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62 lines
1.9 KiB
62 lines
1.9 KiB
# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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using UnitCommitment
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using JuMP
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using Gurobi
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using JSON
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using Logging
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using Printf
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using LinearAlgebra
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function main()
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basename, suffix = split(ARGS[1], ".")
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solution_filename = "results/$basename.$suffix.sol.json"
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model_filename = "results/$basename.$suffix.mps.gz"
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time_limit = 60 * 20
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BLAS.set_num_threads(4)
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global_logger(TimeLogger(initial_time = time()))
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total_time = @elapsed begin
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@info "Reading: $basename"
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time_read = @elapsed begin
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instance = UnitCommitment.read_benchmark(basename)
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end
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@info @sprintf("Read problem in %.2f seconds", time_read)
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time_model = @elapsed begin
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model = build_model(instance=instance,
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optimizer=optimizer_with_attributes(Gurobi.Optimizer,
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"Threads" => 4,
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"Seed" => rand(1:1000),
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))
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end
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@info "Optimizing..."
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BLAS.set_num_threads(1)
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UnitCommitment.optimize!(model, time_limit=time_limit, gap_limit=1e-3)
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end
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@info @sprintf("Total time was %.2f seconds", total_time)
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@info "Writing: $solution_filename"
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solution = UnitCommitment.get_solution(model)
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open(solution_filename, "w") do file
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JSON.print(file, solution, 2)
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end
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@info "Verifying solution..."
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UnitCommitment.validate(instance, solution)
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@info "Setting variable names..."
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UnitCommitment.set_variable_names!(model)
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@info "Exporting model..."
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JuMP.write_to_file(model.mip, model_filename)
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end
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main()
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