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46 lines
1.6 KiB
46 lines
1.6 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 "slice" begin
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instance = UnitCommitment.read_benchmark("test/case14")
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modified = UnitCommitment.slice(instance, 1:2)
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# Should update all time-dependent fields
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@test modified.time == 2
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@test length(modified.power_balance_penalty) == 2
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@test length(modified.reserves.spinning) == 2
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for u in modified.units
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@test length(u.max_power) == 2
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@test length(u.min_power) == 2
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@test length(u.must_run) == 2
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@test length(u.min_power_cost) == 2
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@test length(u.provides_spinning_reserves) == 2
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for s in u.cost_segments
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@test length(s.mw) == 2
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@test length(s.cost) == 2
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end
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end
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for b in modified.buses
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@test length(b.load) == 2
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end
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for l in modified.lines
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@test length(l.normal_flow_limit) == 2
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@test length(l.emergency_flow_limit) == 2
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@test length(l.flow_limit_penalty) == 2
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end
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for ps in modified.price_sensitive_loads
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@test length(ps.demand) == 2
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@test length(ps.revenue) == 2
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end
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# Should be able to build model without errors
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optimizer = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0)
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model = UnitCommitment.build_model(
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instance = modified,
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optimizer = optimizer,
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variable_names = true,
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)
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end
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