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

•A new high-level statistical approach to quantify all phases of resilience•Driven by utility data that describes the outcomes of resilience processes•Samples from the statistical modeling to get resilience metrics and risk•Assesses resilience impacts of variable PV, storage, and load•Distributed PV and storagen enhance resilience; PV impact varies with weather 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.