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

Publication Type
Conference Paper
Book Title
PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference
Publication Date
Page Numbers
1 to 10
Publisher Location
New York, United States of America
Conference Name
PASC '23: Platform for Advanced Scientific Computing Conference
Conference Location
Davos, Switzerland
Conference Sponsor
Swiss National Supercomputing Centre (CSCS – a unit of ETH Zurich) and the Association for Computing Machinery (ACM)
Conference Date

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.