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UnitCommitment.jl
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167
test/instance/read_test.jl
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# 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, LinearAlgebra, Cbc, JuMP, JSON, GZip
@testset "read_benchmark" begin
instance = UnitCommitment.read("$FIXTURES/case14.json.gz")
@test repr(instance) == (
"UnitCommitmentInstance(1 scenarios, 6 thermal units, 0 profiled units, 14 buses, " *
"20 lines, 19 contingencies, 1 price sensitive loads, 4 time steps)"
)
@test length(instance.scenarios) == 1
sc = instance.scenarios[1]
@test length(sc.lines) == 20
@test length(sc.buses) == 14
@test length(sc.thermal_units) == 6
@test length(sc.contingencies) == 19
@test length(sc.price_sensitive_loads) == 1
@test instance.time == 4
@test sc.time_step == 60
@test sc.lines[5].name == "l5"
@test sc.lines[5].source.name == "b2"
@test sc.lines[5].target.name == "b5"
@test sc.lines[5].reactance ≈ 0.17388
@test sc.lines[5].susceptance ≈ 10.037550333
@test sc.lines[5].normal_flow_limit == [1e8 for t in 1:4]
@test sc.lines[5].emergency_flow_limit == [1e8 for t in 1:4]
@test sc.lines[5].flow_limit_penalty == [5e3 for t in 1:4]
@test sc.lines_by_name["l5"].name == "l5"
@test sc.lines[1].name == "l1"
@test sc.lines[1].source.name == "b1"
@test sc.lines[1].target.name == "b2"
@test sc.lines[1].reactance ≈ 0.059170
@test sc.lines[1].susceptance ≈ 29.496860773945
@test sc.lines[1].normal_flow_limit == [300.0 for t in 1:4]
@test sc.lines[1].emergency_flow_limit == [400.0 for t in 1:4]
@test sc.lines[1].flow_limit_penalty == [1e3 for t in 1:4]
@test sc.buses[9].name == "b9"
@test sc.buses[9].load == [35.36638, 33.25495, 31.67138, 31.14353]
@test sc.buses_by_name["b9"].name == "b9"
@test sc.reserves[1].name == "r1"
@test sc.reserves[1].type == "spinning"
@test sc.reserves[1].amount == [100.0, 100.0, 100.0, 100.0]
@test sc.reserves_by_name["r1"].name == "r1"
unit = sc.thermal_units[1]
@test unit.name == "g1"
@test unit.bus.name == "b1"
@test unit.ramp_up_limit == 1e6
@test unit.ramp_down_limit == 1e6
@test unit.startup_limit == 1e6
@test unit.shutdown_limit == 1e6
@test unit.must_run == [false for t in 1:4]
@test unit.min_power_cost == [1400.0 for t in 1:4]
@test unit.min_uptime == 1
@test unit.min_downtime == 1
for t in 1:1
@test unit.cost_segments[1].mw[t] == 10.0
@test unit.cost_segments[2].mw[t] == 20.0
@test unit.cost_segments[3].mw[t] == 5.0
@test unit.cost_segments[1].cost[t] ≈ 20.0
@test unit.cost_segments[2].cost[t] ≈ 30.0
@test unit.cost_segments[3].cost[t] ≈ 40.0
end
@test length(unit.startup_categories) == 3
@test unit.startup_categories[1].delay == 1
@test unit.startup_categories[2].delay == 2
@test unit.startup_categories[3].delay == 3
@test unit.startup_categories[1].cost == 1000.0
@test unit.startup_categories[2].cost == 1500.0
@test unit.startup_categories[3].cost == 2000.0
@test length(unit.reserves) == 0
@test sc.thermal_units_by_name["g1"].name == "g1"
unit = sc.thermal_units[2]
@test unit.name == "g2"
@test unit.must_run == [false for t in 1:4]
@test length(unit.reserves) == 1
unit = sc.thermal_units[3]
@test unit.name == "g3"
@test unit.bus.name == "b3"
@test unit.ramp_up_limit == 70.0
@test unit.ramp_down_limit == 70.0
@test unit.startup_limit == 70.0
@test unit.shutdown_limit == 70.0
@test unit.must_run == [true for t in 1:4]
@test unit.min_power_cost == [0.0 for t in 1:4]
