Journal of Tianjin Agricultural University ›› 2023, Vol. 30 ›› Issue (3): 70-74.doi: 10.19640/j.cnki.jtau.2023.03.013

• Researches and Scientific Notes • Previous Articles     Next Articles

Human error prediction in charging and drainage of pumped storage power station based on AHP-SLIM

Ma Huixin, Yu Ping, Liang JingCorresponding Author, Qiu Lanqing   

  1. College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin 300392, China
  • Received:2021-11-11 Online:2023-06-30 Published:2023-09-06

Abstract: With the rapid development of water conservancy engineering in China, more and more attention has been paid to the safety of water conservancy engineering. In this paper, human factor reliability analysis was combined with pumped storage power station, and Success likelihood index method(SLIM)was used to analyze the reliability of charging and drainage personnel in pumped storage power station. Since SLIM relied more on experts’ subjective opinions, in order to improve the accuracy of results, Analytic hierarchy process(AHP)was combined with SLIM to screen out some unqualified experts' scoring results, and then PSFs were chosen as the criterion layer to calculate the weight value and the degree of influence on the error to obtain the probability. Analysis results showed that the influence of “Integrity, man-machine interface(MMI), operation support the integrity of cooperation quality, experience training and members’ cooperation quality” on the probability of high error degree was bigger. The human factors have important effects on actual operations of hydropower station. Thus, engineering could improve reliability of human factors to reduce accidents.

Key words: error prediction, pumped storage power station, human reliability analysis, success likelihood index method

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