• DocumentCode
    170868
  • Title

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

  • Author

    Bernstein, Andrey ; Bienstock, Daniel ; Hay, David ; Uzunoglu, M. ; Zussman, Gil

  • Author_Institution
    Sch. of Comput. & Commun. Sci., EPFL, Lausanne, Switzerland
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    2634
  • Lastpage
    2642
  • 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.
  • Keywords
    failure analysis; power transmission lines; power transmission reliability; smart power grids; geographically correlated failures; geographically correlated outage effects; grid monitoring; interconnected communication networks; large-scale physical attacks; line outages; mitigation methods; natural disasters; network-survivability analysis; power grid vulnerability; smart-grid networking infrastructure; transmission network; Analytical models; Computational modeling; Computers; Numerical models; Power grids; Power system faults; Power system protection; Cascading Failures; Geographically-Correlated Failures; Network Science; Power Grid; Survivability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2014 Proceedings IEEE
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2014.6848211
  • Filename
    6848211