ANL-CEEESA/UnitCommitment.jl
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Update docs; prepare for v0.4 release

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This commit is contained in:
Alinson S. Xavier
2024-05-21 10:33:51 -05:00
parent c638aaf4ec
commit afcf8cfabb
16 changed files with 330 additions and 224 deletions
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1
test/src/UnitCommitmentT.jl
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@@ -61,6 +61,7 @@ end
function format()
JuliaFormatter.format(basedir, verbose = true)
JuliaFormatter.format("$basedir/../../src", verbose = true)
JuliaFormatter.format("$basedir/../../docs/src", verbose = true)
return
end

66
test/src/market/market_test.jl
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@@ -18,7 +18,7 @@ function simple_market_test()
solution = UnitCommitment.solve_market(
da_path,
rt_paths,
MarketSettings(), # keep everything default
settings = MarketSettings(), # keep everything default
optimizer = optimizer_with_attributes(
Cbc.Optimizer,
"logLevel" => 0,
@@ -30,27 +30,27 @@ function simple_market_test()
)
# the commitment status must agree with DA market
da_solution = solution["Day-ahead market"]
da_solution = solution["DA"]
@test da_solution["Is on"]["GenY"] == [0.0, 1.0]
@test da_solution["Locational marginal price"][("s1", "B1", 1)] == 50.0
@test da_solution["Locational marginal price"][("s1", "B1", 2)] == 56.0
@test da_solution["LMP (\$/MW)"][("s1", "B1", 1)] == 50.0
@test da_solution["LMP (\$/MW)"][("s1", "B1", 2)] == 56.0
rt_solution = solution["Real-time markets"]
rt_solution = solution["RT"]
@test length(rt_solution) == 4
@test rt_solution[rt_paths[1]]["Is on"]["GenY"] == [0.0, 0.0]
@test rt_solution[rt_paths[2]]["Is on"]["GenY"] == [0.0, 1.0]
@test rt_solution[rt_paths[3]]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[rt_paths[4]]["Is on"]["GenY"] == [1.0]
@test length(rt_solution[rt_paths[1]]["Locational marginal price"]) == 2
@test length(rt_solution[rt_paths[2]]["Locational marginal price"]) == 2
@test length(rt_solution[rt_paths[3]]["Locational marginal price"]) == 2
@test length(rt_solution[rt_paths[4]]["Locational marginal price"]) == 1
@test rt_solution[1]["Is on"]["GenY"] == [0.0, 0.0]
@test rt_solution[2]["Is on"]["GenY"] == [0.0, 1.0]
@test rt_solution[3]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[4]["Is on"]["GenY"] == [1.0]
@test length(rt_solution[1]["LMP (\$/MW)"]) == 2
@test length(rt_solution[2]["LMP (\$/MW)"]) == 2
@test length(rt_solution[3]["LMP (\$/MW)"]) == 2
@test length(rt_solution[4]["LMP (\$/MW)"]) == 1
# solve market with no lmp method
solution_no_lmp = UnitCommitment.solve_market(
da_path,
rt_paths,
MarketSettings(lmp_method = nothing), # no lmp
settings = MarketSettings(lmp_method = nothing), # no lmp
optimizer = optimizer_with_attributes(
Cbc.Optimizer,
"logLevel" => 0,
@@ -58,10 +58,10 @@ function simple_market_test()
)
# the commitment status must agree with DA market
da_solution = solution_no_lmp["Day-ahead market"]
@test haskey(da_solution, "Locational marginal price") == false
rt_solution = solution_no_lmp["Real-time markets"]
@test haskey(rt_solution, "Locational marginal price") == false
da_solution = solution_no_lmp["DA"]
@test haskey(da_solution, "LMP (\$/MW)") == false
rt_solution = solution_no_lmp["RT"][1]
@test haskey(rt_solution, "LMP (\$/MW)") == false
end
end
@@ -113,7 +113,7 @@ function stochastic_market_test()
solution = UnitCommitment.solve_market(
da_path,
rt_paths,
MarketSettings(), # keep everything default
settings = MarketSettings(), # keep everything default
optimizer = optimizer_with_attributes(
Cbc.Optimizer,
"logLevel" => 0,
@@ -127,25 +127,19 @@ function stochastic_market_test()
after_optimize_rt = after_optimize_rt,
)
# the commitment status must agree with DA market
da_solution_sp = solution["Day-ahead market"]["market_da_simple"]
da_solution_sc = solution["Day-ahead market"]["market_da_scenario"]
da_solution_sp = solution["DA"]["market_da_simple"]
da_solution_sc = solution["DA"]["market_da_scenario"]
@test da_solution_sc["Is on"]["GenY"] == [1.0, 1.0]
@test da_solution_sp["Locational marginal price"][(
"market_da_simple",
"B1",
1,
)] == 25.0
@test da_solution_sc["Locational marginal price"][(
"market_da_scenario",
"B1",
2,
)] == 0.0
@test da_solution_sp["LMP (\$/MW)"][("market_da_simple", "B1", 1)] ==
25.0
@test da_solution_sc["LMP (\$/MW)"][("market_da_scenario", "B1", 2)] ==
0.0
rt_solution = solution["Real-time markets"]
@test rt_solution[rt_paths[1]]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[rt_paths[2]]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[rt_paths[3]]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[rt_paths[4]]["Is on"]["GenY"] == [1.0]
rt_solution = solution["RT"]
@test rt_solution[1]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[2]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[3]["Is on"]["GenY"] == [1.0, 1.0]
@test rt_solution[4]["Is on"]["GenY"] == [1.0]
@test length(lmps_rt) == 4
end
end

2
test/src/solution/methods/ProgressiveHedging/usage_test.jl
View File

@@ -9,7 +9,7 @@ function solution_methods_ProgressiveHedging_usage_test()
@testset "ProgressiveHedging" begin
mpiexec() do exe
return run(
`$exe -n 2 $(Base.julia_cmd()) --project=test $basedir/ph.jl`,
`$exe -n 2 $(Base.julia_cmd()) --project=. $basedir/ph.jl`,
)
end
end