@test unit.min_uptime == 1
@test unit.min_downtime == 1
for t in 1:4
@test unit.cost_segments[1].mw[t] ≈ 33
@test unit.cost_segments[2].mw[t] ≈ 33
@test unit.cost_segments[3].mw[t] ≈ 34
@test unit.cost_segments[1].cost[t] ≈ 33.75
@test unit.cost_segments[2].cost[t] ≈ 38.04
@test unit.cost_segments[3].cost[t] ≈ 44.77853
end
@test length(unit.reserves) == 1
@test unit.reserves[1].name == "r1"
@test sc.contingencies[1].lines == [sc.lines[1]]
@test sc.contingencies[1].thermal_units == []
@test sc.contingencies[1].name == "c1"
@test sc.contingencies_by_name["c1"].name == "c1"
load = sc.price_sensitive_loads[1]
@test load.name == "ps1"
@test load.bus.name == "b3"
@test load.revenue == [100.0 for t in 1:4]
@test load.demand == [50.0 for t in 1:4]
@test sc.price_sensitive_loads_by_name["ps1"].name == "ps1"
end
@testset "read_benchmark sub-hourly" begin
instance = UnitCommitment.read("$FIXTURES/case14-sub-hourly.json.gz")
@test instance.time == 4
unit = instance.scenarios[1].thermal_units[1]
@test unit.name == "g1"
@test unit.min_uptime == 2
@test unit.min_downtime == 2
@test length(unit.startup_categories) == 3
@test unit.startup_categories[1].delay == 2
@test unit.startup_categories[2].delay == 4
@test unit.startup_categories[3].delay == 6
@test unit.initial_status == -200
end
@testset "read_benchmark profiled-units" begin
instance = UnitCommitment.read("$FIXTURES/case14-profiled.json.gz")
sc = instance.scenarios[1]
@test length(sc.profiled_units) == 2
first_pu = sc.profiled_units[1]
@test first_pu.name == "g7"
@test first_pu.bus.name == "b4"
@test first_pu.cost == [100.0 for t in 1:4]
@test first_pu.min_power == [60.0 for t in 1:4]
@test first_pu.max_power == [100.0 for t in 1:4]
@test sc.profiled_units_by_name["g7"].name == "g7"
second_pu = sc.profiled_units[2]
@test second_pu.name == "g8"
@test second_pu.bus.name == "b5"
@test second_pu.cost == [50.0 for t in 1:4]
@test second_pu.min_power == [0.0 for t in 1:4]
@test second_pu.max_power == [120.0 for t in 1:4]
@test sc.profiled_units_by_name["g8"].name == "g8"
end
@testset "read_benchmark commitmemt-status" begin
instance = UnitCommitment.read("$FIXTURES/case14-fixed-status.json.gz")
sc = instance.scenarios[1]
@test sc.thermal_units[1].commitment_status == [nothing for t in 1:4]
@test sc.thermal_units[2].commitment_status == [true for t in 1:4]
@test sc.thermal_units[4].commitment_status == [false for t in 1:4]
@test sc.thermal_units[6].commitment_status ==
[false, nothing, true, nothing]
end

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test/runtests.jl
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# 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 Test
using UnitCommitment
push!(Base.LOAD_PATH, @__DIR__)
UnitCommitment._setup_logger(level = Base.CoreLogging.Error)
FIXTURES = "$(@__DIR__)/fixtures"
@testset "UnitCommitment" begin
include("usage.jl")
@testset "import" begin
include("import/egret_test.jl")
end
@testset "instance" begin
include("instance/read_test.jl")
include("instance/migrate_test.jl")
end
@testset "model" begin
include("model/formulations_test.jl")
end
@testset "solution" begin
@testset "XavQiuWanThi19" begin
include("solution/methods/XavQiuWanThi19/filter_test.jl")
include("solution/methods/XavQiuWanThi19/find_test.jl")
include("solution/methods/XavQiuWanThi19/sensitivity_test.jl")
end
@testset "TimeDecomposition" begin
include("solution/methods/TimeDecomposition/initial_status_test.jl")
