Impacts of bad data injection on power systems security: intruder point of view

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Gharebaghi, S

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Type of Document: Article
DOI: 10.1109/SGC.2017.8308860
Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
Abstract:
Nowadays communication and monitoring systems play an important role in power systems security. However, these systems are exposed to bad data injection through attackers. This paper is aimed to propose a priority order list of attacked buses in order to be fully informed about the attacker decision. To do so, system security is evaluated through two well-known risk indices including under voltage risk index and overloading risk index. A genetic algorithm (GA) is employed to determine the most severe attack for each of the security indices. The effectiveness and accuracy of the proposed model are scrutinized through simulations on the IEEE 30-bus network. The paper reveals that knowing the most important buses from the attacker point of view will considerably reduce the freedom degree of the attacker. © 2017 IEEE
Keywords:
Bad data injection ; Power system operation ; Electric power transmission networks ; Genetic algorithms ; Smart power grids ; State estimation ; Bad data ; Freedom degrees ; Monitoring system ; Power system operations ; Power systems security ; Security indices ; System security ; Electric power system security
Source: 2017 IEEE Smart Grid Conference, SGC 2017, 20 December 2017 through 21 December 2017 ; Volume 2018-January , March , 2018 , Pages 1-6 ; 9781538642795 (ISBN)
URL: https://ieeexplore.ieee.org/document/8308860