Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes

Avishek Bose, Sangkeun Lee, Narayan Bhusal, Supriya Chinthavali

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

Abstract

Power outages caused by extreme weather events, such as hurricanes, can significantly disrupt essential services and delay recovery efforts, underscoring the importance of enhancing our infrastructure's resilience. This study investigates the spread of power outages during hurricanes by analyzing the correlation between the network of critical infrastructure and outage propagation. We leveraged datasets from Hurricanemapping.com, the North American Energy Resilience Model Interdependency Analysis (NAERM-IA), and historical power outage data from the Oak Ridge National Laboratory (ORNL)'s EAGLE-I system. Our analysis reveals a consistent positive correlation between the extent of critical infrastructure components accessible within a certain number of steps (k-hop distance) from initial impact areas and the occurrence of power outages in broader regions. This insight suggests that understanding the interconnectedness among critical infrastructure elements is key to identifying areas indirectly affected by extreme weather events.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-83
Number of pages2
ISBN (Electronic)9798350351187
DOIs
StatePublished - 2024
Event25th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2024 - San Jose, United States
Duration: Aug 7 2024Aug 9 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2024

Conference

Conference25th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2024
Country/TerritoryUnited States
CitySan Jose
Period08/7/2408/9/24

Keywords

  • Correlation
  • Critical infrastructure
  • EAGLE-I
  • Interdependency analysis
  • Power out-age

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