)
+      close(logfile)
+    end
+end # main
+
+main()
--- a/benchmark/scripts/compare.py
+++ b/benchmark/scripts/compare.py
@@ -5,82 +5,60 @@
 import pandas as pd
 import numpy as np
 import seaborn as sns
-import matplotlib
 import matplotlib.pyplot as plt
 import sys

-matplotlib.use("Agg")
-sns.set("talk")
-sns.set_palette(
-    [
-        "#9b59b6",
-        "#3498db",
-        "#95a5a6",
-        "#e74c3c",
-        "#34495e",
-        "#2ecc71",
-    ]
-)
+#easy_cutoff = 120

-filename = sys.argv[1]
-m1 = sys.argv[2]
-m2 = sys.argv[3]
+b1 = pd.read_csv(sys.argv[1], index_col=0)
+b2 = pd.read_csv(sys.argv[2], index_col=0)

-# Prepare data
-data = pd.read_csv(filename, index_col=0)
-b1 = (
-    data[data["Group"] == m1]
-    .groupby(["Instance", "Sample"])
-    .mean()[["Optimization time (s)"]]
-)
-b2 = (
-    data[data["Group"] == m2]
-    .groupby(["Instance", "Sample"])
-    .mean()[["Optimization time (s)"]]
-)
-b1.columns = [f"{m1} time (s)"]
-b2.columns = [f"{m2} time (s)"]
-merged = pd.merge(b1, b2, left_index=True, right_index=True).reset_index().dropna()
-merged["Speedup"] = merged[f"{m1} time (s)"] / merged[f"{m2} time (s)"]
-merged["Group"] = merged["Instance"].str.replace(r"\/.*", "", regex=True)
-merged = merged.sort_values(by=["Instance", "Sample"], ascending=True)
-merged = merged[(merged[f"{m1} time (s)"] > 0) & (merged[f"{m2} time (s)"] > 0)]
+c1 = b1.groupby(["Group", "Instance", "Sample"])[["Optimization time (s)", "Primal bound"]].mean()
+c2 = b2.groupby(["Group", "Instance", "Sample"])[["Optimization time (s)", "Primal bound"]].mean()
+c1.columns = ["A Time (s)", "A Value"]
+c2.columns = ["B Time (s)", "B Value"]

-# Plot results
-k1 = len(merged.groupby("Instance").mean())
-k2 = len(merged.groupby("Group").mean())
-k = k1 + k2
-fig = plt.figure(
-    constrained_layout=True,
-    figsize=(15, max(5, 0.75 * k)),
-)
-plt.suptitle(f"{m1} vs {m2}")
-gs1 = fig.add_gridspec(nrows=k, ncols=1)
-ax1 = fig.add_subplot(gs1[0:k1, 0:1])
-ax2 = fig.add_subplot(gs1[k1:, 0:1], sharex=ax1)
-sns.barplot(
-    data=merged,
-    x="Speedup",
-    y="Instance",
-    color="tab:purple",
-    errcolor="k",
-    errwidth=1.25,
-    ax=ax1,
-)
-sns.barplot(
-    data=merged,
-    x="Speedup",
-    y="Group",
-    color="tab:purple",
-    errcolor="k",
-    errwidth=1.25,
-    ax=ax2,
-)
-ax1.axvline(1.0, linestyle="--", color="k")
-ax2.axvline(1.0, linestyle="--", color="k")
+merged = pd.concat([c1, c2], axis=1)
+merged["Speedup"] = merged["A Time (s)"] / merged["B Time (s)"]
+merged["Time diff (s)"] = merged["B Time (s)"] - merged["A Time (s)"]
+merged["Value diff (%)"] = np.round((merged["B Value"] - merged["A Value"]) / merged["A Value"] * 100.0, 5)
+merged.loc[merged.loc[:, "B Time (s)"] <= 0, "Speedup"] = float("nan")
+merged.loc[merged.loc[:, "B Time (s)"] <= 0, "Time diff (s)"] = float("nan")
+#merged = merged[(merged["A Time (s)"] >= easy_cutoff) | (merged["B Time (s)"] >= easy_cutoff)]
+merged.reset_index(inplace=True)
+merged["Name"] = merged["Group"] + "/" + merged["Instance"]
+#merged = merged.sort_values(by="Speedup", ascending=False)
+
+
+k = len(merged.groupby("Name"))
+plt.figure(figsize=(12, 0.50 * k))
+plt.rcParams['xtick.bottom'] = plt.rcParams['xtick.labelbottom'] = True
+plt.rcParams['xtick.top'] = plt.rcParams['xtick.labeltop'] = True
+sns.set_style("whitegrid")
+sns.set_palette("Set1")
+sns.barplot(data=merged,
+            x="Speedup",
+            y="Name",
+            color="tab:red",
+            capsize=0.15,
+            errcolor="k",
+            errwidth=1.25)
+plt.axvline(1.0, linestyle="--", color="k")
+plt.tight_layout()

 print("Writing tables/compare.png")
 plt.savefig("tables/compare.png", dpi=150)

 print("Writing tables/compare.csv")
-merged.to_csv("tables/compare.csv", index_label="Index")
+merged.loc[:, ["Group",
+               "Instance",
+               "Sample",
+               "A Time (s)",
+               "B Time (s)",
+               "Speedup",
+               "Time diff (s)",
+               "A Value",
+               "B Value",
+               "Value diff (%)",
+              ]
+          ].to_csv("tables/compare.csv", index_label="Index")
--- a/benchmark/scripts/table.py
+++ b/benchmark/scripts/table.py
