{"url":"/dataset/pglib-opf","name":"pglib-opf","full_name":"Power Grid Lib - Optimal Power Flow","description_markdown":"This benchmark library is curated and maintained by the [IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms](https://power-grid-lib.github.io/) and is designed to evaluate a well established version of the the AC Optimal Power Flow problem.  This [introductory video](https://youtu.be/fC3hzddCJ2c) and [detailed report](https://arxiv.org/abs/1908.02788) present the motivations and goals of this benchmark library.  In particular, these cases are designed for benchmarking algorithms that solve the following Non-Convex Nonlinear Program,\r\n\r\n \r\n![The Mathematical Model of the Optimal Power Flow Problem](https://github.com/power-grid-lib/pglib-opf/raw/master/MODEL.png?raw=true)\r\n \r\n\r\nA detailed description of this mathematical model is available [here](https://arxiv.org/abs/1502.07847).  All of the cases files are curated in the [MATPOWER](https://matpower.org) data format.  Open-source reference implementations are available in [MATPOWER](https://matpower.org) and [PowerModels.jl](https://github.com/lanl-ansi/PowerModels.jl) and baseline results are reported in [BASELINE.md](BASELINE.md).","description_withheld":null,"homepage":"https://power-grid-lib.github.io/","introduced_date":"2019-08-07","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY 4.0","url":"https://github.com/power-grid-lib/pglib-opf/blob/master/LICENSE"},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["pglib-opf"],"data_loaders":[{"repo":"https://github.com/power-grid-lib/pglib-opf","url":"https://github.com/power-grid-lib/pglib-opf","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}