Article(id=1223193057584074903, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221129, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1653494400000, receivedDateStr=2022-05-26, revisedDate=1662134400000, revisedDateStr=2022-09-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561550756, onlineDateStr=2026-01-28, pubDate=1674576000000, pubDateStr=2023-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561550756, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561550756, creator=13701087609, updateTime=1769561550756, updator=13701087609, issue=Issue{id=1223193053830169317, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='1', 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=1769561549861, creator=13701087609, updateTime=1769567790701, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223219229885857794, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223219229885857795, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=198, endPage=201, ext={EN=ArticleExt(id=1223193058716537002, articleId=1223193057584074903, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Fault Wave Location of 220 kV Transmission Line in Hydropower Station, columnId=1222940986234364233, journalTitle=Water Resources and Power, columnName=ELECTRICAL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

Aiming at the inability to accurately locate the fault of the transmission line in hydropower station, an improved double-end location algorithm independent of wave velocity was derived from the actual propagation theory of traveling waves. Using the unique advantages of variational mode decomposition (VMD) which can adaptively decompose fault current traveling wave signals, and the Teager energy operator (TEO) which can quickly track the energy change of signals and has less computation, a traveling wave positioning model for 220 kV transmission lines based on VMD-TEO was established. The model does not need to consider wave velocity correction and double terminal time synchronization. The simulation results of PSCAD show that the maximum error percentage of the improved double-end fault location model is 0.239%, which is superior to other location algorithms. The reliability and superiority of the proposed method were verified.

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针对水电站输电线路发生故障后无法准确实施定位的问题,从行波的实际传播理论出发,推导出一种与波速无关的改进双端定位算法。利用变分模态分解(VMD)能自适应地分解故障电流行波信号,Teager能量算子(TEO)可快速追踪信号的能量变化、运算量小的独特优势,建立了基于VMD-TEO的220 kV输电线路行波定位模型,该模型无需考虑波速修正和双端时间同步。PSCAD仿真结果表明,改进的双端故障定位模型误差百分比最大为0.239%,优于其他定位算法,验证了所提方法的可靠性和优越性。

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文中(1968-),男,硕士、副教授,研究方向为输电线路杆塔及基础,E-mail:

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文中(1968-),男,硕士、副教授,研究方向为输电线路杆塔及基础,E-mail:

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水电站220 kV输电线路故障行波定位
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文中 1, 2 , 罗苏新 1 , 刘斐 1 , 郭俊康 1 , 郑连华 1
水电能源科学 | 电气工程 2023,41(1): 198-201
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水电能源科学 | 电气工程 2023, 41(1): 198-201
水电站220 kV输电线路故障行波定位
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文中1, 2 , 罗苏新1, 刘斐1, 郭俊康1, 郑连华1
作者信息
  • 1.三峡大学电气与新能源学院,湖北 宜昌,443002
  • 2.湖北省输电线路工程技术研究中心(三峡大学),湖北 宜昌 443002
  • 文中(1968-),男,硕士、副教授,研究方向为输电线路杆塔及基础,E-mail:

Fault Wave Location of 220 kV Transmission Line in Hydropower Station
Zhong WEN1, 2 , Su-xin LUO1, Fei LIU1, Jun-kang GUO1, Lian-hua ZHENG1
Affiliations
  • 1.College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
  • 2.Hubei Provincial Engineering Technology Research Center for Power Transmission Line, China Three Gorges University, Yichang 443002, China
出版时间: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20221129
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针对水电站输电线路发生故障后无法准确实施定位的问题,从行波的实际传播理论出发,推导出一种与波速无关的改进双端定位算法。利用变分模态分解(VMD)能自适应地分解故障电流行波信号,Teager能量算子(TEO)可快速追踪信号的能量变化、运算量小的独特优势,建立了基于VMD-TEO的220 kV输电线路行波定位模型,该模型无需考虑波速修正和双端时间同步。PSCAD仿真结果表明,改进的双端故障定位模型误差百分比最大为0.239%,优于其他定位算法,验证了所提方法的可靠性和优越性。

水电站  /  故障定位  /  双端法  /  波速修正  /  能量算子

Aiming at the inability to accurately locate the fault of the transmission line in hydropower station, an improved double-end location algorithm independent of wave velocity was derived from the actual propagation theory of traveling waves. Using the unique advantages of variational mode decomposition (VMD) which can adaptively decompose fault current traveling wave signals, and the Teager energy operator (TEO) which can quickly track the energy change of signals and has less computation, a traveling wave positioning model for 220 kV transmission lines based on VMD-TEO was established. The model does not need to consider wave velocity correction and double terminal time synchronization. The simulation results of PSCAD show that the maximum error percentage of the improved double-end fault location model is 0.239%, which is superior to other location algorithms. The reliability and superiority of the proposed method were verified.

hydropower station  /  fault location  /  dual-end method  /  wave speed correction  /  energy operator
文中, 罗苏新, 刘斐, 郭俊康, 郑连华. 水电站220 kV输电线路故障行波定位. 水电能源科学, 2023 , 41 (1) : 198 -201 . DOI: 10.20040/j.cnki.1000-7709.2023.20221129
Zhong WEN, Su-xin LUO, Fei LIU, Jun-kang GUO, Lian-hua ZHENG. Fault Wave Location of 220 kV Transmission Line in Hydropower Station[J]. Water Resources and Power, 2023 , 41 (1) : 198 -201 . DOI: 10.20040/j.cnki.1000-7709.2023.20221129
  • 国家自然科学基金项目(51807110)
2023年第41卷第1期
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doi: 10.20040/j.cnki.1000-7709.2023.20221129
  • 接收时间:2022-05-26
  • 首发时间:2026-01-28
  • 出版时间:2023-01-25
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  • 收稿日期:2022-05-26
  • 修回日期:2022-09-03
基金
国家自然科学基金项目(51807110)
作者信息
    1.三峡大学电气与新能源学院,湖北 宜昌,443002
    2.湖北省输电线路工程技术研究中心(三峡大学),湖北 宜昌 443002
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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