Research and Application of Fault Location Method for Active Distribution Network Based on Wideband Polymorphic Signal Identification

Xianzheng Cui, Yanshan Song, Wentao Xian, Kun Zhang
{"title":"Research and Application of Fault Location Method for Active Distribution Network Based on Wideband Polymorphic Signal Identification","authors":"Xianzheng Cui, Yanshan Song, Wentao Xian, Kun Zhang","doi":"10.1109/CPEEE56777.2023.10217408","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of identification of wideband polymorphic signals and location of fault zones faced by large-scale application of power electronic devices in active distribution networks, this paper proposed a wideband polymorphic signal identification algorithm based on CEEMDAN-RobustICA-TFT. The parameter estimation accuracy of the proposed algorithm in the case of noise free and strong noise was obtained through simulation, and the measurement error was about 0.06%. On this basis, a fault section location method for active distribution network was proposed, and a numerical example was vanalyzed to verify the feasibility and accuracy of this method. The fault section location unit was further constructed and field application tests were carried out. The experimental results show that the fault section location method proposed in this paper can quickly and accurately detect the fault information, and can also accurately locate in the strong noise environment.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEEE56777.2023.10217408","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 identification of wideband polymorphic signals and location of fault zones faced by large-scale application of power electronic devices in active distribution networks, this paper proposed a wideband polymorphic signal identification algorithm based on CEEMDAN-RobustICA-TFT. The parameter estimation accuracy of the proposed algorithm in the case of noise free and strong noise was obtained through simulation, and the measurement error was about 0.06%. On this basis, a fault section location method for active distribution network was proposed, and a numerical example was vanalyzed to verify the feasibility and accuracy of this method. The fault section location unit was further constructed and field application tests were carried out. The experimental results show that the fault section location method proposed in this paper can quickly and accurately detect the fault information, and can also accurately locate in the strong noise environment.
基于宽带多态信号识别的有源配电网故障定位方法研究与应用
为了解决电力电子设备在有源配电网中大规模应用所面临的宽带多态信号识别和故障带定位问题,本文提出了一种基于ceemdan -鲁棒tica - tft的宽带多态信号识别算法。通过仿真得到了该算法在无噪声和强噪声情况下的参数估计精度,测量误差约为0.06%。在此基础上,提出了一种有源配电网故障区段定位方法,并通过算例分析验证了该方法的可行性和准确性。进一步构建了断层定位单元,并进行了现场应用试验。实验结果表明,本文提出的故障段定位方法能够快速准确地检测出故障信息,并且在强噪声环境下也能准确定位。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信