@@ -6,13 +6,11 @@ from pathlib import Path
 import pandas as pd
 import re
 from tabulate import tabulate
-from colorama import init, Fore, Back, Style
-
-init()


 def process_all_log_files():
-    pathlist = list(Path(".").glob("results/**/*.log"))
+    pathlist = list(Path(".").glob('results/*/*/*.log'))
+    pathlist += list(Path(".").glob('results/*/*.log'))
    rows = []
    for path in pathlist:
        if ".ipy" in str(path):
@@ -24,13 +22,13 @@ def process_all_log_files():
    df.index = range(len(df))
    print("Writing tables/benchmark.csv")
    df.to_csv("tables/benchmark.csv", index_label="Index")
-
-
+        
+        
 def process(filename):
    parts = filename.replace(".log", "").split("/")
-    group_name = parts[1]
-    instance_name = "/".join(parts[2:-1])
-    sample_name = parts[-1]
+    group_name = "/".join(parts[1:-1])
+    instance_name = parts[-1]
+    instance_name, sample_name = instance_name.split(".")
    nodes = 0.0
    optimize_time = 0.0
    simplex_iterations = 0.0
@@ -47,75 +45,56 @@ def process(filename):
    read_time, model_time, isf_time, total_time = None, None, None, None
    cb_calls, cb_time = 0, 0.0
    transmission_count, transmission_time, transmission_calls = 0, 0.0, 0
-
+    
    # m = re.search("case([0-9]*)", instance_name)
    # n_buses = int(m.group(1))
    n_buses = 0
-    validation_errors = 0
-
+    
    with open(filename) as file:
        for line in file.readlines():
-            m = re.search(
-                r"Explored ([0-9.e+]*) nodes \(([0-9.e+]*) simplex iterations\) in ([0-9.e+]*) seconds",
-                line,
-            )
+            m = re.search(r"Explored ([0-9.e+]*) nodes \(([0-9.e+]*) simplex iterations\) in ([0-9.e+]*) seconds", line)
            if m is not None:
                nodes += int(m.group(1))
                simplex_iterations += int(m.group(2))
                optimize_time += float(m.group(3))
-
-            m = re.search(
-                r"Best objective ([0-9.e+]*), best bound ([0-9.e+]*), gap ([0-9.e+]*)\%",
-                line,
-            )
+                
+            m = re.search(r"Best objective ([0-9.e+]*), best bound ([0-9.e+]*), gap ([0-9.e+]*)\%", line)
            if m is not None:
                primal_bound = float(m.group(1))
                dual_bound = float(m.group(2))
                gap = round(float(m.group(3)), 3)
-
-            m = re.search(
-                r"Root relaxation: objective ([0-9.e+]*), ([0-9.e+]*) iterations, ([0-9.e+]*) seconds",
-                line,
-            )
+                
+            m = re.search(r"Root relaxation: objective ([0-9.e+]*), ([0-9.e+]*) iterations, ([0-9.e+]*) seconds", line)
            if m is not None:
                root_obj = float(m.group(1))
                root_iterations += int(m.group(2))
                root_time += float(m.group(3))
-
-            m = re.search(
-                r"Presolved: ([0-9.e+]*) rows, ([0-9.e+]*) columns, ([0-9.e+]*) nonzeros",
-                line,
-            )
+                
+            m = re.search(r"Presolved: ([0-9.e+]*) rows, ([0-9.e+]*) columns, ([0-9.e+]*) nonzeros", line)
            if m is not None:
                n_rows_presolved = int(m.group(1))
                n_cols_presolved = int(m.group(2))
                n_nz_presolved = int(m.group(3))
-
-            m = re.search(
-                r"Optimize a model with ([0-9.e+]*) rows, ([0-9.e+]*) columns and ([0-9.e+]*) nonzeros",
-                line,
-            )
+                
+            m = re.search(r"Optimize a model with ([0-9.e+]*) rows, ([0-9.e+]*) columns and ([0-9.e+]*) nonzeros", line)
            if m is not None:
                n_rows_orig = int(m.group(1))
                n_cols_orig = int(m.group(2))
                n_nz_orig = int(m.group(3))
-
-            m = re.search(
-                r"Variable types: ([0-9.e+]*) continuous, ([0-9.e+]*) integer \(([0-9.e+]*) binary\)",
-                line,
-            )
+                
+            m = re.search(r"Variable types: ([0-9.e+]*) continuous, ([0-9.e+]*) integer \(([0-9.e+]*) binary\)", line)
            if m is not None:
                n_cont_vars_presolved = int(m.group(1))
-                n_bin_vars_presolved = int(m.group(3))
-