include(
"solution/methods/TimeDecomposition/update_solution_test.jl",
)
include("solution/methods/TimeDecomposition/optimize_test.jl")
end
end
@testset "transform" begin
include("transform/initcond_test.jl")
include("transform/slice_test.jl")
@testset "randomize" begin
include("transform/randomize/XavQiuAhm2021_test.jl")
end
end
@testset "validation" begin
include("validation/repair_test.jl")
end
@testset "lmp" begin
include("lmp/conventional_test.jl")
include("lmp/aelmp_test.jl")
end
end

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test/solution/methods/TimeDecomposition/initial_status_test.jl
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# 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, DataStructures
@testset "determine_initial_status" begin
hot_start = 100
cold_start = -100
# all on throughout
stat_seq = ones(36)
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 136
# cold start
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 36
# off in the last 12 periods
stat_seq = ones(36)
stat_seq[25:end] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == -12
# cold start
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == -12
# off in one period
stat_seq = ones(36)
stat_seq[10] = 0
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 26
# cold start
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 26
# off in several of the first 24 periods
stat_seq = ones(36)
stat_seq[[10, 11, 20]] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 16
# cold start
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 16
# all off throughout
stat_seq = zeros(36)
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == -36
# cold start
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == -136
# on in the last 12 periods
stat_seq = zeros(36)
stat_seq[25:end] .= 1
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 12
# cold start
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 12
end
@testset "set_initial_status" begin
# read one scenario
instance = UnitCommitment.read("$FIXTURES/case14.json.gz")
psuedo_solution = OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [0.0, 112.0, 114.0, 116.0],
"g2" => [0.0, 102.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 34.0, 66.0, 99.0],
"g5" => [0.0, 34.0, 66.0, 99.0],
"g6" => [0.0, 100.0, 100.0, 100.0],
),
"Is on" => OrderedDict(
"g1" => [0.0, 1.0, 1.0, 1.0],
"g2" => [0.0, 1.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 1.0, 1.0, 1.0],
"g5" => [0.0, 1.0, 1.0, 1.0],
"g6" => [0.0, 1.0, 1.0, 1.0],
),
)
UnitCommitment._set_initial_status!(instance, psuedo_solution, 3)
thermal_units = instance.scenarios[1].thermal_units
@test thermal_units[1].initial_power == 116.0
@test thermal_units[1].initial_status == 3.0
@test thermal_units[2].initial_power == 0.0
@test thermal_units[2].initial_status == -2.0
@test thermal_units[3].initial_power == 0.0
@test thermal_units[3].initial_status == -9.0
# read multiple scenarios
instance = UnitCommitment.read([
"$FIXTURES/case14.json.gz",
"$FIXTURES/case14-profiled.json.gz",
])
psuedo_solution = OrderedDict(
"case14" => OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [0.0, 112.0, 114.0, 116.0],
"g2" => [0.0, 102.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 34.0, 66.0, 99.0],
"g5" => [0.0, 34.0, 66.0, 99.0],
"g6" => [0.0, 100.0, 100.0, 100.0],
),
"Is on" => OrderedDict(
"g1" => [0.0, 1.0, 1.0, 1.0],
"g2" => [0.0, 1.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 1.0, 1.0, 1.0],
