Wentao Zhou, Xianghe Qi, Yao Lu, Ning Zhang, Chang Liu, Hao Jiang
{"title":"Operational Risk Assessment and Weak Link Identification of Stadium Power Supply System Based on Predicted Accident Set","authors":"Wentao Zhou, Xianghe Qi, Yao Lu, Ning Zhang, Chang Liu, Hao Jiang","doi":"10.1109/ICITES53477.2021.9637094","DOIUrl":null,"url":null,"abstract":"The frequent holding of large events makes the reliability of the power supply system of gymnasiums attract wide attention. In order to improve the risk control level of the power supply system of gymnasiums and ensure the safety and reliability of the power supply, this paper proposes a method of risk assessment and weak link identification for stadium power supply system. Firstly, the state enumeration method is used to generate the expected accident set, and the optimal load reduction model is established to obtain the risk index. Secondly, risk index is allocated to each component based on the Shapley value apportionment method, and the entropy weight method is used to calculate the comprehensive risk contribution rate of each component, so as to complete the identification of weak links in the venue power supply system. Finally, the effectiveness of the proposed method is verified by a typical power supply system in a gymnasium.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITES53477.2021.9637094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The frequent holding of large events makes the reliability of the power supply system of gymnasiums attract wide attention. In order to improve the risk control level of the power supply system of gymnasiums and ensure the safety and reliability of the power supply, this paper proposes a method of risk assessment and weak link identification for stadium power supply system. Firstly, the state enumeration method is used to generate the expected accident set, and the optimal load reduction model is established to obtain the risk index. Secondly, risk index is allocated to each component based on the Shapley value apportionment method, and the entropy weight method is used to calculate the comprehensive risk contribution rate of each component, so as to complete the identification of weak links in the venue power supply system. Finally, the effectiveness of the proposed method is verified by a typical power supply system in a gymnasium.