+                n_bin_vars_presolved = int(m.group(3))  
+            
            m = re.search(r"Read problem in ([0-9.e+]*) seconds", line)
            if m is not None:
                read_time = float(m.group(1))
-
+            
            m = re.search(r"Computed ISF in ([0-9.e+]*) seconds", line)
            if m is not None:
                isf_time = float(m.group(1))
-
+            
            m = re.search(r"Built model in ([0-9.e+]*) seconds", line)
            if m is not None:
                model_time = float(m.group(1))
@@ -124,10 +103,7 @@ def process(filename):
            if m is not None:
                total_time = float(m.group(1))

-            m = re.search(
-                r"User-callback calls ([0-9.e+]*), time in user-callback ([0-9.e+]*) sec",
-                line,
-            )
+            m = re.search(r"User-callback calls ([0-9.e+]*), time in user-callback ([0-9.e+]*) sec", line)
            if m is not None:
                cb_calls = int(m.group(1))
                cb_time = float(m.group(2))
@@ -140,15 +116,7 @@ def process(filename):
            m = re.search(r".*MW overflow", line)
            if m is not None:
                transmission_count += 1
-
-            m = re.search(r".*Found ([0-9]*) validation errors", line)
-            if m is not None:
-                validation_errors += int(m.group(1))
-                print(
-                    f"{Fore.YELLOW}{Style.BRIGHT}Warning:{Style.RESET_ALL} {validation_errors:8d} "
-                    f"{Style.DIM}validation errors in {Style.RESET_ALL}{group_name}/{instance_name}/{sample_name}"
-                )
-
+                
    return {
        "Group": group_name,
        "Instance": instance_name,
@@ -180,51 +148,36 @@ def process(filename):
        "Transmission screening constraints": transmission_count,
        "Transmission screening time": transmission_time,
        "Transmission screening calls": transmission_calls,
-        "Validation errors": validation_errors,
    }

-
 def generate_chart():
    import pandas as pd
-    import matplotlib
    import matplotlib.pyplot as plt
    import seaborn as sns

-    matplotlib.use("Agg")
-    sns.set("talk")
-    sns.set_palette(
-        [
-            "#9b59b6",
-            "#3498db",
-            "#95a5a6",
-            "#e74c3c",
-            "#34495e",
-            "#2ecc71",
-        ]
-    )
-
    tables = []
    files = ["tables/benchmark.csv"]
    for f in files:
        table = pd.read_csv(f, index_col=0)
+        table.loc[:, "Instance"] = table.loc[:,"Group"] + "/" + table.loc[:,"Instance"]
        table.loc[:, "Filename"] = f
        tables += [table]
    benchmark = pd.concat(tables, sort=True)
-    benchmark = benchmark.sort_values(by=["Group", "Instance"])
-    k1 = len(benchmark.groupby("Instance"))
-    k2 = len(benchmark.groupby("Group"))
-    plt.figure(figsize=(12, 0.25 * k1 * k2))
-    sns.barplot(
-        y="Instance",
-        x="Total time (s)",
-        hue="Group",
-        errcolor="k",
-        errwidth=1.25,
-        data=benchmark,
-    )
+    benchmark = benchmark.sort_values(by="Instance")
+    k = len(benchmark.groupby("Instance"))
+    plt.figure(figsize=(12, 0.50 * k))
+    sns.set_style("whitegrid")
+    sns.set_palette("Set1")
+    sns.barplot(y="Instance",
+                x="Total time (s)",
+                color="tab:red",
+                capsize=0.15,
+                errcolor="k",
+                errwidth=1.25,
+                data=benchmark);
    plt.tight_layout()
    print("Writing tables/benchmark.png")
-    plt.savefig("tables/benchmark.png", dpi=150)
+    plt.savefig("tables/benchmark.png", dpi=150);


 if __name__ == "__main__":
--- a/deps/formatter/Project.toml
+++ b/deps/formatter/Project.toml
@@ -1,5 +0,0 @@
-[deps]
-JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
-
-[compat]
-JuliaFormatter = "0.14.4"
--- a/deps/formatter/format.jl
+++ b/deps/formatter/format.jl
@@ -1,9 +0,0 @@
-using JuliaFormatter
-format(
-    [
-        "../../src", 
-        "../../test",
-        "../../benchmark/run.jl",
-    ],
-    verbose=true,
-)
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -1,14 +0,0 @@
-SPHINXOPTS    ?=
-SPHINXBUILD   ?= sphinx-build
-SOURCEDIR     = .
