Article(id=1321485695726768787, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.5.174, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1663603200000, receivedDateStr=2022-09-20, revisedDate=1667491200000, revisedDateStr=2022-11-04, acceptedDate=1669046400000, acceptedDateStr=2022-11-22, onlineDate=1792996341877, onlineDateStr=2026-10-26, pubDate=1759161600000, pubDateStr=2025-09-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792996341877, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792996341877, creator=13701087609, updateTime=1792996341877, updator=13701087609, issue=Issue{id=1321485607872872740, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='5', pageStart='1', pageEnd='332', issueExtLink='null', onlineDate='null', pubDate='1759161600000', pubDateStr='2025-09-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792996320932, creator='13701087609', updateTime=1792996886850, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321487981563728115, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321487981563728116, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=174, endPage=184, ext={EN=ArticleExt(id=1321485697698091668, articleId=1321485695726768787, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Fault Identification of Multi-terminal MMC-HVDC Grid Based on Fault Current Characteristics, columnId=1152281496049037440, journalTitle=Journal of Power Supply, columnName=Power System, runingTitle=null, highlight=null, articleAbstract=

To meet the requirements of fast performance and reliability for multi-terminal modular multi-level converter based high voltage direct current (MMC-HVDC) grid protection, a fault identification scheme based on the characteristics of fault current component is proposed. First, the currents under faults inside and outside of a region are analyzed by using the propagation process of the traveling wave component of fault current, and the inside and outside faults are identified through the difference in changes in fault current. Second, the line-mode component is obtained by decoupling the bipolar line, and the polarity of the line-mode component of fault current can be taken as a direction criterion. Third, the calculated ratio between the averages of positive and negative fault currents is used to realize the fault pole selection. A simulation model of multi-terminal MMC-HVDC transmission line is established in PSCAD/EMTDC, and simulation results show that the proposed fault identification method can identify all kinds of faults quickly and accurately only by using the single-terminal fault current characteristics without the need of two-terminal communication, and it also has the capability of anti-overresistance, thereby satisfying the requirements for MMC-HVDC transmission fault protection.

, authors=Hua FU, Hui ZHANG, authorsList=Hua FU, Hui ZHANG, authorCompany=null, correspAuthors=Hui ZHANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321485698704724631, articleId=1321485695726768787, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于故障电流特征的多端柔性直流电网故障识别, columnId=1149830042320109574, journalTitle=电源学报, columnName=电力系统, runingTitle=null, highlight=null, articleAbstract=

为满足多端柔性直流电网保护的快速性和可靠性要求,提出1种基于故障电流分量的故障识别方案。方案利用故障电流行波分量的传播过程,对区内和区外故障时的电流进行分析,通过故障电流的变化差异对区内外故障进行识别;将双极线路解耦得到线模分量,故障电流线模分量的极性可作方向性判据;用计算得到的正、负极故障电流的平均值之比来实现故障的选极。在PSCAD/EMTDC中建立多端柔性直流输电线路仿真模型,仿真结果表明,所提的故障识别方法无需两端通信,仅利用单端故障电流特征量就能对各种故障进行快速、准确地辨识,且具有一定的抗过电阻能力,满足柔直输电的故障保护要求。

, authors=付华, 张辉, authorsList=付华, 张辉, authorCompany=null, correspAuthors=张辉, authorNote=

付华(1962— ),女,博士,教授。研究方向:电力系统故障辨识。E-mail:。

, correspAuthorsNote=
张辉(1999— ),男,通信作者,硕士研究生。研究方向:电力系统故障辨识。E-mail:。
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付华(1962— ),女,博士,教授。研究方向:电力系统故障辨识。E-mail:。

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付华(1962— ),女,博士,教授。研究方向:电力系统故障辨识。E-mail:。

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基于故障电流特征的多端柔性直流电网故障识别
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付华 , 张辉
电源学报 | 电力系统 2025,23(5): 174-184
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电源学报 |电力系统 2025 , 23 (5) : 174 -184
基于故障电流特征的多端柔性直流电网故障识别
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付华(1962— ),女,博士,教授。研究方向:电力系统故障辨识。E-mail:。