"g5" => [0.0, 1.0, 1.0, 1.0],
"g6" => [0.0, 1.0, 1.0, 1.0],
),
),
"case14-profiled" => OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [0.0, 113.0, 116.0, 115.0],
"g2" => [0.0, 0.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 20.0],
"g4" => [0.0, 34.0, 66.0, 98.0],
"g5" => [0.0, 34.0, 66.0, 97.0],
"g6" => [0.0, 100.0, 100.0, 100.0],
),
"Is on" => OrderedDict(
"g1" => [0.0, 1.0, 1.0, 1.0],
"g2" => [0.0, 0.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 1.0],
"g4" => [0.0, 1.0, 1.0, 1.0],
"g5" => [0.0, 1.0, 1.0, 1.0],
"g6" => [0.0, 1.0, 1.0, 1.0],
),
),
)
UnitCommitment._set_initial_status!(instance, psuedo_solution, 3)
thermal_units_sc2 = instance.scenarios[2].thermal_units
@test thermal_units_sc2[1].initial_power == 115.0
@test thermal_units_sc2[1].initial_status == 3.0
@test thermal_units_sc2[2].initial_power == 0.0
@test thermal_units_sc2[2].initial_status == -11.0
@test thermal_units_sc2[3].initial_power == 20.0
@test thermal_units_sc2[3].initial_status == 1.0
end

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test/solution/methods/TimeDecomposition/optimize_test.jl
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# 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, DataStructures, Cbc
import UnitCommitment: TimeDecomposition, XavQiuWanThi2019, Formulation
@testset "optimize_time_decomposition" begin
# read one scenario
instance = UnitCommitment.read("$FIXTURES/case14.json.gz")
solution = UnitCommitment.optimize!(
instance,
TimeDecomposition(
time_window = 3,
time_increment = 2,
inner_method = XavQiuWanThi2019.Method(),
formulation = Formulation(),
),
optimizer = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0),
)
@test length(solution["Thermal production (MW)"]["g1"]) == 4
@test length(solution["Is on"]["g2"]) == 4
@test length(solution["Spinning reserve (MW)"]["r1"]["g2"]) == 4
# read multiple scenarios
instance = UnitCommitment.read([
"$FIXTURES/case14.json.gz",
"$FIXTURES/case14-profiled.json.gz",
])
solution = UnitCommitment.optimize!(
instance,
TimeDecomposition(
time_window = 3,
time_increment = 2,
inner_method = XavQiuWanThi2019.Method(),
formulation = Formulation(),
),
optimizer = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0),
)
@test length(solution["case14"]["Thermal production (MW)"]["g3"]) == 4
@test length(solution["case14"]["Is on"]["g4"]) == 4
@test length(
solution["case14-profiled"]["Thermal production (MW)"]["g5"],
) == 4
@test length(solution["case14-profiled"]["Is on"]["g6"]) == 4
@test length(
solution["case14-profiled"]["Profiled production (MW)"]["g7"],
) == 4
@test length(
solution["case14-profiled"]["Spinning reserve (MW)"]["r1"]["g3"],
) == 4
end

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test/solution/methods/TimeDecomposition/update_solution_test.jl
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# 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, DataStructures
@testset "update_solution" begin
psuedo_solution = OrderedDict()
time_increment = 4
psuedo_sub_solution = OrderedDict(
"Thermal production (MW)" =>
OrderedDict("g1" => [100.0, 200.0, 300.0, 400.0, 500.0, 600.0]),
"Is on" => OrderedDict("g1" => [1.0, 0.0, 1.0, 1.0, 0.0, 1.0]),
"Profiled production (MW)" =>
OrderedDict("g1" => [199.0, 299.0, 399.0, 499.0, 599.0, 699.0]),
"Spinning reserve (MW)" => OrderedDict(
"r1" => OrderedDict("g1" => [31.0, 32.0, 33.0, 34.0, 35.0, 36.0]),
