• DocumentCode
    2236493
  • Title

    Vulnerability Analysis of Urban Infrastructures

  • Author

    Mao, Zijun ; Fei, Qi ; Lv, Tao ; Liao, Yuanwen

  • Author_Institution
    Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2009
  • fDate
    24-25 April 2009
  • Firstpage
    395
  • Lastpage
    398
  • Abstract
    Continuous functionality of critical infrastructure systems is essential to support the social and economic organization of productive sectors within a country. Electric power, potable water, telecommunications, natural gas, and transportation are examples of these critical systems, whose nature makes them suitable for network analysis. This study presents the topological characterization of the city electric power network. The properties of complex network, including average path length, clustering coefficient and degree distribution, have been studied and the electric power network of a major city in Central China is demonstrated as an example, the result shows that the electric power network exhibits small-world network property with short average path length and high clustering coefficient. Through the analysis about the practical interpretation of those statistical parameters, we propose some possible reasons for these properties. Finally, the vulnerability of electric power network is simulated and analyzed under selective attacks and random failures.
  • Keywords
    power grids; Central China; Urban power grid network; average path length; electric power network; high clustering coefficient; urban infrastructure; Analytical models; Cities and towns; Complex networks; Failure analysis; Power engineering and energy; Power generation; Power grids; Power systems; Power transmission lines; Substations; complex network; failure in random; power network; selective attack; vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems, 2009. IIS '09. International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-3618-7
  • Type

    conf

  • DOI
    10.1109/IIS.2009.44
  • Filename
    5116381