The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Sogol Babaeinejadsarookolaee, Adam Birchfield, Richard D. Christie,, Carleton Coffrin, Christopher DeMarco, Ruisheng Diao, Michael Ferris,, Stephane Fliscounakis, Scott Greene, Renke Huang, Cedric Josz, Roman Korab,, Bernard Lesieutre, Jean Maeght, Terrence W. K. Mak

TL;DR
This paper introduces the Power Grid Library (PGLib-OPF), a standardized, open-access benchmark library for evaluating AC Optimal Power Flow algorithms, addressing inconsistencies in previous datasets and formulations.
Contribution
It proposes a unified AC-OPF formulation and provides a comprehensive, open-access benchmark library for consistent algorithm evaluation.
Findings
Identifies limitations in existing network datasets for benchmarking.
Demonstrates the effectiveness of PGLib-OPF networks in benchmarking.
Provides an open-access, standardized dataset for future research.
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…
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Taxonomy
TopicsOptimal Power Flow Distribution · Power System Optimization and Stability · Electric Power System Optimization
