• DocumentCode
    3309249
  • Title

    Analyzing smart power grid and SCADA network robustness using the node degree distribution and algebraic connectivity under vulnerability and WMD attacks

  • Author

    Chopade, Pravin ; Bikdash, Marwan

  • Author_Institution
    Comput. Sci. & Eng., North Carolina A&T State Univ., Greensboro, NC, USA
  • fYear
    2012
  • fDate
    13-15 Nov. 2012
  • Firstpage
    365
  • Lastpage
    372
  • Abstract
    We discuss the robustness of large networks such as Smart Power Grid and Supervisory Control and Data Acquisition (SCADA) network. We put forward mathematical models of robustness that reflect power network dynamics and the Laplacian of the network. We used nodal degree distributions, algebraic connectivity, and Fiedler eigenvalue parameters for analyzing the robustness of real world power grid network. We also discussed the performance of Western Electric Coordinating Council (WECC) US grid under Weapons of mass destruction (WMD) attacks.
  • Keywords
    SCADA systems; mathematical analysis; smart power grids; Fiedler eigenvalue parameters; SCADA; US grid; algebraic connectivity; mathematical models; nodal degree distributions; node degree distribution; power network dynamics; real world power grid network; smart power grid; supervisory control and data acquisition network; weapons of mass destruction attacks; western electric coordinating council; Eigenvalues and eigenfunctions; Laplace equations; Network topology; Probability density function; Robustness; Smart grids; Terrorism; Fiedler eigenvalue; Laplacian; Robustness; SCADA; Smart Grid; WMD attack; algebraic connectivity; degree distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Homeland Security (HST), 2012 IEEE Conference on Technologies for
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4673-2708-4
  • Type

    conf

  • DOI
    10.1109/THS.2012.6459876
  • Filename
    6459876