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付华(1962— ),女,博士,教授。研究方向:电力系统故障辨识。E-mail:。

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付华 , 张辉
作者信息
  • 辽宁工程技术大学电气与控制工程学院,葫芦岛 125105
通讯作者:
张辉(1999— ),男,通信作者,硕士研究生。研究方向:电力系统故障辨识。E-mail:。
作者简介:

付华(1962— ),女,博士,教授。研究方向:电力系统故障辨识。E-mail:。

Fault Identification of Multi-terminal MMC-HVDC Grid Based on Fault Current Characteristics
Hua FU , Hui ZHANG
Affiliations
  • Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China
出版时间: 2025-09-30 doi: 10.13234/j.issn.2095-2805.2025.5.174
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为满足多端柔性直流电网保护的快速性和可靠性要求,提出1种基于故障电流分量的故障识别方案。方案利用故障电流行波分量的传播过程,对区内和区外故障时的电流进行分析,通过故障电流的变化差异对区内外故障进行识别;将双极线路解耦得到线模分量,故障电流线模分量的极性可作方向性判据;用计算得到的正、负极故障电流的平均值之比来实现故障的选极。在PSCAD/EMTDC中建立多端柔性直流输电线路仿真模型,仿真结果表明,所提的故障识别方法无需两端通信,仅利用单端故障电流特征量就能对各种故障进行快速、准确地辨识,且具有一定的抗过电阻能力,满足柔直输电的故障保护要求。

柔性直流输电  /  故障识别  /  故障电流  /  故障选极  /  线模电流

To meet the requirements of fast performance and reliability for multi-terminal modular multi-level converter based high voltage direct current (MMC-HVDC) grid protection, a fault identification scheme based on the characteristics of fault current component is proposed. First, the currents under faults inside and outside of a region are analyzed by using the propagation process of the traveling wave component of fault current, and the inside and outside faults are identified through the difference in changes in fault current. Second, the line-mode component is obtained by decoupling the bipolar line, and the polarity of the line-mode component of fault current can be taken as a direction criterion. Third, the calculated ratio between the averages of positive and negative fault currents is used to realize the fault pole selection. A simulation model of multi-terminal MMC-HVDC transmission line is established in PSCAD/EMTDC, and simulation results show that the proposed fault identification method can identify all kinds of faults quickly and accurately only by using the single-terminal fault current characteristics without the need of two-terminal communication, and it also has the capability of anti-overresistance, thereby satisfying the requirements for MMC-HVDC transmission fault protection.

Modular multi-level converter based high voltage direct current (MMC-HVDC) transmission  /  fault identification  /  fault current  /  fault pole selection  /  line-mode current
付华, 张辉. 基于故障电流特征的多端柔性直流电网故障识别. 电源学报, 2025 , 23 (5) : 174 -184 . DOI: 10.13234/j.issn.2095-2805.2025.5.174
Hua FU, Hui ZHANG. Fault Identification of Multi-terminal MMC-HVDC Grid Based on Fault Current Characteristics[J]. Journal of Power Supply, 2025 , 23 (5) : 174 -184 . DOI: 10.13234/j.issn.2095-2805.2025.5.174
  • 国家自然科学基金资助项目(51974151; 71771111)
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2025年第23卷第5期
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doi: 10.13234/j.issn.2095-2805.2025.5.174
  • 接收时间:2022-09-20
  • 首发时间:2026-10-26
  • 出版时间:2025-09-30
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  • 收稿日期:2022-09-20
  • 修回日期:2022-11-04
  • 录用日期:2022-11-22
基金
National Natural Science Foundation of China(51974151; 71771111)
国家自然科学基金资助项目(51974151; 71771111)
作者信息
    辽宁工程技术大学电气与控制工程学院,葫芦岛 125105

通讯作者:

张辉(1999— ),男,通信作者,硕士研究生。研究方向:电力系统故障辨识。E-mail:。
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