The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Abstract
In recent years, the power systems research community has seen an explosion of novel methods for formulating the AC power flow equations. Consequently, benchmarking studies using the seminal AC Optimal Power Flow (AC-OPF) problem have emerged as the primary method for evaluating these emerging methods. However, it is often difficult to directly compare these studies due to subtle differences in the AC-OPF problem formulation as well as the network, generation, and loading data that are used for evaluation. To help address these challenges, this IEEE PES Task Force report proposes a standardized AC-OPF mathematical formulation and the PGLib-OPF networks for benchmarking AC-OPF algorithms. A motivating study demonstrates some limitations of the established network datasets in the context of benchmarking AC-OPF algorithms and a validation study demonstrates the efficacy of using the PGLib-OPF networks for this purpose. In the interest of scientific discourse and future additions, the PGLib-OPF benchmark library is open-access and all the of network data is provided under a creative commons license.
Cite
@article{arxiv.1908.02788,
title = {The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms},
author = {Sogol Babaeinejadsarookolaee and Adam Birchfield and Richard D. Christie and Carleton Coffrin and Christopher DeMarco and Ruisheng Diao and Michael Ferris and Stephane Fliscounakis and Scott Greene and Renke Huang and Cedric Josz and Roman Korab and Bernard Lesieutre and Jean Maeght and Terrence W. K. Mak and Daniel K. Molzahn and Thomas J. Overbye and Patrick Panciatici and Byungkwon Park and Jonathan Snodgrass and Ahmad Tbaileh and Pascal Van Hentenryck and Ray Zimmerman},
journal= {arXiv preprint arXiv:1908.02788},
year = {2021}
}