Research on Fault Area Location Method of UHV Transmission Line Based on Transient Recording Technology

Chuan Zhang, Zhilu Wang, Haichao Peng, Guangxin Zhang, Liying Zhao, Minzhen Wang
{"title":"Research on Fault Area Location Method of UHV Transmission Line Based on Transient Recording Technology","authors":"Chuan Zhang, Zhilu Wang, Haichao Peng, Guangxin Zhang, Liying Zhao, Minzhen Wang","doi":"10.1109/ICSGEA.2019.00020","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of low accuracy of current uhv transmission line fault location method, a fault area location method based on transient recording technology is proposed. According to the principle of transient wave recording, fault collector of transmission line is designed to collect fault data. The fault signal collected by wavelet scale decomposition is used to determine the time when the fault traveling wave head reaches the detection point. Calculate the traveling wave velocity of the fault, and calculate the distance between the fault point and the detection point based on the arrival time of the wave head, so as to locate the fault area of uhv transmission line. Through the comparison with the current line fault location method, it is proved that the proposed fault area location method for uhv transmission line based on transient recording technology can effectively improve the fault location accuracy of the line by nearly twice, and is worth popularizing.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00020","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

In order to solve the problem of low accuracy of current uhv transmission line fault location method, a fault area location method based on transient recording technology is proposed. According to the principle of transient wave recording, fault collector of transmission line is designed to collect fault data. The fault signal collected by wavelet scale decomposition is used to determine the time when the fault traveling wave head reaches the detection point. Calculate the traveling wave velocity of the fault, and calculate the distance between the fault point and the detection point based on the arrival time of the wave head, so as to locate the fault area of uhv transmission line. Through the comparison with the current line fault location method, it is proved that the proposed fault area location method for uhv transmission line based on transient recording technology can effectively improve the fault location accuracy of the line by nearly twice, and is worth popularizing.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于暂态记录技术的特高压输电线路故障区域定位方法研究
针对目前特高压输电线路故障定位方法精度低的问题,提出了一种基于暂态记录技术的故障区域定位方法。根据暂态波记录原理,设计了传输线故障采集器,用于采集故障数据。利用小波尺度分解采集到的故障信号,确定故障行波头到达检测点的时间。计算故障的行波速,根据波头到达时间计算故障点与测点的距离,从而定位特高压输电线路的故障区域。通过与现有线路故障定位方法的比较,证明本文提出的基于暂态记录技术的特高压线路故障区域定位方法能有效地将线路故障定位精度提高近一倍,值得推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Summary of Studies on Bilingual Comparable Corpus Research and Application of Verification Error Data Processing of Electricity Meter Based on Grubbs Criterion Exploration of Clipped Barrier Silicon Carbide Schottky Diode Human Face Expression Recognition Based on Deep Learning-Deep Convolutional Neural Network Technical Research on High Power Silicon Carbide Schottky Barrier Diode
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1