Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

A Power Outage Data Informed Resilience Assessment Framework

Conference ·
; ; ; ;
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.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE National Renewable Energy Laboratory (NREL)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1924016
Report Number(s):
NREL/CP-5R00-85272; MainId:86045; UUID:32f5854f-0595-492b-9bb8-64a999ad98cc; MainAdminID:68695
Country of Publication:
United States
Language:
English

References (11)

Comparison and Validation of Statistical Methods for Predicting Power Outage Durations in the Event of Hurricanes: Comparison and Validation of Statistical Methods journal April 2011
Data on major power outage events in the continental U.S. journal August 2018
Review of Empirical Quantitative Data Use in Lifeline Infrastructure Restoration Modeling journal November 2021
Resilience Metrics for the Electric Power System: A Performance-Based Approach. report February 2017
Toward Developing Metrics for Power System Resilience conference March 2020
Estimating Power System Interruption Costs: A Guidebook for Electric Utilities report May 2018
Stochastic Resilient Post-Hurricane Power System Recovery Based on Mobile Emergency Resources and Reconfigurable Networked Microgrids journal January 2018
Quantifying Resilience Value of Solar plus Storage in City of Reno conference October 2021
Power System Resilience: Current Practices, Challenges, and Future Directions journal January 2020
Proactive Management of Microgrids for Resiliency Enhancement: An Adaptive Robust Approach journal January 2019
State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies journal April 2019

Similar Records

Decoding Resilience by Modeling Outage and Restoration Processes in Distribution Grids: A Pittsburgh Case Study
Conference · Sun Feb 09 19:00:00 EST 2025 · 2025 IEEE Texas Power and Energy Conference (TPEC) · OSTI ID:2568237
Predicting Power Outage During Extreme Weather with EAGLE-I and NWS Datasets
Conference · Tue Aug 01 00:00:00 EDT 2023 · OSTI ID:1997746

Related Subjects

EAGLE-I
POWER TRANSMISSION AND DISTRIBUTION
extreme weather event
power outage
resilience