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VULNERABILITY ASSESSMENT OF POWER SYSTEMS TO INTENTIONAL ATTACKS USING A SPECIALIZED GENETIC ALGORITHM

机译：基于特定遗传算法的电力系统易受攻击性脆弱性评估

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A specialized genetic algorithm applied to the solution of the electric grid interdiction problem is presented in this paper. This problem consists in the interaction of a disruptive agent who aims at maximizing damage of the power system (measured as load shed), and the system operator, who implements corrective actions to minimize system load shed. This problem, also known as ?the terrorist threat problem?, is formulated in a bi-level programming structure and solved by means of a genetic algorithm. The solution identifies the most vulnerable links of the network in terms of a terrorist attack, providing signals for future reinforcement of the network or more strict surveillance of critical elements. The proposed approach has been tested on three case studies: a didactic five-bus power system, a prototype of the Colombian power system and the IEEE Reliability Test System. Results show the robustness and applicability of the proposed approach.
机译：提出了一种适用于电网拦截问题求解的专用遗传算法。该问题在于旨在最大程度地破坏电力系统（以负载下降为度量）的破坏性代理商与采取纠正措施以最大程度地减少系统负载下降的系统运营商之间的相互作用。这个问题，也称为“恐怖威胁问题”，以双层编程结构提出，并通过遗传算法解决。该解决方案根据恐怖袭击确定了网络中最易受攻击的链接，为将来加强网络或更严格地监视关键元素提供了信号。该提议的方法已经在三个案例研究中进行了测试：一个教学的五总线电源系统，哥伦比亚电源系统的原型以及IEEE可靠性测试系统。结果表明了该方法的鲁棒性和适用性。

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