You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
41 lines
1.3 KiB
41 lines
1.3 KiB
# 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 = Cbc.Optimizer,
|
|
variable_names = true,
|
|
)
|
|
JuMP.set_silent(model)
|
|
UnitCommitment.optimize!(model)
|
|
|
|
# policy 1: allow offlines; consider startups
|
|
aelmp_1 = UnitCommitment.compute_lmp(
|
|
model,
|
|
AELMP(),
|
|
optimizer = HiGHS.Optimizer,
|
|
)
|
|
@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 = HiGHS.Optimizer,
|
|
)
|
|
@test aelmp_2["s1", "B1", 1] ≈ 274.3 atol = 0.1
|
|
end
|
|
end
|