-BUILDDIR      = _build
-
-help:
-	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
-.PHONY: help Makefile
-
-# Catch-all target: route all unknown targets to Sphinx using the new
-# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
-%: Makefile
-	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
--- a/docs/_static/custom.css
+++ b/docs/_static/custom.css
@@ -1,49 +0,0 @@
-h1.site-logo {
-    font-size: 30px !important;
-}
-
-h1.site-logo small {
-    font-size: 20px !important;
-}
-
-h1.site-logo {
-    font-size: 30px !important;
-}
-
-h1.site-logo small {
-    font-size: 20px !important;
-}
-
-tbody, thead, pre {
-    border: 1px solid rgba(0, 0, 0, 0.25);
-}
-
-table td, th {
-    padding: 8px;
-}
-
-table p {
-    margin-bottom: 0;
-}
-
-table td code {
-    white-space: nowrap;
-}
-
-table tr,
-table th {
-    border-bottom: 1px solid rgba(0, 0, 0, 0.1);
-}
-
-table tr:last-child {
-    border-bottom: 0;
-}
-
-pre {
-    box-shadow: inherit !important;
-    background-color: #fff;
-}
-
-.text-align\:center {
-    text-align: center;
-}
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -1,16 +0,0 @@
-project = "UnitCommitment.jl"
-copyright = "2020-2021, UChicago Argonne, LLC"
-author = ""
-release = "0.2"
-extensions = ["myst_parser"]
-templates_path = ["_templates"]
-exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
-html_theme = "sphinx_book_theme"
-html_static_path = ["_static"]
-html_css_files = ["custom.css"]
-html_theme_options = {
-    "repository_url": "https://github.com/ANL-CEEESA/UnitCommitment.jl/",
-    "use_repository_button": True,
-    "extra_navbar": "",
-}
-html_title = f"UnitCommitment.jl<br/><small>{release}</small>"
--- a/docs/index.md
+++ b/docs/index.md
@@ -1,82 +0,0 @@
-# UnitCommitment.jl
-
-**UnitCommitment.jl** (UC.jl) is a Julia/JuMP optimization package for the Security-Constrained Unit Commitment Problem (SCUC), a fundamental optimization problem in power systems used, for example, to clear the day-ahead electricity markets. The package provides benchmark instances for the problem and Julia/JuMP implementations of state-of-the-art mixed-integer programming formulations.
-
-## Package Components
-
-* **Data Format:** The package proposes an extensible and fully-documented JSON-based data specification format for SCUC, developed in collaboration with Independent System Operators (ISOs), which describes the most important aspects of the problem. The format supports all the most common generator characteristics (including ramping, piecewise-linear production cost curves and time-dependent startup costs), as well as operating reserves, price-sensitive loads, transmission networks and contingencies.
-* **Benchmark Instances:** The package provides a diverse collection of large-scale benchmark instances collected from the literature, converted into a common data format, and extended using data-driven methods to make them more challenging and realistic.
-* **Model Implementation**: The package provides a Julia/JuMP implementations of state-of-the-art formulations and solution methods for SCUC, including multiple ramping formulations ([ArrCon2000][ArrCon2000], [MorLatRam2013][MorLatRam2013], [DamKucRajAta2016][DamKucRajAta2016], [PanGua2016][PanGua2016]), multiple piecewise-linear costs formulations ([Gar1962][Gar1962], [CarArr2006][CarArr2006], [KnuOstWat2018][KnuOstWat2018]) and contingency screening methods ([XavQiuWanThi2019][XavQiuWanThi2019]). Our goal is to keep these implementations up-to-date as new methods are proposed in the literature.