),
)
# first update should directly copy the first 4 entries of sub solution
UnitCommitment._update_solution!(
psuedo_solution,
psuedo_sub_solution,
time_increment,
)
@test psuedo_solution["Thermal production (MW)"]["g1"] ==
[100.0, 200.0, 300.0, 400.0]
@test psuedo_solution["Is on"]["g1"] == [1.0, 0.0, 1.0, 1.0]
@test psuedo_solution["Profiled production (MW)"]["g1"] ==
[199.0, 299.0, 399.0, 499.0]
@test psuedo_solution["Spinning reserve (MW)"]["r1"]["g1"] ==
[31.0, 32.0, 33.0, 34.0]
# second update should append the first 4 entries of sub solution
UnitCommitment._update_solution!(
psuedo_solution,
psuedo_sub_solution,
time_increment,
)
@test psuedo_solution["Thermal production (MW)"]["g1"] ==
[100.0, 200.0, 300.0, 400.0, 100.0, 200.0, 300.0, 400.0]
@test psuedo_solution["Is on"]["g1"] ==
[1.0, 0.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0]
@test psuedo_solution["Profiled production (MW)"]["g1"] ==
[199.0, 299.0, 399.0, 499.0, 199.0, 299.0, 399.0, 499.0]
@test psuedo_solution["Spinning reserve (MW)"]["r1"]["g1"] ==
[31.0, 32.0, 33.0, 34.0, 31.0, 32.0, 33.0, 34.0]
end

6
test/src/UnitCommitmentT.jl
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@ -13,6 +13,9 @@ include("solution/methods/XavQiuWanThi19/filter_test.jl")
include("solution/methods/XavQiuWanThi19/find_test.jl")
include("solution/methods/XavQiuWanThi19/sensitivity_test.jl")
include("solution/methods/ProgressiveHedging/usage_test.jl")
include("solution/methods/TimeDecomposition/initial_status_test.jl")
include("solution/methods/TimeDecomposition/optimize_test.jl")
include("solution/methods/TimeDecomposition/update_solution_test.jl")
include("transform/initcond_test.jl")
include("transform/slice_test.jl")
include("transform/randomize/XavQiuAhm2021_test.jl")
@ -39,6 +42,9 @@ function runtests()
solution_methods_XavQiuWanThi19_find_test()
solution_methods_XavQiuWanThi19_sensitivity_test()
solution_methods_ProgressiveHedging_usage_test()
solution_methods_TimeDecomposition_initial_status_test()
solution_methods_TimeDecomposition_optimize_test()
solution_methods_TimeDecomposition_update_solution_test()
transform_initcond_test()
transform_slice_test()
transform_randomize_XavQiuAhm2021_test()

1
test/src/instance/read_test.jl
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@ -21,6 +21,7 @@ function instance_read_test()
@test length(sc.contingencies) == 19
@test length(sc.price_sensitive_loads) == 1
@test instance.time == 4
@test sc.time_step == 60
@test sc.lines[5].name == "l5"
@test sc.lines[5].source.name == "b2"

159
test/src/solution/methods/TimeDecomposition/initial_status_test.jl
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# 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, DataStructures
function solution_methods_TimeDecomposition_initial_status_test()
@testset "determine_initial_status" begin
hot_start = 100
cold_start = -100
# all on throughout
stat_seq = ones(36)
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 136
# cold start
new_stat =
UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 36
# off in the last 12 periods
stat_seq = ones(36)
stat_seq[25:end] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == -12
# cold start
new_stat =
UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == -12
# off in one period
stat_seq = ones(36)
stat_seq[10] = 0
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 26
# cold start
new_stat =
UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 26
