Datasets:
File size: 5,325 Bytes
e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 e9336c7 35f2452 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | using JuMP
using UnitCommitment
const DEFAULT_INPUT_ROOT = "instances/matpower"
const DEFAULT_OUTPUT_ROOT = "../UnitCommitment_Trajectory_Dataset"
const VARIANTS = ("hourly_noline", "hourly_withline", "subhourly_noline", "subhourly_withline")
function _build_noline_formulation()
return UnitCommitment.Formulation(
transmission = UnitCommitment.ShiftFactorsFormulation(
precomputed_isf = zeros(0, 0),
precomputed_lodf = zeros(0, 0),
),
)
end
function _write_mps(model::JuMP.Model, path::String)
mkpath(dirname(path))
JuMP.write_to_file(model, path)
return nothing
end
function _list_json_gz(case_dir::String)
files = filter(f -> endswith(f, ".json.gz"), readdir(case_dir))
sort!(files)
return files
end
function discover_matpower_cases(input_root::String = DEFAULT_INPUT_ROOT)
isdir(input_root) || error("Input directory does not exist: $input_root")
case_dirs = filter(d -> isdir(joinpath(input_root, d)), readdir(input_root))
sort!(case_dirs)
return [
(case_name, joinpath(input_root, case_name))
for case_name in case_dirs
if !isempty(_list_json_gz(joinpath(input_root, case_name)))
]
end
function _parse_case_filter()
raw = strip(get(ENV, "UC_CASES", ""))
isempty(raw) && return nothing
return Set(strip.(split(raw, ",")))
end
function _is_truthy_env(name::String)
value = lowercase(strip(get(ENV, name, "")))
return value in ("1", "true", "yes", "y")
end
function _selected_cases(input_root::String)
cases = discover_matpower_cases(input_root)
selected = _parse_case_filter()
selected === nothing && return cases
return filter(case -> case[1] in selected, cases)
end
function _generate_one_instance!(
case_name::AbstractString,
date_tag::AbstractString,
src_path::AbstractString,
output_root::AbstractString,
noline_formulation,
)
inst_hourly = UnitCommitment.read(src_path)
inst_hourly_noline = deepcopy(inst_hourly)
empty!(inst_hourly_noline.scenarios[1].lines)
model_hourly_noline = UnitCommitment.build_model(
instance = inst_hourly_noline,
formulation = noline_formulation,
variable_names = true,
)
_write_mps(
model_hourly_noline,
joinpath(output_root, case_name, "hourly_noline", "$(case_name)_$(date_tag)_h_noline.mps"),
)
model_hourly_withline = UnitCommitment.build_model(
instance = inst_hourly,
variable_names = true,
)
_write_mps(
model_hourly_withline,
joinpath(output_root, case_name, "hourly_withline", "$(case_name)_$(date_tag)_h_withline.mps"),
)
inst_sub = UnitCommitment.convert_to_subhourly(inst_hourly, inst_hourly)
inst_sub_noline = deepcopy(inst_sub)
empty!(inst_sub_noline.scenarios[1].lines)
model_sub_noline = UnitCommitment.build_model(
instance = inst_sub_noline,
formulation = noline_formulation,
variable_names = true,
)
_write_mps(
model_sub_noline,
joinpath(output_root, case_name, "subhourly_noline", "$(case_name)_$(date_tag)_s_noline.mps"),
)
model_sub_withline = UnitCommitment.build_model(
instance = inst_sub,
variable_names = true,
)
_write_mps(
model_sub_withline,
joinpath(output_root, case_name, "subhourly_withline", "$(case_name)_$(date_tag)_s_withline.mps"),
)
return nothing
end
function generate_dataset(;
input_root::String = get(ENV, "UC_INPUT_ROOT", DEFAULT_INPUT_ROOT),
output_root::String = get(ENV, "UC_OUTPUT_ROOT", DEFAULT_OUTPUT_ROOT),
)
cases = _selected_cases(input_root)
isempty(cases) && error("No cases selected under $input_root. Check UC_CASES or the input directory.")
mkpath(output_root)
noline_formulation = _build_noline_formulation()
total_instances = sum(length(_list_json_gz(case_dir)) for (_, case_dir) in cases)
println("Input root: $input_root")
println("Output root: $output_root")
println("Cases: $(length(cases))")
println("Instances: $total_instances")
println("Variants: $(length(VARIANTS))")
println("MPS files: $(total_instances * length(VARIANTS))")
if _is_truthy_env("UC_DRY_RUN")
println("\nDry run only. Set UC_DRY_RUN=0 or remove it to generate MPS files.")
for (case_name, case_dir) in cases
println(" $case_name: $(length(_list_json_gz(case_dir))) instances")
end
return nothing
end
for (case_index, (case_name, case_dir)) in enumerate(cases)
files = _list_json_gz(case_dir)
println("\n[$case_index/$(length(cases))] $case_name ($(length(files)) instances)")
for variant in VARIANTS
mkpath(joinpath(output_root, case_name, variant))
end
for (i, file_name) in enumerate(files)
date_tag = split(file_name, ".")[1]
src_path = joinpath(case_dir, file_name)
_generate_one_instance!(case_name, date_tag, src_path, output_root, noline_formulation)
GC.gc()
println(" [$case_name] $i/$(length(files)) $date_tag")
end
end
println("\nDone. output_root=$output_root")
return nothing
end
if abspath(PROGRAM_FILE) == @__FILE__
generate_dataset()
end
|