The method of distribution network fault location based on improved Dempster-Shafer Theory of evidence

Zhen Zhang, Zhanjun Gao, Siyuan Li, Yan Zhao
{"title":"The method of distribution network fault location based on improved Dempster-Shafer Theory of evidence","authors":"Zhen Zhang, Zhanjun Gao, Siyuan Li, Yan Zhao","doi":"10.1109/APPEEC.2017.8308903","DOIUrl":null,"url":null,"abstract":"A new method of fault location of distribution network based on the tree structure diagram and improved Dempster-Shafer Theory of evidence is proposed to solve the problem of misjudgment caused by abnormal fault information in distribution network. Firstly, this paper presents a new search method based on tree structure diagram. Through the tree structure diagram, we can ensure the initial positioning result respectively based on three different alarm information. The three alarm information include fault indicator information, distribution transformer information and trouble calls. And then, through using the improved Dempster-Shafer Theory of evidence, we can integrate the initial positioning results to get the final positioning result. Finally, a concrete example is given to demonstrate the effectiveness and feasibility of this method, which indicates that the method can solve the problem when misinformation or information happens. The outstanding advantage of this method is that the multi-source information is used to locate the fault, and the misjudgment due to the abnormality of the single source information can be avoided.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2017.8308903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

A new method of fault location of distribution network based on the tree structure diagram and improved Dempster-Shafer Theory of evidence is proposed to solve the problem of misjudgment caused by abnormal fault information in distribution network. Firstly, this paper presents a new search method based on tree structure diagram. Through the tree structure diagram, we can ensure the initial positioning result respectively based on three different alarm information. The three alarm information include fault indicator information, distribution transformer information and trouble calls. And then, through using the improved Dempster-Shafer Theory of evidence, we can integrate the initial positioning results to get the final positioning result. Finally, a concrete example is given to demonstrate the effectiveness and feasibility of this method, which indicates that the method can solve the problem when misinformation or information happens. The outstanding advantage of this method is that the multi-source information is used to locate the fault, and the misjudgment due to the abnormality of the single source information can be avoided.
基于改进Dempster-Shafer证据理论的配电网故障定位方法
针对配电网故障信息异常导致的误判问题,提出了一种基于树形结构图和改进的邓普斯特-谢弗证据理论的配电网故障定位新方法。首先,本文提出了一种新的基于树结构图的搜索方法。通过树形结构图,我们可以根据三种不同的报警信息分别保证初始定位结果。三种报警信息包括故障指示灯信息、配电变压器信息和故障报警。然后,利用改进的Dempster-Shafer证据理论,对初始定位结果进行积分,得到最终定位结果。最后,通过具体实例验证了该方法的有效性和可行性,表明该方法可以很好地解决错误信息或信息发生时的问题。该方法的突出优点是利用多源信息进行故障定位,避免了单源信息异常导致的误判。
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