# off in several of the first 24 periods
stat_seq = ones(36)
stat_seq[[10, 11, 20]] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 16
# cold start
new_stat =
UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 16
# all off throughout
stat_seq = zeros(36)
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == -36
# cold start
new_stat =
UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == -136
# on in the last 12 periods
stat_seq = zeros(36)
stat_seq[25:end] .= 1
# hot start
new_stat = UnitCommitment._determine_initial_status(hot_start, stat_seq)
@test new_stat == 12
# cold start
new_stat =
UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 12
end
@testset "set_initial_status" begin
# read one scenario
instance = UnitCommitment.read(fixture("case14.json.gz"))
psuedo_solution = OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [0.0, 112.0, 114.0, 116.0],
"g2" => [0.0, 102.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 34.0, 66.0, 99.0],
"g5" => [0.0, 34.0, 66.0, 99.0],
"g6" => [0.0, 100.0, 100.0, 100.0],
),
"Is on" => OrderedDict(
"g1" => [0.0, 1.0, 1.0, 1.0],
"g2" => [0.0, 1.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 1.0, 1.0, 1.0],
"g5" => [0.0, 1.0, 1.0, 1.0],
"g6" => [0.0, 1.0, 1.0, 1.0],
),
)
UnitCommitment._set_initial_status!(instance, psuedo_solution, 3)
thermal_units = instance.scenarios[1].thermal_units
@test thermal_units[1].initial_power == 116.0
@test thermal_units[1].initial_status == 3.0
@test thermal_units[2].initial_power == 0.0
@test thermal_units[2].initial_status == -2.0
@test thermal_units[3].initial_power == 0.0
@test thermal_units[3].initial_status == -9.0
# read multiple scenarios
instance = UnitCommitment.read([
fixture("case14.json.gz"),
fixture("case14-profiled.json.gz"),
])
psuedo_solution = OrderedDict(
"case14" => OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [0.0, 112.0, 114.0, 116.0],
"g2" => [0.0, 102.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 34.0, 66.0, 99.0],
"g5" => [0.0, 34.0, 66.0, 99.0],
"g6" => [0.0, 100.0, 100.0, 100.0],
),
"Is on" => OrderedDict(
"g1" => [0.0, 1.0, 1.0, 1.0],
"g2" => [0.0, 1.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 0.0],
"g4" => [0.0, 1.0, 1.0, 1.0],
"g5" => [0.0, 1.0, 1.0, 1.0],
"g6" => [0.0, 1.0, 1.0, 1.0],
),
),
"case14-profiled" => OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [0.0, 113.0, 116.0, 115.0],
"g2" => [0.0, 0.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 20.0],
"g4" => [0.0, 34.0, 66.0, 98.0],
"g5" => [0.0, 34.0, 66.0, 97.0],
"g6" => [0.0, 100.0, 100.0, 100.0],
),
"Is on" => OrderedDict(
"g1" => [0.0, 1.0, 1.0, 1.0],
"g2" => [0.0, 0.0, 0.0, 0.0],
"g3" => [0.0, 0.0, 0.0, 1.0],
"g4" => [0.0, 1.0, 1.0, 1.0],
"g5" => [0.0, 1.0, 1.0, 1.0],
"g6" => [0.0, 1.0, 1.0, 1.0],
),
),
)
UnitCommitment._set_initial_status!(instance, psuedo_solution, 3)
thermal_units_sc2 = instance.scenarios[2].thermal_units
@test thermal_units_sc2[1].initial_power == 115.0
@test thermal_units_sc2[1].initial_status == 3.0
@test thermal_units_sc2[2].initial_power == 0.0
@test thermal_units_sc2[2].initial_status == -11.0
@test thermal_units_sc2[3].initial_power == 20.0
@test thermal_units_sc2[3].initial_status == 1.0
end
end

60
test/src/solution/methods/TimeDecomposition/optimize_test.jl
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# 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, DataStructures, Cbc
