Article(id=1322531695539110695, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322531607177707705, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.5.219, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1705507200000, receivedDateStr=2024-01-18, revisedDate=1712851200000, revisedDateStr=2024-04-12, acceptedDate=1714924800000, acceptedDateStr=2024-05-06, onlineDate=1793245727667, onlineDateStr=2026-10-29, pubDate=1780070400000, pubDateStr=2026-05-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793245727667, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793245727667, creator=13701087609, updateTime=1793245727667, updator=13701087609, issue=Issue{id=1322531607177707705, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='5', pageStart='1', pageEnd='348', issueExtLink='null', onlineDate='null', pubDate='1780070400000', pubDateStr='2026-05-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793245706600, creator='13701087609', updateTime=1793245706600, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=219, endPage=228, ext={EN=ArticleExt(id=1322531695761408808, articleId=1322531695539110695, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Vulnerability Identification of High Proportion Distributed Photovoltaic Power Distribution Network Based on EGAT, columnId=1321491706692878600, journalTitle=Journal of Power Supply, columnName=Power Electronic Dominated Power Systems, runingTitle=null, highlight=null, articleAbstract=

To address the complexities in regulating and operating distribution grids with a high proportion of distributed photovoltaic (PV) systems, which challenges conventional methods in vulnerability identification, a novel methodology utilizing an edge-feature graph attention network (EGAT) is proposed for state estimation and further identification of vulnerabilities via over-limit indicators. Initially, busbars within the distribution network are conceptualized as nodes of a graph, with transmission lines serving as edges, thus forming a topological dataset grounded in their connectivity matrix. Subsequently, the power of each transmission line and the voltages at the connected busbars are consolidated into an edge feature matrix. The employment of EGAT layers facilitates targeted feature extraction and learning, where attention weights are attributed to each node and transmission line. In response to various operational scenarios of the PV distribution network, the EGAT model undergoes training with the integration of transfer learning techniques. Ultimately, by establishing indices for node vulnerability and line vulnerability, a thorough evaluation of the network’s vulnerability under different scenarios is achieved. Demonstrative case studies validate the effectiveness of this approach in recognizing vulnerabilities within distribution networks with substantial integration of distributed PV systems, accurately identifying vulnerable nodes and lines induced by fluctuations in PV output and topological modifications.

, authors=Yufei WANG, Xiaoning LÜ, Hai SHI, Yunfeng WEI, authorsList=Yufei WANG, Xiaoning LÜ, Hai SHI, Yunfeng WEI, authorCompany=null, correspAuthors=Yufei WANG, 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=1322531696046621481, articleId=1322531695539110695, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于EGAT的高比例分布式光伏配电网的脆弱性辨识, columnId=1321491706852262154, journalTitle=电源学报, columnName=电力电子化电力系统, runingTitle=null, highlight=null, articleAbstract=

针对高比例分布式光伏PV（photovoltaic）配电网调控和运行方式的复杂性而采用传统方法难以辨识其脆弱性的问题，提出一种基于边缘特征图注意力神经网络EGAT（edge-feature graph attention network）进行状态估计、进一步结合越限指标以识别配电网脆弱性的方法。首先，将配电网母线作为图网络节点，母线间的传输线路视为边，根据节点和线路的关系矩阵构建配电网拓扑结构数据集；其次，将每条传输线路的功率和其连接的母线电压组成边缘特征矩阵；随后，利用EGAT层对特征进行提取学习，其中每个母线和传输线路被赋予1个注意力权重；然后，针对光伏配电网不同的运行场景，训练EGAT模型并整合加入迁移学习；最后，通过构建节点脆弱性指标和线路脆弱性指标，全面评估在不同场景下的配电网脆弱性情况。算例测试显示，该方法能有效应对高比例分布式光伏接入配电网时的脆弱性辨识挑战，准确识别高比例分布式光伏配电网中光伏出力不同及拓扑结构变化而产生的脆弱节点和线路。

, authors=王宇飞, 吕晓宁, 时海, 魏云峰, authorsList=王宇飞, 吕晓宁, 时海, 魏云峰, authorCompany=null, correspAuthors=王宇飞, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=3TltVBVvVJ/pffBfgn/XJw==, magXml=fEoeLLxJB6pb/jZ5b4g2Yw==, pdfUrl=null, pdf=iBsZU/srhLgnpKkmu6ykMA==, pdfFileSize=1889016, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=WjOMw6R/hUTILBKyG3Ep5w==, mapNumber=null, fund=null)}, authors=[Author(id=1322531696315056942, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=wang.yuf@jibei.sgcc.com.cn, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1322531696398943024, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, authorId=1322531696315056942, language=EN, stringName=Yufei WANG, firstName=Yufei, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=State Grid Jibei Electric Power Co., Ltd., Zhangjiakou Power Supply Company, Zhangjiakou 075000, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322531696562520881, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, authorId=1322531696315056942, language=CN, stringName=王宇飞, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=国网冀北电力有限公司张家口供电公司，张家口　075000, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1322531696243753770, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, xref=null, ext=[AuthorCompanyExt(id=1322531696252142379, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, companyId=1322531696243753770, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=State Grid Jibei Electric Power Co., Ltd., Zhangjiakou Power Supply Company, Zhangjiakou 075000, China), AuthorCompanyExt(id=1322531696260530988, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, companyId=1322531696243753770, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=国网冀北电力有限公司张家口供电公司，张家口　075000)])]), Author(id=1322531696617046835, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=lv.xiaoning@jibei.sgcc.com.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322531696713515829, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, authorId=1322531696617046835, language=EN, stringName=Xiaoning LÜ, firstName=Xiaoning, middleName=null, lastName=LÜ, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=State Grid Jibei Electric Power Co., Ltd., Zhangjiakou Power Supply Company, Zhangjiakou 075000, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322531696784818998, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531695539110695, authorId=1322531696617046835, language=CN, stringName=吕晓宁, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=国网冀北电力有限公司张家口供电公司，张家口　075000, bio={"content":"

吕晓宁（1980—　），男，本科，工程师。研究方向：电力经济分析。E-mail：lv.xiaoning@jibei.sgcc.com.cn。

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吕晓宁（1980—　），男，本科，工程师。研究方向：电力经济分析。E-mail：lv.xiaoning@jibei.sgcc.com.cn。

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时海（1988—　），男，本科，高级工程师。研究方向：线损管理和可靠性管理。E-mail：shi.hai@jibei.sgcc.com.cn。

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时海（1988—　），男，本科，高级工程师。研究方向：线损管理和可靠性管理。E-mail：shi.hai@jibei.sgcc.com.cn。

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魏云峰（1998—　），男，本科，助理工程师。研究方向：配电网建设。E-mail：wei.yunfeng@jibei.sgcc.com.cn。

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魏云峰（1998—　），男，本科，助理工程师。研究方向：配电网建设。E-mail：wei.yunfeng@jibei.sgcc.com.cn。

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