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84 lines
2.7 KiB
84 lines
2.7 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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import Random
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import UnitCommitment: XavQiuAhm2021
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using Distributions
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using Random
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using UnitCommitment, Cbc, JuMP
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function get_scenario()
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return UnitCommitment.read_benchmark(
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"matpower/case118/2017-02-01",
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).scenarios[1]
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end
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system_load(sc) = sum(b.load for b in sc.buses)
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test_approx(x, y) = @test isapprox(x, y, atol = 1e-3)
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@testset "XavQiuAhm2021" begin
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@testset "cost and load share" begin
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sc = get_scenario()
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# Check original costs
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unit = sc.thermal_units[10]
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test_approx(unit.min_power_cost[1], 825.023)
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test_approx(unit.cost_segments[1].cost[1], 36.659)
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test_approx(unit.startup_categories[1].cost[1], 7570.42)
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# Check original load share
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bus = sc.buses[1]
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prev_system_load = system_load(sc)
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test_approx(bus.load[1] / prev_system_load[1], 0.012)
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randomize!(
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sc,
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XavQiuAhm2021.Randomization(randomize_load_profile = false),
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rng = MersenneTwister(42),
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)
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# Check randomized costs
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test_approx(unit.min_power_cost[1], 831.977)
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test_approx(unit.cost_segments[1].cost[1], 36.968)
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test_approx(unit.startup_categories[1].cost[1], 7634.226)
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# Check randomized load share
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curr_system_load = system_load(sc)
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test_approx(bus.load[1] / curr_system_load[1], 0.013)
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# System load should not change
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@test prev_system_load ≈ curr_system_load
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end
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@testset "load profile" begin
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sc = get_scenario()
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# Check original load profile
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@test round.(system_load(sc), digits = 1)[1:8] ≈
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[3059.5, 2983.2, 2937.5, 2953.9, 3073.1, 3356.4, 4068.5, 4018.8]
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randomize!(sc, XavQiuAhm2021.Randomization(); rng = MersenneTwister(42))
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# Check randomized load profile
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@test round.(system_load(sc), digits = 1)[1:8] ≈
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[4854.7, 4849.2, 4732.7, 4848.2, 4948.4, 5231.1, 5874.8, 5934.8]
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end
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@testset "profiled unit cost" begin
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sc =
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UnitCommitment.read("$FIXTURES/case14-profiled.json.gz").scenarios[1]
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# Check original costs
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pu1 = sc.profiled_units[1]
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pu2 = sc.profiled_units[2]
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test_approx(pu1.cost[1], 100.0)
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test_approx(pu2.cost[1], 50.0)
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randomize!(
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sc,
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XavQiuAhm2021.Randomization(randomize_load_profile = false),
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rng = MersenneTwister(42),
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)
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# Check randomized costs
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test_approx(pu1.cost[1], 98.039)
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test_approx(pu2.cost[1], 48.385)
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end
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end
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