A Bayesian network approach for human reliability analysis of power system

Abstract

Along with the improvement of equipment reliability, human error has become a great threat to the power system reliability and safety. However, the research of human reliability analysis in power system is still in its infancy. There is still little approach for quantitatively measuring the human reliability of power system. In this paper, the definition of human reliability of power system and a human error causal framework are given firstly. Secondly, with the suitable Performance Influencing Factors(PIFs) selected, the probability inference model based on Bayesian network for human reliability analysis is proposed. Finally, a case study shows that the proposed methodology can integrate organizational factors, situational factors, and individual factors to quantitatively measure the human reliability of power system. This approach provides forceful support for improving the human reliability of power system and has a good prospect.

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