{"title":"A Location Method for Arc Fault Based on Electromagnetic Radiation Signals and TDOA","authors":"Siyu Wei, Qing Yang, Yue Qi, Tong Zhou, Wei-Ji Liao, Jian Sun","doi":"10.1109/CEEPE55110.2022.9783382","DOIUrl":null,"url":null,"abstract":"The accurate location of arcing faults is of great significance to ensure the stable operation of the power system. Normally, arc discharge will radiate outward high-frequency electromagnetic signals. In this paper, an arcing fault location method based on Electromagnetic Radiation (EMR) signals and Time Difference of Arrival (TDOA) is proposed. A mathematical model of the arc fault location based on TDOA is established. The energy accumulation method is used to capture the time difference of EMR signals reaching different sensors, and the Chan algorithm is used to calculate the nonlinear equations to obtain the estimated coordinate of the arcing fault. The results of the arcing fault location experiment show that the time difference error of EMR signals is less than 0.2ns. The location error is about 11cm, which verifies the effectiveness of the proposed location method for arc fault.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The accurate location of arcing faults is of great significance to ensure the stable operation of the power system. Normally, arc discharge will radiate outward high-frequency electromagnetic signals. In this paper, an arcing fault location method based on Electromagnetic Radiation (EMR) signals and Time Difference of Arrival (TDOA) is proposed. A mathematical model of the arc fault location based on TDOA is established. The energy accumulation method is used to capture the time difference of EMR signals reaching different sensors, and the Chan algorithm is used to calculate the nonlinear equations to obtain the estimated coordinate of the arcing fault. The results of the arcing fault location experiment show that the time difference error of EMR signals is less than 0.2ns. The location error is about 11cm, which verifies the effectiveness of the proposed location method for arc fault.
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