Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems

Xiaming Ye, Junhua Zhao, Yan Zhang and Fushuan Wen
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Xiaming Ye: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Junhua Zhao: School of Electrical Engineering and Computer Science, the University of Newcastle, Newcastle, NSW 2308, Australia
Yan Zhang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Fushuan Wen: Department of Electrical and Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei

Energies, 2015, vol. 8, issue 6, 1-21

Abstract: 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.

Keywords: smart grid; distribution automation system; cyber security; vulnerability assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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