Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts

Jibonananda Sanyal, Srijib Mukherjee, Melissa Dumas, Supriya Chinthavali, Sangkeun Lee, Jennifer King

Research output: Contribution to conferencePaperpeer-review

Abstract

As the frequency and intensity of severe weather has increased, its effect on the electric grid has manifested in the form of significantly more and larger outages in the United States. This has become especially true for regions that were previously isolated from weather extremes. In this paper, we analyze the weather impacts on the electric power grid across a variety of weather conditions, draw correlations, and provide practical insights into the operational state of these systems. High resolution computational modeling of specific meteorological variables, computational approaches to solving power system models under these conditions, and the types of resiliency needs are highlighted as goal-oriented computing approaches are being built to address grid resiliency needs. An example analysis correlating outages to 1km day-ahead weather from two historical winter storms, calculated on a large cluster using a combination of interpolated and extrapolated inputs from multiple instrumented sites to workflows that produce primary meteorological outputs, is shown as initial proof of concept.

Original languageAmerican English
Number of pages10
DOIs
StatePublished - 26 Jun 2023
Event2023 Platform for Advanced Scientific Computing Conference, PASC 2023 - Davos, Switzerland
Duration: 26 Jun 202328 Jun 2023

Conference

Conference2023 Platform for Advanced Scientific Computing Conference, PASC 2023
Country/TerritorySwitzerland
CityDavos
Period26/06/2328/06/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

NREL Publication Number

  • NREL/CP-5700-85854

Other Report Number

  • Article No. 25

Keywords

  • analysis
  • computational approaches
  • extreme weather
  • power grid
  • resiliency

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