• DocumentCode
    1015181
  • Title

    Trilevel Optimization in Power Network Defense

  • Author

    Yao, Yiming ; Edmunds, Thomas ; Papageorgiou, Dimitri ; Alvarez, Rogelio

  • Author_Institution
    Lawrence Livermore Nat. Lab., Livermore
  • Volume
    37
  • Issue
    4
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    712
  • Lastpage
    718
  • Abstract
    We present a trilevel optimization model of resource allocation in electric power network defense. This model identifies the most critical network components to defend against possible terrorist attacks. The goal of defense is to minimize the economic cost that the attacks may cause, subject to resource constraints. We describe a decomposition approach for finding an optimal solution to the trilevel model, which is based on iteratively solving smaller nested bilevel problems. Our testing results demonstrate the advantages of trilevel optimization over bilevel optimization in network defense.
  • Keywords
    optimisation; power system economics; power system security; resource allocation; bilevel optimization; decomposition approach; economic cost; power network defense; resource allocation; terrorist attacks; trilevel optimization; Asset management; Costs; Laboratories; Natural gas; Power generation economics; Resource management; Surveillance; Switches; Terrorism; Testing; Homeland security; interdiction; multilevel optimization; network defense;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2007.897487
  • Filename
    4252262