Article(id=1223196804729131502, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221798, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661788800000, receivedDateStr=2022-08-30, revisedDate=1666540800000, revisedDateStr=2022-10-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1769562444145, onlineDateStr=2026-01-28, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769562444145, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769562444145, creator=13701087609, updateTime=1769562444145, updator=13701087609, issue=Issue{id=1223196803663778281, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='8', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769562443888, creator=13701087609, updateTime=1769563793740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202465391166440, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202465391166441, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=209, endPage=213, ext={EN=ArticleExt(id=1223196805106618869, articleId=1223196804729131502, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Distributed Fault Location Matrix Algorithm of Transmission Lines Based on Traveling Wave Time Difference Information, columnId=1222940986234364233, journalTitle=Water Resources and Power, columnName=ELECTRICAL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

For the transmission line distributed traveling wave fault ranging system, this paper proposes a distributed fault location matrix algorithm of transmission lines based on traveling wave time difference information. The algorithm uses the principle of double-ended traveling wave ranging to construct the lower triangular fault location matrix by combining the monitoring node data two by two. The nature of matrix rank was used to select the fault point area and calculate the fault location distance simultaneously. The matrix zeroing algorithm was set to accelerate the find of matrix rank. The distance correction algorithm was set to improve the accuracy of positioning results. The applicability and reliability of the distributed traveling wave fault location matrix algorithm for transmission lines were verified by modeling and simulation with PSCAD and MATLAB software. The necessity of the corrected zeroing algorithm and the significant improvement of the distance correction algorithm on the fault location accuracy were demonstrated by comparison during the operation.

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针对传统分布式测距先选故障区域后故障定位的繁琐逻辑顺序问题，提出了一种基于行波时差信息的输电线路分布式故障定位矩阵算法，该算法利用双端行波测距原理，将监测节点数据两两结合构建下三角故障定位矩阵，通过矩阵秩的性质同时进行故障点区域选择及故障定位距离计算，并设置矩阵调零算法，加速矩阵秩的求取；设置距离修正算法，提高定位结果精确度。利用PSCAD、MATLAB软件建模仿真，验证了输电线路分布式行波故障定位矩阵算法的适用性及可靠性，在运算过程中对比证明了修正调零算法的必要性及距离修正算法对故障定位精度的显著提高。

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周福涛（1997-），男，硕士研究生，研究方向为电力系统故障监测，E-mail：610527130@qq.com

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周福涛（1997-），男，硕士研究生，研究方向为电力系统故障监测，E-mail：610527130@qq.com

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