Spatiotemporal Variability of Electric System Reliability Metrics

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As urbanization continues to grow, urban density also rises, placing significant stress on critical infrastructure. Cities often face challenges in investing in new infrastructure or upgrading existing ones. One area of infrastructure that has come under strain is the electric grid, leading to prolonged power outages. According to data from the U.S. Energy Information Administration, the average duration of power outages has steadily doubled from 2013 to 2021, primarily due to extreme weather events. The IEEE has developed a series of reliability metrics to assess the reliability of the electric system. However, these metrics are only applied at the utility level, making it challenging to comprehend the variations in these indices at finer spatial resolutions and, consequently, evaluate reliability at the non-utility level. In this study, we leveraged electric outage data collected at 15-minute intervals at the county level to estimate electric system reliability over a six-year period using a novel data analysis approach. Our findings reveal a gradual decline in reliability in the U.S. Southwest compared to national averages. Furthermore, the duration of outages per customer per event has significantly decreased in large portions of California and Florida. These discoveries can be valuable for utility companies as they seek to pinpoint regional anomalies and plan for prioritized remediation efforts.

Original languageEnglish
Title of host publicationUrban-AI 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI
EditorsOlufemi A. Omitaomu, Ali Mostafavi, Yan Liu
PublisherAssociation for Computing Machinery, Inc
Pages81-84
Number of pages4
ISBN (Electronic)9798400703621
DOIs
StatePublished - Nov 13 2023
Event1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, Urban-AI 2023 - Hamburg, Germany
Duration: Nov 13 2023 → …

Publication series

NameUrban-AI 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI

Conference

Conference1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, Urban-AI 2023
Country/TerritoryGermany
CityHamburg
Period11/13/23 → …

Funding

We are grateful to the EAGLE-I platform for providing outage data (https://www.osti.gov/dataexplorer/biblio/dataset/1975202).

Keywords

  • computing
  • power outage
  • reliability metrics
  • spatiotemporal

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