Exascale Grid Optimization (ExaGO) toolkit: An open-source high-performance package for solving large-scale grid optimization problems

This paper introduces the Exascale Grid Optimization (ExaGO) toolkit, a library for solving large-scale alternating current optimal power flow (ACOPF) problems including stochastic effects, security constraints and multi-period constraints. ExaGO can run on parallel distributed memory platforms, inc...

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Bibliographic Details
Main Authors:	Abhyankar, Shrirang, Peles, Slaven, Becejac, Tamara, Holzer, Jesse, Mancinelli, Asher, Rutherford, Cameron
Format:	Journal Article
Language:	English
Published:	20-03-2022
Subjects:	Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Systems and Control Mathematics - Optimization and Control
Online Access:	Get full text
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Summary:	This paper introduces the Exascale Grid Optimization (ExaGO) toolkit, a library for solving large-scale alternating current optimal power flow (ACOPF) problems including stochastic effects, security constraints and multi-period constraints. ExaGO can run on parallel distributed memory platforms, including massively parallel hardware accelerators such as graphical processing units (GPUs). We present the details of the ExaGO library including its architecture, formulations, modeling details, and its performance for several optimization applications.
Bibliography:	PNNL-SA-167116
DOI:	10.48550/arxiv.2203.10587