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Investment Planning for Electric Power Systems Under Terrorist Threat

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5 Author(s)
Natalia Romero ; School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA ; Ningxiong Xu ; Linda K. Nozick ; Ian Dobson
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Access to electric power is critical to societal welfare. In this paper, we analyze the interaction between a defender and a terrorist who threatens the operation of an electric power system. The defender wants to find a strategic defense to minimize the consequences of an attack. Both parties have limited budgets and behave in their own self-interest. The problem is formulated as a multi-level mixed-integer programming problem. A Tabu Search with an embedded greedy algorithm for the attack problem is implemented to find the optimum defense strategy. We apply the algorithm to a 24-bus network for a combination of four different defense budgets, three attack budgets, and three assumptions as to how the terrorists craft their attacks.

Published in:

IEEE Transactions on Power Systems  (Volume:27 ,  Issue: 1 )