UnitCommitment.jl/test/src/lmp/aelmp_test.jl

# 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.

using UnitCommitment, Cbc, HiGHS, JuMP
import UnitCommitment: AELMP

function lmp_aelmp_test()
    @testset "aelmp" begin
        path = fixture("aelmp_simple.json.gz")
        # model has to be solved first
        instance = UnitCommitment.read(path)
        model = UnitCommitment.build_model(
            instance = instance,
            optimizer = optimizer_with_attributes(
                Cbc.Optimizer,
                "logLevel" => 0,
            ),
            variable_names = true,
        )
        JuMP.set_silent(model)
        UnitCommitment.optimize!(model)

        # policy 1: allow offlines; consider startups
        aelmp_1 = UnitCommitment.compute_lmp(
            model,
            AELMP(),
            optimizer = optimizer_with_attributes(
                HiGHS.Optimizer,
                "log_to_console" => false,
            ),
        )
        @test aelmp_1["s1", "B1", 1] ≈ 231.7 atol = 0.1

        # policy 2: do not allow offlines; but consider startups
        aelmp_2 = UnitCommitment.compute_lmp(
            model,
            AELMP(
                allow_offline_participation = false,
                consider_startup_costs = true,
            ),
            optimizer = optimizer_with_attributes(
                HiGHS.Optimizer,
                "log_to_console" => false,
            ),
        )
        @test aelmp_2["s1", "B1", 1] ≈ 274.3 atol = 0.1
    end
end