• DocumentCode
    43884
  • Title

    Performance of Electric Power Systems Under Physical Malicious Attacks

  • Author

    Bilis, Evangelos I. ; Kroger, Wolfgang ; Cen Nan

  • Author_Institution
    Lab. of Safety Anal., Swiss Fed. Inst. of Technol., Zürich, Switzerland
  • Volume
    7
  • Issue
    4
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    854
  • Lastpage
    865
  • Abstract
    This paper focuses on deliberate acts aimed at the disruption of the electric power infrastructure and their impact on its operational capability. Metrics derived from complex network theory and social network analysis are used to identify the important elements of the electric power transmission grid. Using the outcomes of this screening procedure as a guide, a number of physical attack scenarios have been fabricated and applied. The nature of these scenarios is either deterministic (targeted attacks) or stochastic (sets of elements are randomly attacked). We appraise the effect of these attacks on the serviceability of the electric power system by modeling of potential cascading events through calculation of transmission grid components´ loading, a Monte Carlo simulation of hidden failures, and, finally, operator performance analysis based on a simple human reliability model. The effect of each attack scenario is quantified in terms of the blackout size (electric-power-not-served). To illustrate the application of the developed model to the security assessment of targeted physical attacks against the electric power infrastructure, the Swiss transmission grid is taken as the test system.
  • Keywords
    Monte Carlo methods; power grids; power system security; power transmission reliability; Monte Carlo simulation; Swiss transmission grid; blackout size; complex network theory; electric power infrastructure; electric power system serviceability; electric power systems performance; electric power transmission grid; human reliability model; operational capability; physical attack scenarios; physical malicious attacks; security assessment; social network analysis; targeted physical attacks; test system; transmission grid components; Complex networks; Electric potential; Load modeling; Measurement; Power transmission lines; Substations; Cascading failures; centrality metrics; complex systems; industrial power system vulnerability; physical attacks;
  • fLanguage
    English
  • Journal_Title
    Systems Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1932-8184
  • Type

    jour

  • DOI
    10.1109/JSYST.2012.2223512
  • Filename
    6512053