Article(id=1223201267309199610, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221373, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1656950400000, receivedDateStr=2022-07-05, revisedDate=1664208000000, revisedDateStr=2022-09-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563508107, onlineDateStr=2026-01-28, pubDate=1690214400000, pubDateStr=2023-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563508107, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563508107, creator=13701087609, updateTime=1769563508107, updator=13701087609, issue=Issue{id=1223201250133524577, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='7', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769563504012, creator=13701087609, updateTime=1769563583713, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223201584469885927, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223201584469885928, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=213, endPage=217, ext={EN=ArticleExt(id=1223201272690491871, articleId=1223201267309199610, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Technology and Application for Cable Fault Location Based on Cross-correlation Function of Traveling Waves, columnId=1222940986234364233, journalTitle=Water Resources and Power, columnName=ELECTRICAL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

Long distance and concealment of underground cable in hydropower station result in difficulties in cable fault location. Due to the simple wiring, the impulse high-voltage flashover method is commonly used to locate cable faults, which needs technicians with rich waveform analysis experience to locate fault accurately. For the above situation, by studying the fault positioning principle and waveform analysis method of impact high voltage flashover, a cable fault location technology based on traveling wave cross-correlation method was proposed. The simulation analysis results show that the proposed method can effectively realize automatic cable fault location. Finally, the analysis steps and procedures of power cable fault location has been practiced in Houziyan Power Generation in Dadu River and realized high-precision positioning of 10 kV cable fault point, which reduced the cable fault locating workload and working hours while improving the efficiency of cable fault location.

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水电站电缆距离长、地下敷设的隐蔽性导致电缆故障查找困难，目前常用冲击高压闪络法等进行电缆故障测距，其接线简单，但波形分析难度较大，需有丰富波形分析经验的人员才能较准确定位。对此，通过研究冲击高压闪络法电缆故障定位原理及波形分析方法，建立了一种行波互相关法的电缆故障定位模型，仿真结果表明该模型能有效实现电缆故障的自动定位，并将该模型应用于大渡河猴子岩水电站生产实践中进行验证，实现了10 kV电缆故障点高精度定位，减少了电缆故障查找工作量及时长，提高了电缆故障定位效率。

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宋柯（1969-），男，高级工程师，研究方向为水电站技术与管理，E-mail：943209834@qq.com

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宋柯（1969-），男，高级工程师，研究方向为水电站技术与管理，E-mail：943209834@qq.com

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