Visible to the public Vulnerability Analysis for Simultaneous Attack in Smart Grid Security

TitleVulnerability Analysis for Simultaneous Attack in Smart Grid Security
Publication TypeConference Paper
Year of Publication2017
AuthorsPaul, S., Ni, Z.
Conference Name2017 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Date Publishedapr
ISBN Number978-1-5386-2890-4
KeywordsAnalytical models, cascaded failure simulator, cascaded outage, composability, compositionality, damage measurement matrix, failure analysis, general power system test cases, generation power loss, Generators, Malware, Metrics, modified cascading failure simulator, power grid infrastructures, power grid system, power grid vulnerability analysis, power system measurement, power system security, power system stability, pubcrawl, reduced calculation time, resilience, Resiliency, security, Simultaneous attack, smart grid security, Smart grids, smart power grids, total blackout, vulnerability analysis

Power grid infrastructures have been exposed to several terrorists and cyber attacks from different perspectives and have resulted in critical system failures. Among different attack strategies, simultaneous attack is feasible for the attacker if enough resources are available at the moment. In this paper, vulnerability analysis for simultaneous attack is investigated, using a modified cascading failure simulator with reduced calculation time than the existing methods. A new damage measurement matrix is proposed with the loss of generation power and time to reach the steady-state condition. The combination of attacks that can result in a total blackout in the shortest time are considered as the strongest simultaneous attack for the system from attacker's viewpoint. The proposed approach can be used for general power system test cases. In this paper, we conducted the experiments on W&W 6 bus system and IEEE 30 bus system for demonstration of the result. The modified simulator can automatically find the strongest attack combinations for reaching maximum damage in terms of generation power loss and time to reach black-out.

Citation Keypaul_vulnerability_2017