Data and Multistage Optimization for the New Grid

Research output: NRELPoster


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.
Original languageAmerican English
StatePublished - 2022

Publication series

NamePresented at the 2022 Exascale Computing Project Annual Meeting, 2-6 May 2022

NREL Publication Number

  • NREL/PO-2C00-82655


  • economic dispatch
  • exascale computing
  • high wind penetration
  • optimization under uncertainty
  • stochastic programming


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