ANL-CEEESA/UnitCommitment.jl
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time decomp bug fix

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This commit is contained in:
Jun He
2023-05-27 14:49:43 -04:00
parent ec2d56602b
commit 7201acde78
6 changed files with 93 additions and 153 deletions
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1
test/instance/read_test.jl
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@@ -20,6 +20,7 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
@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"

198
test/solution/methods/TimeDecomposition/initial_status_test.jl
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@@ -5,134 +5,66 @@
using UnitCommitment, DataStructures
@testset "determine_initial_status" begin
t_increment = 24
t_model = 36
hot_start = 100
cold_start = -100
# all on throughout
stat_seq = ones(t_model)
stat_seq = ones(36)
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == 124
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,
t_increment,
)
@test new_stat == 24
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 36
# off in the last 12 periods
stat_seq = ones(t_model)
stat_seq = ones(36)
stat_seq[25:end] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == 124
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,
t_increment,
)
@test new_stat == 24
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == -12
# off in one of the first 24 periods
stat_seq = ones(t_model)
# off in one period
stat_seq = ones(36)
stat_seq[10] = 0
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == 14
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,
t_increment,
)
@test new_stat == 14
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(t_model)
stat_seq = ones(36)
stat_seq[[10, 11, 20]] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == 4
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,
t_increment,
)
@test new_stat == 4
# off in several of the first 24 periods
stat_seq = ones(t_model)
stat_seq[20:24] .= 0
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == -5
# cold start
new_stat = UnitCommitment._determine_initial_status(
cold_start,
stat_seq,
t_increment,
)
@test new_stat == -5
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 16
# all off throughout
stat_seq = zeros(t_model)
stat_seq = zeros(36)
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == -24
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,
t_increment,
)
@test new_stat == -124
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == -136
# on in the last 12 periods
stat_seq = zeros(t_model)
stat_seq = zeros(36)
stat_seq[25:end] .= 1
# hot start
new_stat = UnitCommitment._determine_initial_status(
hot_start,
stat_seq,
t_increment,
)
@test new_stat == -24
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,
t_increment,
)
@test new_stat == -124
new_stat = UnitCommitment._determine_initial_status(cold_start, stat_seq)
@test new_stat == 12
end
@testset "set_initial_status" begin
@@ -140,28 +72,28 @@ end
instance = UnitCommitment.read("$FIXTURES/case14.json.gz")
psuedo_solution = OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [110.0, 112.0, 114.0, 116.0],
"g2" => [100.0, 102.0, 0.0, 0.0],
"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" => [33.0, 34.0, 66.0, 99.0],
"g5" => [33.0, 34.0, 66.0, 99.0],
"g6" => [100.0, 100.0, 100.0, 100.0],
"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" => [1.0, 1.0, 1.0, 1.0],
"g2" => [1.0, 1.0, 0.0, 0.0],
"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" => [1.0, 1.0, 1.0, 1.0],
"g5" => [1.0, 1.0, 1.0, 1.0],
"g6" => [1.0, 1.0, 1.0, 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 = instance.scenarios[1].thermal_units
@test thermal_units[1].initial_power == 114.0
@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 == -1.0
@test thermal_units[2].initial_status == -2.0
@test thermal_units[3].initial_power == 0.0
@test thermal_units[3].initial_status == -9.0
@@ -173,47 +105,47 @@ end
psuedo_solution = OrderedDict(
"case14" => OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [110.0, 112.0, 114.0, 116.0],
"g2" => [100.0, 102.0, 0.0, 0.0],
"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" => [33.0, 34.0, 66.0, 99.0],
"g5" => [33.0, 34.0, 66.0, 99.0],
"g6" => [100.0, 100.0, 100.0, 100.0],
"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" => [1.0, 1.0, 1.0, 1.0],
"g2" => [1.0, 1.0, 0.0, 0.0],
"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" => [1.0, 1.0, 1.0, 1.0],
"g5" => [1.0, 1.0, 1.0, 1.0],
"g6" => [1.0, 1.0, 1.0, 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],
),
),
"case14-profiled" => OrderedDict(
"Thermal production (MW)" => OrderedDict(
"g1" => [112.0, 113.0, 116.0, 115.0],
"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" => [33.0, 34.0, 66.0, 99.0],
"g5" => [33.0, 34.0, 66.0, 99.0],
"g6" => [100.0, 100.0, 100.0, 100.0],
"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" => [1.0, 1.0, 1.0, 1.0],
"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, 0.0],
"g4" => [1.0, 1.0, 1.0, 1.0],
"g5" => [1.0, 1.0, 1.0, 1.0],
"g6" => [1.0, 1.0, 1.0, 1.0],
"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 == 116.0
@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 == 0.0
@test thermal_units_sc2[3].initial_status == -9.0
@test thermal_units_sc2[3].initial_power == 20.0
@test thermal_units_sc2[3].initial_status == 1.0
end