OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

TL;DR

This paper introduces OPFData, the largest open dataset of solved AC optimal power flow problems with topological perturbations, enabling advanced data-driven modeling for power grid optimization.

Contribution

It provides the first large-scale, publicly available dataset with topological variations for AC-OPF, facilitating research in scalable, realistic power grid solutions.

Findings

Largest dataset of solved AC-OPF problems to date

Includes topological perturbations for realistic modeling

Enables training of high-capacity data-driven models

Abstract

Solving the AC optimal power flow problem (AC-OPF) is critical to the efficient and safe planning and operation of power grids. Small efficiency improvements in this domain have the potential to lead to billions of dollars of cost savings, and significant reductions in emissions from fossil fuel generators. Recent work on data-driven solution methods for AC-OPF shows the potential for large speed improvements compared to traditional solvers; however, no large-scale open datasets for this problem exist. We present the largest readily-available collection of solved AC-OPF problems to date. This collection is orders of magnitude larger than existing readily-available datasets, allowing training of high-capacity data-driven models. Uniquely, it includes topological perturbations - a critical requirement for usage in realistic power grid operations. We hope this resource will spur the community to scale research to larger grid sizes with variable topology.