Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts
DescriptionAs 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.
TimeTuesday, June 2714:00 - 14:30 CEST
Computer Science, Machine Learning, and Applied Mathematics