DocumentCode :
1330157
Title :
Analysis of Electric Grid Interdiction With Line Switching
Author :
Delgadillo, Andrés ; Arroyo, José Manuel ; Alguacil, Natalia
Author_Institution :
Dept. de Ing. Electr., Electron., Autom. y Comun., Univ. de Castilla-La Mancha, Ciudad Real, Spain
Volume :
25
Issue :
2
fYear :
2010
fDate :
5/1/2010 12:00:00 AM
Firstpage :
633
Lastpage :
641
Abstract :
This paper addresses the vulnerability analysis of the electric grid under terrorist threat. This problem is formulated as a mixed-integer nonlinear bilevel program. In the upper-level optimization, the terrorist agent maximizes the damage caused in the power system, which is measured in terms of the level of system load shed. On the other hand, in the lower-level optimization, the system operator minimizes the damage by means of an optimal operation of the power system. The distinctive modeling feature introduced in this paper is that, among the different corrective actions available, the system operator has the capability to modify the network topology. Due to its nonconvexity and nonlinearity, the resulting bilevel programming problem cannot be equivalently transformed into a standard one-level optimization problem. Therefore, this paper proposes a new approach based on Benders decomposition within a restart framework. Some numerical results obtained by the proposed algorithm are provided and compared with those published, based on the IEEE Reliability Test System.
Keywords :
integer programming; load shedding; nonlinear programming; power grids; Bender decomposition approach; IEEE reliability test system; electric grid interdiction analysis; line switching; mixed-integer nonlinear bilevel programming level; network topology; one-level optimization problem; power system; system load shedding; upper-level optimization; Benders decomposition; bilevel programming; deliberate outages; line switching; load shedding; vulnerability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2009.2032232
Filename :
5332239
Link To Document :
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