A Power Outage Data Informed Resilience Assessment Framework

Michael Abdelmalak, Sean Ericson, Jordan Cox, Mohammed Ben-Idris, Eliza Hotchkiss

Research output: Contribution to conferencePaperpeer-review


Catastrophic impacts to power systems due to disruptive events have increased significantly during the last decade. These events highlight the need to develop approaches to assess the resilience of power systems against extreme events. However, the availability of data that capture power system performance during and after disruptive events is scarce. This paper proposes an assessment framework to evaluate the performance aspects of the grid system during extreme outage events using the Environment for Analysis of Geo-Located Energy Information (EAGLE-I) data. EAGLE-I includes information related to the number of impacted customers, duration, and location of power outages in the United States. Statistical analyses were conducted to extract resilient-based outage data and derive probability distribution functions of their impact and recovery characteristics. A list of extreme events is identified based on few predetermined threshold values. Metrics from other power outage assessments were used to measure the characteristics of each event, including impact rate and duration, recovery rate and duration, and impact level. A probability distribution function is obtained for each metric. The obtained results provide a representation of national grid performance during extreme events, which can be applied as a framework to evaluate various resilience enhancement techniques.

Original languageAmerican English
Number of pages6
StatePublished - 2022
Event2022 Resilience Week, RWS 2022 - National Harbor, United States
Duration: 26 Sep 202229 Sep 2022


Conference2022 Resilience Week, RWS 2022
Country/TerritoryUnited States
CityNational Harbor

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

NREL Publication Number

  • NREL/CP-5R00-85272


  • extreme weather event
  • power outage
  • resilience


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