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Using Utility Outage Statistics to Quantify Improvements in Bulk Power System Resilience

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CRISP is a new high-level statistical approach driven by utility data to quantify resilience in electric power transmission networks. We extend CRISP to model energy storage, photovoltaics, and generator outages, to account for the spatial spread of cascading outages, and to optimize the restoration process. Illustrative results show how CRISP can measure the resilience impact of combinations of energy storage and photovoltaics on a power system.

Author(s):

Molly Rose Kelly-Gorham    
University of Vermont
United States

Paul D.H. Hines    
University of Vermont
United States

Kai Zhou    
Iowa State University
United States

Ian Dobson    
Iowa State University
United States

 

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