Liangyuan Chen, Changting Yu, Jian Zhao, Dajian Li
{"title":"A Diagnosis Approach for Partial Discharge Faults Based on Multi-detection Technology Fusion","authors":"Liangyuan Chen, Changting Yu, Jian Zhao, Dajian Li","doi":"10.1109/SPIES52282.2021.9633837","DOIUrl":null,"url":null,"abstract":"For partial discharge (PD) in transformer, every single detection method has its limitation and cannot solve all the problems perfectly. To overcome the limitation of single detection method and improve the reliability of partial discharge detection, this study proposed a diagnosis approach based on multi-detection technology fusion of Dissolved Gas Analysis (DGA), PD ultrasonic location and PD test of long-duration AC withstand voltage test. The effectiveness of the fusion detection method was confirmed by diagnosing of an internal discharge fault in a 110kV power transformer. Finally, preventive measures are presented, which give emphasis on manufacturing process, test results analysis, overhaul and examination, and so on.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633837","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
For partial discharge (PD) in transformer, every single detection method has its limitation and cannot solve all the problems perfectly. To overcome the limitation of single detection method and improve the reliability of partial discharge detection, this study proposed a diagnosis approach based on multi-detection technology fusion of Dissolved Gas Analysis (DGA), PD ultrasonic location and PD test of long-duration AC withstand voltage test. The effectiveness of the fusion detection method was confirmed by diagnosing of an internal discharge fault in a 110kV power transformer. Finally, preventive measures are presented, which give emphasis on manufacturing process, test results analysis, overhaul and examination, and so on.