Datasets:
File size: 4,076 Bytes
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# 脚本名称: generate_dataset.jl (全量增强版)
# 功能: 自动化生成包含 case14, case30, case2383wp 的全量 MIP 优化模型
# 说明: 生成的 .mps 文件包含大量二进制变量，专用于混合整数规划 (MIP) 研究
# 路径: 输出结果将导出至上级目录的 UnitCommitment_Trajectory_Dataset 文件夹
# =========================================================================
using UnitCommitment
using JuMP
using CodecZlib
# 配置路径映射
config = Dict(
"case14" => "instances/matpower/case14",
"case30" => "instances/matpower/case30",
"case2383wp" => "testdata/case2383wp"
)
output_root = "../UnitCommitment_Trajectory_Dataset"
variants = ["hourly_noline", "hourly_withline", "subhourly_noline", "subhourly_withline"]
function run_full_generation()
println("🚀 开始全量数据集生成任务 (包含大型算例)...")
# 确保根目录存在
mkpath(output_root)
for (case_name, case_path) in config
println("\n>>> 正在准备算例: $case_name")
# 创建目录
for v in variants
mkpath(joinpath(output_root, case_name, v))
end
# 获取目录下所有的 json.gz 文件
all_files = filter(f -> endswith(f, ".json.gz"), readdir(case_path))
for (i, file_name) in enumerate(all_files)
date_tag = split(file_name, ".")[1]
src_path = joinpath(case_path, file_name)
println(" [$case_name] 处理进度: $i/$(length(all_files)) ($date_tag)")
# --- 建模逻辑 ---
# 1. Hourly No-Line
instance_v1 = UnitCommitment.read(src_path)
empty!(instance_v1.scenarios[1].lines)
model_v1 = UnitCommitment.build_model(
instance=instance_v1,
formulation=UnitCommitment.Formulation(
transmission=UnitCommitment.ShiftFactorsFormulation(precomputed_isf=zeros(0,0), precomputed_lodf=zeros(0,0))
),
variable_names=true
)
JuMP.write_to_file(model_v1, joinpath(output_root, case_name, "hourly_noline", "$(case_name)_$(date_tag)_h_noline.mps"))
# 2. Hourly With-Line
instance_v2 = UnitCommitment.read(src_path)
model_v2 = UnitCommitment.build_model(instance=instance_v2, variable_names=true)
JuMP.write_to_file(model_v2, joinpath(output_root, case_name, "hourly_withline", "$(case_name)_$(date_tag)_h_withline.mps"))
# 3. Subhourly No-Line
instance_v3_base = UnitCommitment.read(src_path)
instance_v3 = UnitCommitment.convert_to_subhourly(instance_v3_base, instance_v3_base)
empty!(instance_v3.scenarios[1].lines)
model_v3 = UnitCommitment.build_model(
instance=instance_v3,
formulation=UnitCommitment.Formulation(
transmission=UnitCommitment.ShiftFactorsFormulation(precomputed_isf=zeros(0,0), precomputed_lodf=zeros(0,0))
),
variable_names=true
)
JuMP.write_to_file(model_v3, joinpath(output_root, case_name, "subhourly_noline", "$(case_name)_$(date_tag)_s_noline.mps"))
# 4. Subhourly With-Line
instance_v4_base = UnitCommitment.read(src_path)
instance_v4 = UnitCommitment.convert_to_subhourly(instance_v4_base, instance_v4_base)
model_v4 = UnitCommitment.build_model(instance=instance_v4, variable_names=true)
JuMP.write_to_file(model_v4, joinpath(output_root, case_name, "subhourly_withline", "$(case_name)_$(date_tag)_s_withline.mps"))
# 及时释放内存 (Julia 的 GC 有时会有延迟)
model_v1 = model_v2 = model_v3 = model_v4 = nothing
end
end
println("\n✅ 所有算例生成完毕！生成的 MPS 文件存放在: $output_root")
end
run_full_generation()
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