• DocumentCode
    1085642
  • Title

    Worst-Case Interdiction Analysis of Large-Scale Electric Power Grids

  • Author

    Salmeron, Javier ; Wood, Kevin ; Baldick, Ross

  • Author_Institution
    Naval Postgrad. Sch., Monterey, CA
  • Volume
    24
  • Issue
    1
  • fYear
    2009
  • Firstpage
    96
  • Lastpage
    104
  • Abstract
    This paper generalizes Benders decomposition to maximize a nonconcave objective function and uses that decomposition to solve an ldquoelectric power grid interdiction problem.rdquo Under one empirically verified assumption, the solution to this bilevel optimization problem identifies a set of components, limited by cardinality or ldquointerdiction resource,rdquo whose destruction maximizes economic losses to customers (and can thereby guide defensive measures). The decomposition subproblem typically incorporates a set of DC optimal power-flow models that cover various states of repair after an attack, along with a load-duration curve. Test problems describe a regional power grid in the United States with approximately 5000 buses, 6000 lines, and 500 generators. Solution time on a 2-GHz personal computer is approximately one hour.
  • Keywords
    optimisation; power grids; power system economics; Benders decomposition; DC optimal power-flow models; bilevel optimization problem; economic losses; electric power grid interdiction problem; large-scale electric power grids; load-duration curve; nonconcave objective function; worst-case interdiction analysis; Large-scale systems; Loss measurement; Mesh generation; Microcomputers; Power generation; Power generation economics; Power grids; Power measurement; Power systems; Testing; Failure analysis; load flow analysis; power system security;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2008.2004825
  • Filename
    4762170