R. Mishra, P. M. Deoghare, Chetan Bhale, S. Lanjewar
{"title":"基于小波变换的输电线路故障分类与定位","authors":"R. Mishra, P. M. Deoghare, Chetan Bhale, S. Lanjewar","doi":"10.1109/ISEG.2014.7005616","DOIUrl":null,"url":null,"abstract":"Now a days the demand of electrical energy continuously increasing day by day, to fulfill this demand the electrical power network becomes complicated. Wavelet analysis which is a mathematical tool for signal analysis is used to detect and classify the type of fault occurring on the transmission line. This paper presents an improved algorithm for transmission line fault classification by using wavelet. Use of Impedance measurement technique and travelling wave theory is adopted here for the location of fault. Discrete wavelet transform of current signals is utilized for fault classification. MATLAB/Simulation is used to generate fault signals. Simulation results reveal that the performance of the proposed fault detection indicator is promising and easy to implement for computer relaying application.","PeriodicalId":105826,"journal":{"name":"2014 International Conference on Smart Electric Grid (ISEG)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Wavelet based transmission line fault classification and location\",\"authors\":\"R. Mishra, P. M. Deoghare, Chetan Bhale, S. Lanjewar\",\"doi\":\"10.1109/ISEG.2014.7005616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Now a days the demand of electrical energy continuously increasing day by day, to fulfill this demand the electrical power network becomes complicated. Wavelet analysis which is a mathematical tool for signal analysis is used to detect and classify the type of fault occurring on the transmission line. This paper presents an improved algorithm for transmission line fault classification by using wavelet. Use of Impedance measurement technique and travelling wave theory is adopted here for the location of fault. Discrete wavelet transform of current signals is utilized for fault classification. MATLAB/Simulation is used to generate fault signals. Simulation results reveal that the performance of the proposed fault detection indicator is promising and easy to implement for computer relaying application.\",\"PeriodicalId\":105826,\"journal\":{\"name\":\"2014 International Conference on Smart Electric Grid (ISEG)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Smart Electric Grid (ISEG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEG.2014.7005616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Smart Electric Grid (ISEG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEG.2014.7005616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet based transmission line fault classification and location
Now a days the demand of electrical energy continuously increasing day by day, to fulfill this demand the electrical power network becomes complicated. Wavelet analysis which is a mathematical tool for signal analysis is used to detect and classify the type of fault occurring on the transmission line. This paper presents an improved algorithm for transmission line fault classification by using wavelet. Use of Impedance measurement technique and travelling wave theory is adopted here for the location of fault. Discrete wavelet transform of current signals is utilized for fault classification. MATLAB/Simulation is used to generate fault signals. Simulation results reveal that the performance of the proposed fault detection indicator is promising and easy to implement for computer relaying application.