import UnitCommitment: TimeDecomposition, XavQiuWanThi2019, Formulation
function solution_methods_TimeDecomposition_optimize_test()
@testset "optimize_time_decomposition" begin
# read one scenario
instance = UnitCommitment.read(fixture("case14.json.gz"))
solution = UnitCommitment.optimize!(
instance,
TimeDecomposition(
time_window = 3,
time_increment = 2,
inner_method = XavQiuWanThi2019.Method(),
formulation = Formulation(),
),
optimizer = optimizer_with_attributes(
Cbc.Optimizer,
"logLevel" => 0,
),
)
@test length(solution["Thermal production (MW)"]["g1"]) == 4
@test length(solution["Is on"]["g2"]) == 4
@test length(solution["Spinning reserve (MW)"]["r1"]["g2"]) == 4
# read multiple scenarios
instance = UnitCommitment.read([
fixture("case14.json.gz"),
fixture("case14-profiled.json.gz"),
])
solution = UnitCommitment.optimize!(
instance,
TimeDecomposition(
time_window = 3,
time_increment = 2,
inner_method = XavQiuWanThi2019.Method(),
formulation = Formulation(),
),
optimizer = optimizer_with_attributes(
Cbc.Optimizer,
"logLevel" => 0,
),
)
@test length(solution["case14"]["Thermal production (MW)"]["g3"]) == 4
@test length(solution["case14"]["Is on"]["g4"]) == 4
@test length(
solution["case14-profiled"]["Thermal production (MW)"]["g5"],
) == 4
@test length(solution["case14-profiled"]["Is on"]["g6"]) == 4
@test length(
solution["case14-profiled"]["Profiled production (MW)"]["g7"],
) == 4
@test length(
solution["case14-profiled"]["Spinning reserve (MW)"]["r1"]["g3"],
) == 4
end
end

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test/src/solution/methods/TimeDecomposition/update_solution_test.jl
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# 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, DataStructures
function solution_methods_TimeDecomposition_update_solution_test()
@testset "update_solution" begin
psuedo_solution = OrderedDict()
time_increment = 4
psuedo_sub_solution = OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [100.0, 200.0, 300.0, 400.0, 500.0, 600.0],
),
"Is on" => OrderedDict("g1" => [1.0, 0.0, 1.0, 1.0, 0.0, 1.0]),
"Profiled production (MW)" => OrderedDict(
"g1" => [199.0, 299.0, 399.0, 499.0, 599.0, 699.0],
),
"Spinning reserve (MW)" => OrderedDict(
"r1" => OrderedDict(
"g1" => [31.0, 32.0, 33.0, 34.0, 35.0, 36.0],
),
),
)
# first update should directly copy the first 4 entries of sub solution
UnitCommitment._update_solution!(
psuedo_solution,
psuedo_sub_solution,
time_increment,
)
@test psuedo_solution["Thermal production (MW)"]["g1"] ==
[100.0, 200.0, 300.0, 400.0]
@test psuedo_solution["Is on"]["g1"] == [1.0, 0.0, 1.0, 1.0]
@test psuedo_solution["Profiled production (MW)"]["g1"] ==
[199.0, 299.0, 399.0, 499.0]
@test psuedo_solution["Spinning reserve (MW)"]["r1"]["g1"] ==
[31.0, 32.0, 33.0, 34.0]
# second update should append the first 4 entries of sub solution
UnitCommitment._update_solution!(
psuedo_solution,
psuedo_sub_solution,
time_increment,
)
@test psuedo_solution["Thermal production (MW)"]["g1"] ==
[100.0, 200.0, 300.0, 400.0, 100.0, 200.0, 300.0, 400.0]
@test psuedo_solution["Is on"]["g1"] ==
[1.0, 0.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0]
@test psuedo_solution["Profiled production (MW)"]["g1"] ==
[199.0, 299.0, 399.0, 499.0, 199.0, 299.0, 399.0, 499.0]
@test psuedo_solution["Spinning reserve (MW)"]["r1"]["g1"] ==
[31.0, 32.0, 33.0, 34.0, 31.0, 32.0, 33.0, 34.0]
end
end
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