Dynamic Bayesian network based reliability evaluation of supervision and control system in smart substations
DOI:10.7667/PSPC171637
Key Words:smart substation  supervision and control system  dynamic Bayesian network  dynamic characteristics  reliability evaluation
Author NameAffiliation
DAI Zhihui Hebei Key Laboratory of Distributed Energy Storage and Microgrid North China Electric Power University, Baoding 071003, China 
XIE Jun Hebei Key Laboratory of Distributed Energy Storage and Microgrid North China Electric Power University, Baoding 071003, China 
CHEN Xi State Grid Baoding Power Supply Company, Baoding 071000, China 
WANG Zengping Hebei Key Laboratory of Distributed Energy Storage and Microgrid North China Electric Power University, Baoding 071003, China 
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Abstract:Based on analysis of operating mechanism of smart Substation Supervision and Control System (SSCS), Dynamic Bayesian Network (DBN) is introduced to evaluate the reliability of SSCS. First, the function of SSCS is divided to three types and the corresponding functional Reliability Block Diagrams (RBD) are established. Secondly, the DBN model and its solution of SSCS are implemented based on the functional RBD. Finally, a study case is presented to demonstrate the effectiveness of the proposed method. The results show that dynamic characteristics of SSCS could be well described by DBN and hence provide reference for the system configuration optimization and fault diagnosis. This work is supported by National Natural Science Foundation of China (No. 51877084), Natural Science Foundation of Hebei Province (No. E2018502063), National Key Research and Development Program of China (No. 2016YFB0900203), and Fundamental Research Funds for the Central Universities (No. 2017MS096).
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