-* **Benchmark Tools:** The package provides automated benchmark scripts to accurately evaluate the performance impact of proposed code changes.
-
-[ArrCon2000]: https://doi.org/10.1109/59.871739
-[CarArr2006]: https://doi.org/10.1109/TPWRS.2006.876672
-[DamKucRajAta2016]: https://doi.org/10.1007/s10107-015-0919-9
-[Gar1962]: https://doi.org/10.1109/AIEEPAS.1962.4501405
-[KnuOstWat2018]: https://doi.org/10.1109/TPWRS.2017.2783850
-[MorLatRam2013]: https://doi.org/10.1109/TPWRS.2013.2251373
-[PanGua2016]: https://doi.org/10.1287/opre.2016.1520
-[XavQiuWanThi2019]: https://doi.org/10.1109/TPWRS.2019.2892620
-
-### Authors
-* **Alinson S. Xavier** (Argonne National Laboratory)
-* **Aleksandr M. Kazachkov** (University of Florida)
-* **Feng Qiu** (Argonne National Laboratory)
-
-### Acknowledgments
-
-* We would like to thank **Yonghong Chen** (Midcontinent Independent System Operator), **Feng Pan** (Pacific Northwest National Laboratory) for valuable feedback on early versions of this package.
-
-* Based upon work supported by **Laboratory Directed Research and Development** (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357
-
-* Based upon work supported by the **U.S. Department of Energy Advanced Grid Modeling Program** under Grant DE-OE0000875.
-
-### Citing
-
-If you use UnitCommitment.jl in your research (instances, models or algorithms), we kindly request that you cite the package as follows:
-
-* **Alinson S. Xavier, Aleksandr M. Kazachkov, Feng Qiu**, "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment". Zenodo (2020). [DOI: 10.5281/zenodo.4269874](https://doi.org/10.5281/zenodo.4269874).
-
-If you use the instances, we additionally request that you cite the original sources, as described in the [instances page](instances.md).
-
-### License
-
-```text
-UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment
-Copyright © 2020, UChicago Argonne, 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:
-
-1. Redistributions of source code must retain the above copyright notice, this list of
-   conditions and the following disclaimer.
-2. 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.
-3. 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.
-```
-
-## Site contents
-
-```{toctree}
---
-maxdepth: 2
---
-usage.md
-format.md
-instances.md
-model.md
-```
-
--- a/docs/model.md
+++ b/docs/model.md
@@ -1,244 +0,0 @@
-```{sectnum}
---
-start: 4
-depth: 2
-suffix: .
---
-```
-
-JuMP Model
-==========
-
-In this page, we describe the JuMP optimization model produced by the function `UnitCommitment.build_model`. A detailed understanding of this model is not necessary if you are just interested in using the package to solve some standard unit commitment cases, but it may be useful, for example, if you need to solve a slightly different problem, with additional variables and constraints. The notation in this page generally follows [KnOsWa20].
-
-Decision variables
------------------
-
-### Generators
-
-Name | Symbol | Description | Unit
-----|:--------:|-------------|:------:
-`is_on[g,t]` | $u_{g}(t)$ | True if generator `g` is on at time `t`. | Binary
-`switch_on[g,t]` | $v_{g}(t)$ | True is generator `g` switches on at time `t`. | Binary
-`switch_off[g,t]` | $w_{g}(t)$ | True if generator `g` switches off at time `t`. | Binary
-`prod_above[g,t]` |$p'_{g}(t)$ | Amount of power produced by generator `g` above its minimum power output at time `t`. For example, if the minimum power of generator `g` is 100 MW and `g` is producing 115 MW of power at time `t`, then `prod_above[g,t]` equals `15.0`. | MW
-`segprod[g,t,k]` | $p^k_g(t)$ | Amount of power from piecewise linear segment `k` produced by generator `g` at time `t`. For example, if cost curve for generator `g` is defined by the points `(100, 1400)`, `(110, 1600)`, `(130, 2200)` and `(135, 2400)`, and if the generator is producing 115 MW of power at time `t`, then `segprod[g,t,:]` equals `[10.0, 5.0, 0.0]`.| MW
-`reserve[g,t]` | $r_g(t)$ | Amount of reserves provided by generator `g` at time `t`. | MW
-`startup[g,t,s]` | $\delta^s_g(t)$ | True if generator `g` switches on at time `t` incurring start-up costs from start-up category `s`. | Binary
-
-
-### Buses
-
-Name | Symbol | Description | Unit
-----|:------:|-------------|:------:
-`net_injection[b,t]` | $n_b(t)$ | Net injection at bus `b` at time `t`. | MW
-`curtail[b,t]` | $s^+_b(t)$ | Amount of load curtailed at bus `b` at time `t` | MW
-
-
-### Price-sensitive loads
-
-Name | Symbol | Description | Unit
-----|:------:|-------------|:------:
-`loads[s,t]` | $d_{s}(t)$ | Amount of power served to price-sensitive load `s` at time `t`. | MW
-
-### Transmission lines
-
-Name | Symbol | Description | Unit
-----|:------:|-------------|:------:
-`flow[l,t]` | $f_l(t)$ | Power flow on line `l` at time `t`. | MW
-`overflow[l,t]` | $f^+_l(t)$ | Amount of flow above the limit for line `l` at time `t`. | MW
-
-```{warning}
-
-Since transmission and N-1 security constraints are enforced in a lazy way, most of the `flow[l,t]` variables are never added to the model. Accessing `model[:flow][l,t]` without first checking that the variable exists will likely generate an error.
