@misc{ea0d5b3c1ab9473283bb1a5c5d871e37,
title = "Data and Multistage Optimization for the New Grid",
abstract = "Three essential capabilities for using exascale computing resources on next generation power grid applications are: generating large renewable energy datasets, modeling damage and operations during and after extreme events, and employing multi-stage optimization for infrastructure planning. Powerscenarios, developed as part of the ExaSGD project, addresses these capabilities by enabling users to build synthetic wind farms for large test systems using numerical weather prediction-based data sources. We share examples of using Powerscenarios to build out wind farms on the ACTIVSg2000 test system, to enable simulated operations and emergency asset allocation during a hurricane strike, and to compute multi-stage infrastructure buildouts.",
keywords = "economic dispatch, exascale computing, high wind penetration, optimization under uncertainty, stochastic programming",
author = "Ignas Satkauskas and Jon Maack and Devon Sigler and Kinshuk Panda and Sujal Bhavsar and Matthew Reynolds and Wesley Jones",
year = "2022",
language = "American English",
series = "Presented at the 2022 Exascale Computing Project Annual Meeting, 2-6 May 2022",
type = "Other",
}
