Risk Assessment for the Power Grid Dispatching Process Considering the Impact of Cyber Systems

Biyun Chen, Haoying Chen, Yiyi Zhang, Junhui Zhao and Emad Manla
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Biyun Chen: Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Haoying Chen: Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Yiyi Zhang: Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Junhui Zhao: Department of Electrical and Computer Engineering Computer Science, University of New Haven, West Haven, CT 06516, USA
Emad Manla: Department of Electrical and Computer Engineering Computer Science, University of New Haven, West Haven, CT 06516, USA

Energies, 2019, vol. 12, issue 6, 1-18

Abstract: Power grid dispatching is a high-risk process, and its execution depends on an available cyber system. However, the effects of cyber systems have not caught enough attention in current research on risk assessments in dispatching processes, which may cause optimistic risk results. In order to solve this problem, this paper proposes a risk assessment model that considers the impact of a cyber system on power grid dispatching processes. Firstly, a cyber-physical switchgear state model that integrates the reliability states of both cyber system functions and switchgears is proposed, based on the transition of switchgear states in the dispatching process. Then, the potential effects of each operating step on power grid states are analyzed considering the failure model of cyber-physical system (CPS) components. The risk probabilities and consequences of the power grid states are calculated to quantify the risk index. Finally, the workings and effectiveness of this model are illustrated using the IEEE Reliability Test System-1979.

Keywords: risk assessment; power grid dispatching; cyber-physical system; probabilistic model (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: 2019
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