-```
-
-Objective function
------------------
-
-$$
-\begin{align}
-    \text{minimize} \;\; &
-        \sum_{t \in \mathcal{T}}
-          \sum_{g \in \mathcal{G}}
-          C^\text{min}_g(t) u_g(t) \\
-    &
-        + \sum_{t \in \mathcal{T}}
-          \sum_{g \in \mathcal{G}}
-          \sum_{g \in \mathcal{K}_g}
-          C^k_g(t) p^k_g(t) \\
-    &
-        + \sum_{t \in \mathcal{T}}
-          \sum_{g \in \mathcal{G}}
-          \sum_{s \in \mathcal{S}_g}
-          C^s_{g}(t) \delta^s_g(t) \\
-    &
-        + \sum_{t \in \mathcal{T}}
-          \sum_{l \in \mathcal{L}}
-          C^\text{overflow}_{l}(t) f^+_l(t) \\
-    &
-        + \sum_{t \in \mathcal{T}}
-           \sum_{b \in \mathcal{B}}
-           C^\text{curtail}(t) s^+_b(t) \\
-    &
-        - \sum_{t \in \mathcal{T}}
-           \sum_{s \in \mathcal{PS}}
-           R_{s}(t) d_{s}(t) \\
-          
-\end{align}
-$$
-where
- $\mathcal{B}$ is the set of buses
- $\mathcal{G}$ is the set of generators
- $\mathcal{L}$ is the set of transmission lines
- $\mathcal{PS}$ is the set of price-sensitive loads
- $\mathcal{S}_g$ is the set of start-up categories for generator $g$
- $\mathcal{T}$ is the set of time steps
- $C^\text{curtail}(t)$ is the curtailment penalty (in \$/MW)
- $C^\text{min}_g(t)$ is the cost of keeping generator $g$ on and producing at minimum power during time $t$ (in \$)
- $C^\text{overflow}_{l}(t)$ is the flow limit penalty for line $l$ at time $t$ (in \$/MW)
- $C^k_g(t)$ is the cost for generator $g$ to produce 1 MW of power at time $t$ under piecewise linear segment $k$
- $C^s_{g}(t)$ is the cost of starting up generator $g$ at time $t$ under start-up category $s$ (in \$)
- $R_{s}(t)$ is the revenue obtained from serving price-sensitive load $s$ at time $t$ (in \$/MW)
-
-
-Constraints
-----------
-
-TODO
-
-
-Inspecting and modifying the model
----------------------------------
-
-### Accessing decision variables
-
-After building a model using `UnitCommitment.build_model`, it is possible to obtain a reference to the decision variables by calling `model[:varname][index]`. For example, `model[:is_on]["g1",1]` returns a direct reference to the JuMP variable indicating whether generator named "g1" is on at time 1. The script below illustrates how to build a model, solve it and display the solution without using the function `UnitCommitment.solution`.
