Title :
Trilevel Optimization in Power Network Defense
Author :
Yao, Yiming ; Edmunds, Thomas ; Papageorgiou, Dimitri ; Alvarez, Rogelio
Author_Institution :
Lawrence Livermore Nat. Lab., Livermore
fDate :
7/1/2007 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/TSMCC.2007.897487