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167 lines
6.4 KiB
167 lines
6.4 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, JSON, GZip
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@testset "read_benchmark" begin
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instance = UnitCommitment.read("$FIXTURES/case14.json.gz")
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@test repr(instance) == (
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"UnitCommitmentInstance(1 scenarios, 6 thermal units, 0 profiled units, 14 buses, " *
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"20 lines, 19 contingencies, 1 price sensitive loads, 4 time steps)"
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)
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@test length(instance.scenarios) == 1
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sc = instance.scenarios[1]
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@test length(sc.lines) == 20
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@test length(sc.buses) == 14
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@test length(sc.thermal_units) == 6
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@test length(sc.contingencies) == 19
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@test length(sc.price_sensitive_loads) == 1
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@test instance.time == 4
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@test sc.lines[5].name == "l5"
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@test sc.lines[5].source.name == "b2"
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@test sc.lines[5].target.name == "b5"
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@test sc.lines[5].reactance ≈ 0.17388
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@test sc.lines[5].susceptance ≈ 10.037550333
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@test sc.lines[5].normal_flow_limit == [1e8 for t in 1:4]
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@test sc.lines[5].emergency_flow_limit == [1e8 for t in 1:4]
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@test sc.lines[5].flow_limit_penalty == [5e3 for t in 1:4]
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@test sc.lines_by_name["l5"].name == "l5"
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@test sc.lines[1].name == "l1"
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@test sc.lines[1].source.name == "b1"
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@test sc.lines[1].target.name == "b2"
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@test sc.lines[1].reactance ≈ 0.059170
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@test sc.lines[1].susceptance ≈ 29.496860773945
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@test sc.lines[1].normal_flow_limit == [300.0 for t in 1:4]
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@test sc.lines[1].emergency_flow_limit == [400.0 for t in 1:4]
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@test sc.lines[1].flow_limit_penalty == [1e3 for t in 1:4]
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@test sc.buses[9].name == "b9"
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@test sc.buses[9].load == [35.36638, 33.25495, 31.67138, 31.14353]
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@test sc.buses_by_name["b9"].name == "b9"
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@test sc.reserves[1].name == "r1"
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@test sc.reserves[1].type == "spinning"
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@test sc.reserves[1].amount == [100.0, 100.0, 100.0, 100.0]
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@test sc.reserves_by_name["r1"].name == "r1"
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unit = sc.thermal_units[1]
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@test unit.name == "g1"
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@test unit.bus.name == "b1"
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@test unit.ramp_up_limit == 1e6
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@test unit.ramp_down_limit == 1e6
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@test unit.startup_limit == 1e6
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@test unit.shutdown_limit == 1e6
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@test unit.must_run == [false for t in 1:4]
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@test unit.min_power_cost == [1400.0 for t in 1:4]
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@test unit.min_uptime == 1
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@test unit.min_downtime == 1
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for t in 1:1
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@test unit.cost_segments[1].mw[t] == 10.0
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@test unit.cost_segments[2].mw[t] == 20.0
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@test unit.cost_segments[3].mw[t] == 5.0
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@test unit.cost_segments[1].cost[t] ≈ 20.0
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@test unit.cost_segments[2].cost[t] ≈ 30.0
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@test unit.cost_segments[3].cost[t] ≈ 40.0
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end
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@test length(unit.startup_categories) == 3
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@test unit.startup_categories[1].delay == 1
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@test unit.startup_categories[2].delay == 2
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@test unit.startup_categories[3].delay == 3
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@test unit.startup_categories[1].cost == 1000.0
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@test unit.startup_categories[2].cost == 1500.0
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@test unit.startup_categories[3].cost == 2000.0
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@test length(unit.reserves) == 0
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@test sc.thermal_units_by_name["g1"].name == "g1"
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unit = sc.thermal_units[2]
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@test unit.name == "g2"
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@test unit.must_run == [false for t in 1:4]
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@test length(unit.reserves) == 1
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unit = sc.thermal_units[3]
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@test unit.name == "g3"
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@test unit.bus.name == "b3"
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@test unit.ramp_up_limit == 70.0
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@test unit.ramp_down_limit == 70.0
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@test unit.startup_limit == 70.0
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@test unit.shutdown_limit == 70.0
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@test unit.must_run == [true for t in 1:4]
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@test unit.min_power_cost == [0.0 for t in 1:4]
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@test unit.min_uptime == 1
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@test unit.min_downtime == 1
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for t in 1:4
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@test unit.cost_segments[1].mw[t] ≈ 33
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@test unit.cost_segments[2].mw[t] ≈ 33
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@test unit.cost_segments[3].mw[t] ≈ 34
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@test unit.cost_segments[1].cost[t] ≈ 33.75
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@test unit.cost_segments[2].cost[t] ≈ 38.04
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@test unit.cost_segments[3].cost[t] ≈ 44.77853
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end
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@test length(unit.reserves) == 1
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@test unit.reserves[1].name == "r1"
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@test sc.contingencies[1].lines == [sc.lines[1]]
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@test sc.contingencies[1].thermal_units == []
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@test sc.contingencies[1].name == "c1"
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@test sc.contingencies_by_name["c1"].name == "c1"
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load = sc.price_sensitive_loads[1]
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@test load.name == "ps1"
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@test load.bus.name == "b3"
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@test load.revenue == [100.0 for t in 1:4]
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@test load.demand == [50.0 for t in 1:4]
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@test sc.price_sensitive_loads_by_name["ps1"].name == "ps1"
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end
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@testset "read_benchmark sub-hourly" begin
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instance = UnitCommitment.read("$FIXTURES/case14-sub-hourly.json.gz")
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@test instance.time == 4
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unit = instance.scenarios[1].thermal_units[1]
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@test unit.name == "g1"
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@test unit.min_uptime == 2
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@test unit.min_downtime == 2
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@test length(unit.startup_categories) == 3
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@test unit.startup_categories[1].delay == 2
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@test unit.startup_categories[2].delay == 4
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@test unit.startup_categories[3].delay == 6
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@test unit.initial_status == -200
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end
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@testset "read_benchmark profiled-units" begin
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instance = UnitCommitment.read("$FIXTURES/case14-profiled.json.gz")
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sc = instance.scenarios[1]
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@test length(sc.profiled_units) == 2
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first_pu = sc.profiled_units[1]
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@test first_pu.name == "g7"
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@test first_pu.bus.name == "b4"
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@test first_pu.cost == [100.0 for t in 1:4]
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@test first_pu.min_power == [60.0 for t in 1:4]
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@test first_pu.max_power == [100.0 for t in 1:4]
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@test sc.profiled_units_by_name["g7"].name == "g7"
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second_pu = sc.profiled_units[2]
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@test second_pu.name == "g8"
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@test second_pu.bus.name == "b5"
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@test second_pu.cost == [50.0 for t in 1:4]
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@test second_pu.min_power == [0.0 for t in 1:4]
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@test second_pu.max_power == [120.0 for t in 1:4]
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@test sc.profiled_units_by_name["g8"].name == "g8"
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end
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@testset "read_benchmark commitmemt-status" begin
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instance = UnitCommitment.read("$FIXTURES/case14-fixed-status.json.gz")
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sc = instance.scenarios[1]
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@test sc.thermal_units[1].commitment_status == [nothing for t in 1:4]
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@test sc.thermal_units[2].commitment_status == [true for t in 1:4]
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@test sc.thermal_units[4].commitment_status == [false for t in 1:4]
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@test sc.thermal_units[6].commitment_status ==
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[false, nothing, true, nothing]
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end
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