-
-```julia
-using Cbc
-using Printf
-using JuMP
-using UnitCommitment
-
-# Load benchmark instance
-instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
-
-# Build JuMP model
-model = UnitCommitment.build_model(
-    instance=instance,
-    optimizer=Cbc.Optimizer,
-)
-
-# Solve the model
-UnitCommitment.optimize!(model)
-
-# Display commitment status
-for g in instance.units
-    for t in 1:instance.time
-        @printf(
-            "%-10s %5d %5.1f %5.1f %5.1f\n",
-            g.name,
-            t,
-            value(model[:is_on][g.name, t]),
-            value(model[:switch_on][g.name, t]),
-            value(model[:switch_off][g.name, t]),
-        )
-    end
-end
-```
-
-### Fixing variables, modifying objective function and adding constraints
-
-Since we now have a direct reference to the JuMP decision variables, it is possible to fix variables, change the coefficients in the objective function, or even add new constraints to the model before solving it. The script below shows how can this be accomplished. For more information on modifying an existing model, [see the JuMP documentation](https://jump.dev/JuMP.jl/stable/manual/variables/).
-
-```julia
-using Cbc
-using JuMP
-using UnitCommitment
-
-# Load benchmark instance
-instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
-
-# Construct JuMP model
-model = UnitCommitment.build_model(
-    instance=instance,
-    optimizer=Cbc.Optimizer,
-)
-
-# Fix a decision variable to 1.0
-JuMP.fix(
-    model[:is_on]["g1",1],
-    1.0,
-    force=true,
-)
-
-# Change the objective function
-JuMP.set_objective_coefficient(
-    model,
-    model[:switch_on]["g2",1],
-    1000.0,
-)
-
-# Create a new constraint
-@constraint(
-    model,
-    model[:is_on]["g3",1] + model[:is_on]["g4",1] <= 1,
-)
-
-# Solve the model
-UnitCommitment.optimize!(model)
-```
-
-### Adding new component to a bus
-
-The following snippet shows how to add a new grid component to a particular bus. For each time step, we create decision variables for the new grid component, add these variables to the objective function, then attach the component to a particular bus by modifying some existing model constraints. 
-
-```julia
-using Cbc
-using JuMP
-using UnitCommitment
-
-# Load instance and build base model
-instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
-model = UnitCommitment.build_model(
-    instance=instance,
-    optimizer=Cbc.Optimizer,
-)
-
-# Get the number of time steps in the original instance
-T = instance.time
-
-# Create decision variables for the new grid component.
-# In this example, we assume that the new component can
-# inject up to 10 MW of power at each time step, so we
-# create new continuous variables 0 ≤ x[t] ≤ 10.
-@variable(model, x[1:T], lower_bound=0.0, upper_bound=10.0)
-
-# For each time step
-for t in 1:T
-
-    # Add production costs to the objective function.
-    # In this example, we assume a cost of $5/MW.
-    set_objective_coefficient(model, x[t], 5.0)
-
-    # Attach the new component to bus b1, by modifying the
-    # constraint `eq_net_injection`.
-    set_normalized_coefficient(
-        model[:eq_net_injection]["b1", t],
-        x[t],
-        1.0,
-    )
-end
-
-# Solve the model
-UnitCommitment.optimize!(model)
-
-# Show optimal values for the x variables
-@show value.(x)
-```
-
-References
----------
-* [KnOsWa20] **Bernard Knueven, James Ostrowski and Jean-Paul Watson.** "On Mixed-Integer Programming Formulations for the Unit Commitment Problem". INFORMS Journal on Computing (2020). [DOI: 10.1287/ijoc.2019.0944](https://doi.org/10.1287/ijoc.2019.0944)
-
--- a/instances/README.md
+++ b/instances/README.md
@@ -0,0 +1,53 @@
+Instances
+=========
+
+UnitCommitment.jl provides a large collection of benchmark instances collected
+from the literature and converted to a common data format. If you use these instances in your research, we request that you cite UnitCommitment.jl, as well as the original sources, as listed below. [See documentation for more details](https://anl-ceeesa.github.io/UnitCommitment.jl/).
+
+References
+----------
+
+### UnitCommitment.jl
+
+* [UCJL] **Alinson S. Xavier, Feng Qiu.** "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment". Zenodo (2020). [DOI: 10.5281/zenodo.4269874](https://doi.org/10.5281/zenodo.4269874)
+
+
+### MATPOWER
+
+* [MTPWR] **D. Zimmerman, C. E. Murillo-Sandnchez and R. J. Thomas.** "Matpower:  Steady-state  operations,  planning,  and  analysis  tools  forpower systems research and education", IEEE Transactions on PowerSystems, vol. 26, no. 1, pp. 12 –19, Feb. 2011. [DOI: 10.1109/TPWRS.2010.2051168](https://doi.org/10.1109/TPWRS.2010.2051168)
+
+* [PSTCA] **University of Washington, Dept. of Electrical Engineering.** "Power Systems Test Case Archive". Available at: <http://www.ee.washington.edu/research/pstca/> (Accessed: Nov 14, 2020)
+
+* [JoFlMa16] **C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici.** "AC Power Flow
+Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE". [ArXiv (2016)](https://arxiv.org/abs/1603.01533).
