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

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