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33 lines
1.1 KiB
33 lines
1.1 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, LinearAlgebra, Cbc, JuMP
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@testset "Model" begin
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@testset "Run" begin
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instance = UnitCommitment.read_benchmark("test/case14")
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for line in instance.lines, t in 1:4
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line.normal_flow_limit[t] = 10.0
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end
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optimizer = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0)
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model = build_model(instance=instance,
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optimizer=optimizer,
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variable_names=true)
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JuMP.write_to_file(model.mip, "test.mps")
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# Optimize and retrieve solution
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UnitCommitment.optimize!(model)
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solution = get_solution(model)
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# Verify solution
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@test UnitCommitment.validate(instance, solution)
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# Reoptimize with fixed solution
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UnitCommitment.fix!(model, solution)
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UnitCommitment.optimize!(model)
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@test UnitCommitment.validate(instance, solution)
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end
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end
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