+
+* [FlPaCa13] **S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel.**
+"Contingency ranking with respect to overloads in very large power
+systems taking into account uncertainty, preventive and corrective
+actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
+[DOI: 10.1109/TPWRS.2013.2251015](https://doi.org/10.1109/TPWRS.2013.2251015)
+
+
+### PGLIB-UC
+
+* [PGLIB] **Carleton Coffrin and Bernard Knueven.** "Power Grid Lib - Unit Commitment". Available at: <https://github.com/power-grid-lib/pglib-uc> (Accessed: Nov 14, 2020)
+
+* [KrHiOn12] **Eric Krall, Michael Higgins and Richard P. O’Neill.** "RTO unit commitment test system." Federal Energy Regulatory Commission. Available at: <https://www.ferc.gov/industries-data/electric/power-sales-and-markets/increasing-efficiency-through-improved-software-1> (Accessed: Nov 14, 2020)
+
+* [KnOsWa20] **Bernard Knueven, James Ostrowski and Jean-Paul Watson.** "On Mixed-Integer Programming Formulations for the Unit Commitment Problem". INFORMS Journal on Computing (2020). [DOI: 10.1287/ijoc.2019.0944](https://doi.org/10.1287/ijoc.2019.0944)
+
+### RTS-GMLC
+
+* https://github.com/GridMod/RTS-GMLC
+
+* [BaBlEh19] **Clayton Barrows, Aaron Bloom, Ali Ehlen, Jussi Ikaheimo, Jennie Jorgenson, Dheepak Krishnamurthy, Jessica Lau et al.** "The IEEE Reliability Test System: A Proposed 2019 Update." IEEE Transactions on Power Systems (2019). [DOI: 10.1109/TPWRS.2019.2925557](https://doi.org/10.1109/TPWRS.2019.2925557)
+
+### OR-LIB
+
+* [ORLIB] **J.E.Beasley.** "OR-Library: distributing test problems by electronic mail", Journal of the Operational Research Society 41(11) (1990). [DOI: 10.2307/2582903](https://doi.org/10.2307/2582903)
+
+* [FrGe06] **A. Frangioni, C. Gentile.** "Solving nonlinear single-unit commitment problems with ramping constraints" Operations Research 54(4), p. 767 - 775, 2006. [DOI: 10.1287/opre.1060.0309](https://doi.org/10.1287/opre.1060.0309)
+
+### Tejada19
+
+* [TeLuSa19] **D. A. Tejada-Arango, S. Lumbreras, P. Sanchez-Martin and A. Ramos.** "Which Unit-Commitment Formulation is Best? A Systematic Comparison," in IEEE Transactions on Power Systems. [DOI: 10.1109/TPWRS.2019.2962024](https://ieeexplore.ieee.org/document/8941313/).
--- a/instances/matpower/case118/2017-02-01.json.gz
+++ b/instances/matpower/case118/2017-02-01.json.gz
--- a/instances/matpower/case118/2017-08-01.json.gz
+++ b/instances/matpower/case118/2017-08-01.json.gz
--- a/instances/matpower/case1354pegase/2017-02-01.json.gz
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--- a/instances/matpower/case14/2017-02-01.json.gz
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--- a/instances/matpower/case14/2017-08-01.json.gz
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--- a/instances/matpower/case1888rte/2017-02-01.json.gz
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--- a/instances/matpower/case2848rte/2017-02-01.json.gz
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--- a/instances/matpower/case30/2017-02-01.json.gz
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--- a/instances/matpower/case300/2017-02-01.json.gz
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--- a/instances/matpower/case3012wp/2017-02-01.json.gz
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--- a/instances/matpower/case57/2017-02-01.json.gz
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--- a/instances/matpower/case57/2017-08-01.json.gz
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--- a/instances/matpower/case6468rte/2017-02-01.json.gz
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--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Alinson S Xavier	675143967f	Fix some merge issues	2020-11-20 12:17:59 -06:00
Alinson S Xavier	ba9e086bea	Merge branch 'dev' into akazachk/formulations	2020-11-20 10:55:48 -06:00
Aleksandr Kazachkov	3baddf158a	Implement multiple formulations	2020-11-20 10:52:23 -06:00