{"title":"Estimation of energy losses in distribution transformers using a fuzzy approach","authors":"G. Grigoraș, B. Neagu, Florina Scarlatache","doi":"10.1109/ISFEE.2016.7803183","DOIUrl":null,"url":null,"abstract":"The paper presents a fuzzy approach for evaluation of the power/energy losses in transformers from the electrical distribution networks considering three input variables: the loading factor, the voltage on low side, and the performance standard. These are modelled as linguistic variables and fuzzy numbers. The obtained results on a real distribution network have shown that the developed approach can be used as an alternative tool to estimate the power/energy losses in transformers in uncertainty conditions when there is few information about the network state and performance standard.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISFEE.2016.7803183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper presents a fuzzy approach for evaluation of the power/energy losses in transformers from the electrical distribution networks considering three input variables: the loading factor, the voltage on low side, and the performance standard. These are modelled as linguistic variables and fuzzy numbers. The obtained results on a real distribution network have shown that the developed approach can be used as an alternative tool to estimate the power/energy losses in transformers in uncertainty conditions when there is few information about the network state and performance standard.
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