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UnitCommitment_Trajectory_Dataset

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mixed-integer-programming
power-systems
optimization
unit-commitment
mps
benchmark
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metadata 
license: bsd-3-clause
task_categories:
  - other
language:
  - en
  - zh
tags:
  - mixed-integer-programming
  - power-systems
  - optimization
  - unit-commitment
  - mps
  - benchmark
size_categories:
  - 1K<n<10K

UnitCommitment Trajectory Dataset

This repository stores generated Unit Commitment trajectory benchmark data.

The project is split into two repositories:

  • Code repository: EridanusQ/UnitCommitment_Trajectory
    • generation scripts
    • modified UnitCommitment.jl source code
    • Matpower instance download and preprocessing workflow
    • documentation for reproducing the MPS generation process
  • Dataset repository: EridanusQ/UnitCommitment_Trajectory_Dataset
    • this Hugging Face Dataset repository
    • generated .mps benchmark files
    • one data case per Git branch
    • each branch stores the case as a compressed .tar.gz archive

Repository Layout

The main branch is the landing page for the dataset repository. Data are stored on separate branches.

Branch Archive MPS files Archive layout
case14 case14.tar.gz 1460 direct variant layout
case30 case30.tar.gz 1460 direct variant layout
case57 case57.tar.gz 1448 direct variant layout
case118 case118.tar.gz 1460 direct variant layout
case3375wp case3375wp.tar.gz 96 horizon layout
case6515rte case6515rte.tar.gz 96 horizon layout
case9241pegase case9241pegase.tar.gz 96 horizon layout

More case branches can be added using the same convention:

branch name:   <case_name>
archive name:  <case_name>.tar.gz
archive root:  <case_name>/

Archive Contents

After extracting a case archive, the archive root is always the case directory:

case_name/
├── hourly_noline/
├── hourly_withline/
├── subhourly_noline/
└── subhourly_withline/

There are two layouts inside the four variant directories.

Direct Variant Layout

Smaller full-year cases use this layout:

case_name/
├── hourly_noline/*.mps
├── hourly_withline/*.mps
├── subhourly_noline/*.mps
└── subhourly_withline/*.mps

Current direct-layout branches:

case14
case30
case57
case118

Horizon Layout

Larger sampled cases use an additional horizon layer:

case_name/
├── hourly_noline/{3_days,7_days,14_days}/*.mps
├── hourly_withline/{3_days,7_days,14_days}/*.mps
├── subhourly_noline/{3_days,7_days,14_days}/*.mps
└── subhourly_withline/{3_days,7_days,14_days}/*.mps

Current horizon-layout branches:

case3375wp
case6515rte
case9241pegase

The four variants represent:

Directory Description
hourly_noline Hourly UC instances without transmission line constraints
hourly_withline Hourly SCUC instances with transmission line constraints
subhourly_noline Sub-hourly UC instances without transmission line constraints
subhourly_withline Sub-hourly SCUC instances with transmission line constraints

File names follow:

<case>_<date>_<resolution>_<network>.mps

For example:

case3375wp_2017-05-01_s_withline.mps
case6515rte_2017-08-01_h_noline.mps
case9241pegase_2017-02-25_h_noline.mps

where h means hourly and s means sub-hourly.

Download

Download With Hugging Face CLI 

huggingface-cli download EridanusQ/UnitCommitment_Trajectory_Dataset `
  case3375wp.tar.gz `
  --repo-type dataset `
  --revision case3375wp `
  --local-dir data/case3375wp

Replace case3375wp with the target branch/case name.

Download With Git LFS 

git lfs install
git clone -b case3375wp https://huggingface.co/datasets/EridanusQ/UnitCommitment_Trajectory_Dataset

Then extract the archive:

tar -xzf case3375wp.tar.gz

Dataset Generation

The generated data come from Matpower Unit Commitment instances and are exported as standard .mps files for mixed-integer programming solver benchmarking.

The generation workflow is maintained in the separate code repository, not in this dataset repository. Please use the code repository for:

  • environment setup
  • downloading source Matpower instances
  • modifying or inspecting UnitCommitment.jl model code
  • regenerating MPS files
  • reproducing the trajectory constraints and preprocessing logic

This dataset repository is intended to be lightweight to browse: each branch contains only the compressed generated output for one case.

Storage Policy

Do not commit expanded .mps directories to this repository. For each case:

  1. Generate the case directory locally.
  2. Compress it as <case_name>.tar.gz.
  3. Commit the archive to the matching branch.
  4. Track the archive with Git LFS.

This keeps each branch easy to download and avoids thousands of large text files in the Git tree.

Citation

The original UnitCommitment.jl project is available at:

10.5281/zenodo.4269874