{"title":"A multi-level fuzzy evaluation method for the reliability of integrated energy systems based on combined empowerment","authors":"Pei He, Xiaodong Wang, Yangming Guo, Sheng Xu, Qian Yang, Shaoquan Wang","doi":"10.1109/phm-yantai55411.2022.9941833","DOIUrl":null,"url":null,"abstract":"A reasonable and accurate assessment of the reliability of integrated energy system helps to realize the collaborative planning and optimal regulation of smart energy. In this paper, we propose a multi-level fuzzy evaluation model based on combined empowerment for the reliability evaluation of Integrated Energy System (IES). The evaluation indicators are reasonably graded and scientifically integrated to produce assessment conclusions reflecting the overall system condition. The comparative analysis shows that the proposed method can effectively assess the reliability of IES.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/phm-yantai55411.2022.9941833","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
A reasonable and accurate assessment of the reliability of integrated energy system helps to realize the collaborative planning and optimal regulation of smart energy. In this paper, we propose a multi-level fuzzy evaluation model based on combined empowerment for the reliability evaluation of Integrated Energy System (IES). The evaluation indicators are reasonably graded and scientifically integrated to produce assessment conclusions reflecting the overall system condition. The comparative analysis shows that the proposed method can effectively assess the reliability of IES.
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