OPFLearnData: Dataset for Learning AC Optimal Power Flow

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.
12 Data Resources
Name Size Type Resource Description History
OPFLearn_Datasets 654.03 MB Archive Datasets for five networks including 10k samples for each.
opflearn_case118_IEEE 392.46 MB Data Samples for "PGLIB-Case 118 IEEE"
opflearn_case57_IEEE 162.49 MB Data Samples for "PGLIB-Case 57 IEEE".
opflearn_case30_IEEE 84.96 MB Data Samples for "PGLIB-Case 30 IEEE".
opflearn_case14_IEEE 42.48 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 5.53 MB Data Infeasible samples for "PGLIB-Case 5 PJM".
INFEASIBLE_pglib_opf_case14_ieee 2.58 MB Data Infeasible samples for "PGLIB-Case 14 IEEE"
INFEASIBLE_pglib_opf_case30_ieee 397.12 MB Data Infeasible samples for "PGLIB-Case 30 IEEE".
INFEASIBLE_pglib_opf_case57_ieee 386.06 MB Data Infeasible samples for "PGLIB-Case 57 IEEE".
INFEASIBLE_pglib_opf_case118_ieee 99.77 MB Data Infeasible samples for "PGLIB-Case 118 IEEE".
README.txt 595 bytes Document README.txt
Author Information
Trager Joswig-Jones, University of Washington
Ahmed Zamzam, Power Systems Engineering, ORCID iD: 0000-0002-1175-2801
Kyri Baker, University of Colorado - Boulder
Cite This Dataset
Joswig-Jones, Trager; Zamzam, Ahmed; Baker, Kyri (2021): OPFLearnData: Dataset for Learning AC Optimal Power Flow. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/177
About This Dataset
177
10.7799/1827404
NREL/CP-5D00-80847
Public
10/27/2021
DOE Project
The Science Undergraduate Laboratory Internships Program (SULI), and the Laboratory Directed Research and Development (LDRD) Program at NREL.
Funding Organization
Department of Energy (DOE)
Sponsoring Organization
USDOE Office of Science (SC), Workforce Development for Teachers and Scientists (WDTS) (SC-27)
Research Areas
Energy Systems Integration
Grid Modernization
License
View License
Digital Object Identifier
10.7799/1827404