{"title":"改进电力系统故障定位质量的自定义小波","authors":"P. Argyropoulos, H. Lev-Ari","doi":"10.1109/PECI.2013.6506062","DOIUrl":null,"url":null,"abstract":"A procedure for generating customized wavelets for detecting the location of a fault along the length of a transmission line is proposed. Measuring the time-difference-of-arrival (TDOA) between two consecutive transient reflections or the TDOA between the two initial peaks of two synchronized voltage/current bus measurements provides an accurate fault location estimate. Highly accurate TDOA estimates can be obtained only when the processed fault waveform consists of short/peaked pulses that arrive on a bus with a small group delay. Our customization procedure enhances the “peakedness” and shortens the group delay of the transient waveform by optimizing a suitable peakedness metric. This approach yields more accurate estimates than the “classic” (Daubechies) wavelet-based techniques found in the literature. The proposed method is independent of the fault-type and can be used to reduce the required data sampling rate while maintaining reliable TDOA estimates.","PeriodicalId":113021,"journal":{"name":"2013 IEEE Power and Energy Conference at Illinois (PECI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Customized wavelets for improved fault location quality in power systems\",\"authors\":\"P. Argyropoulos, H. Lev-Ari\",\"doi\":\"10.1109/PECI.2013.6506062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A procedure for generating customized wavelets for detecting the location of a fault along the length of a transmission line is proposed. Measuring the time-difference-of-arrival (TDOA) between two consecutive transient reflections or the TDOA between the two initial peaks of two synchronized voltage/current bus measurements provides an accurate fault location estimate. Highly accurate TDOA estimates can be obtained only when the processed fault waveform consists of short/peaked pulses that arrive on a bus with a small group delay. Our customization procedure enhances the “peakedness” and shortens the group delay of the transient waveform by optimizing a suitable peakedness metric. This approach yields more accurate estimates than the “classic” (Daubechies) wavelet-based techniques found in the literature. The proposed method is independent of the fault-type and can be used to reduce the required data sampling rate while maintaining reliable TDOA estimates.\",\"PeriodicalId\":113021,\"journal\":{\"name\":\"2013 IEEE Power and Energy Conference at Illinois (PECI)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Power and Energy Conference at Illinois (PECI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PECI.2013.6506062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Power and Energy Conference at Illinois (PECI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECI.2013.6506062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Customized wavelets for improved fault location quality in power systems
A procedure for generating customized wavelets for detecting the location of a fault along the length of a transmission line is proposed. Measuring the time-difference-of-arrival (TDOA) between two consecutive transient reflections or the TDOA between the two initial peaks of two synchronized voltage/current bus measurements provides an accurate fault location estimate. Highly accurate TDOA estimates can be obtained only when the processed fault waveform consists of short/peaked pulses that arrive on a bus with a small group delay. Our customization procedure enhances the “peakedness” and shortens the group delay of the transient waveform by optimizing a suitable peakedness metric. This approach yields more accurate estimates than the “classic” (Daubechies) wavelet-based techniques found in the literature. The proposed method is independent of the fault-type and can be used to reduce the required data sampling rate while maintaining reliable TDOA estimates.