@misc{304a18c312074169b35e6efa5f9f1211,
title = "Exploiting Power Flow Manifold to Solve AC Optimal Power Flow",
abstract = "AC optimal power flow has proven difficult to solve with interior point methods on GPUs. This is largely due to challenging linear algebra problems that current state of the art massively parallel linear solvers struggle with. However, the advent of Riemannian optimization techniques and the fact that the power flow equations form a smooth manifold present an alternative approach. In this talk, we present the basics of Riemannian optimization techniques in which optimization is done directly on a manifold. Then we present computational results showing that Riemannian techniques are capable of producing solutions of comparable quality as interior point methods.",
keywords = "AC optimal power flow, manifold optimization, nonlinear optimization, optimal power flow, Riemannian optimization",
author = "Jonathan Maack and Devon Sigler and Ariel Goodwin",
year = "2024",
language = "American English",
series = "Presented at the 2024 INFORMS Optimization Society (IOS) Conference, 22-24 March 2024, Houston, Texas",
type = "Other",
}