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Energies 2015, 8(6), 5266-5286; doi:10.3390/en8065266

Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems

College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
School of Electrical Engineering and Computer Science, the University of Newcastle, Newcastle, NSW 2308, Australia
Department of Electrical and Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei
Author to whom correspondence should be addressed.
Academic Editor: Thorsten Staake
Received: 19 March 2015 / Revised: 18 May 2015 / Accepted: 25 May 2015 / Published: 3 June 2015
(This article belongs to the Special Issue Smart Metering)
View Full-Text   |   Download PDF [841 KB, uploaded 3 June 2015]   |  


The distribution automation system (DAS) is vulnerable to cyber-attacks due to the widespread use of terminal devices and standard communication protocols. On account of the cost of defense, it is impossible to ensure the security of every device in the DAS. Given this background, a novel quantitative vulnerability assessment model of cyber security for DAS is developed in this paper. In the assessment model, the potential physical consequences of cyber-attacks are analyzed from two levels: terminal device level and control center server level. Then, the attack process is modeled based on game theory and the relationships among different vulnerabilities are analyzed by introducing a vulnerability adjacency matrix. Finally, the application process of the proposed methodology is illustrated through a case study based on bus 2 of the Roy Billinton Test System (RBTS). The results demonstrate the reasonability and effectiveness of the proposed methodology. View Full-Text
Keywords: smart grid; distribution automation system; cyber security; vulnerability assessment smart grid; distribution automation system; cyber security; vulnerability assessment

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ye, X.; Zhao, J.; Zhang, Y.; Wen, F. Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems. Energies 2015, 8, 5266-5286.

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