The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to typical dataset creation methods. The OPFLearn dataset creation method uses a relaxed AC OPF formulation to reduce the volume of the unclassified input space throughout the dataset creation process.
The dataset contains load profiles and their respective optimal primal and dual solutions. Load samples are processed using AC OPF formulations from PowerModels.jl. More information on the dataset creation method can be found in our publication, "OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets" and in the package website: https://github.com/NREL/OPFLearn.jl.
Name | Size | Type | Resource Description | History |
---|---|---|---|---|
OPFLearn_Datasets | 654 MB | Archive | Datasets for five networks including 10k samples for each. | |
opflearn_case118_IEEE | 392.5 MB | Data | Samples for "PGLIB-Case 118 IEEE" | |
opflearn_case57_IEEE | 162.5 MB | Data | Samples for "PGLIB-Case 57 IEEE". | |
opflearn_case30_IEEE | 85 MB | Data | Samples for "PGLIB-Case 30 IEEE". | |
opflearn_case14_IEEE | 42.5 MB | Data | Samples for "PGLIB-Case 14 IEEE". | |
opflearn_case5_PJM | 16.7 MB | Data | Samples for "PGLIB-Case 5 PJM". | |
INFEASIBLE_pglib_opf_case5_pjm | 5.5 MB | Data | Infeasible samples for "PGLIB-Case 5 PJM". | |
INFEASIBLE_pglib_opf_case14_ieee | 2.6 MB | Data | Infeasible samples for "PGLIB-Case 14 IEEE" | |
INFEASIBLE_pglib_opf_case30_ieee | 397.1 MB | Data | Infeasible samples for "PGLIB-Case 30 IEEE". | |
INFEASIBLE_pglib_opf_case57_ieee | 386.1 MB | Data | Infeasible samples for "PGLIB-Case 57 IEEE". | |
INFEASIBLE_pglib_opf_case118_ieee | 99.8 MB | Data | Infeasible samples for "PGLIB-Case 118 IEEE". | |
README.txt | 595 bytes | Document | README.txt |
Joswig-Jones, Trager, Ahmed Zamzam, and Kyri Baker. 2021. "OPFLearnData: Dataset for Learning AC Optimal Power Flow." NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: January 21, 2025. DOI: 10.7799/1827404.