Power grid vulnerability to geographically correlated failures - Analysis and control implications

Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman

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

Abstract

We consider line outages in the transmission network of the power grid, and specifically those caused by natural disasters or large-scale physical attacks. In such networks, an outage of a line may lead to overload on other lines, thereby leading to their outage. Such a cascade may have devastating effects not only on the power grid but also on the interconnected communication networks. We study a model of such failures and show that it differs from other models used to analyze cascades (e.g., epidemic/percolation-based models). Inspired by methods developed for network-survivability analysis, we show how to identify the most vulnerable locations in the network. We also perform extensive numerical experiments with real grid data to estimate the effects of geographically correlated outages and briefly discuss mitigation methods. The developed techniques can indicate potential locations for grid monitoring, and hence, will have impact on the deployment of the smart-grid networking infrastructure.

Original languageAmerican English
Title of host publicationIEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2634-2642
Number of pages9
ISBN (Print)9781479933600
DOIs
StatePublished - 2014
Event33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada
Duration: 27 Apr 20142 May 2014

Publication series

NameProceedings - IEEE INFOCOM

Conference

Conference33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
Country/TerritoryCanada
CityToronto, ON
Period27/04/142/05/14

Keywords

  • Cascading Failures
  • Geographically-Correlated Failures
  • Network Science
  • Power Grid
  • Survivability

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering

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