Article(id=1309639389655957783, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1730390400000, receivedDateStr=2024-11-01, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171962416, onlineDateStr=2026-09-23, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171962416, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171962416, creator=13701087609, updateTime=1790171962416, updator=13701087609, issue=Issue{id=1309639371255542472, tenantId=1146029695717560320, journalId=1146119893612605453, year='2025', volume='43', issue='11', pageStart='1421', pageEnd='1562', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171958030, creator='13701087609', updateTime=1790231751141, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309890161824063505, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309890161824063506, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1547, endPage=1552, ext={EN=ArticleExt(id=1309639389869867288, articleId=1309639389655957783, tenantId=1146029695717560320, journalId=1146119893612605453, language=EN, title=Optimization algorithm for power loss in distribution network considering the integration of new energy into the grid, columnId=null, journalTitle=Renewable Energy Resources, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Compared to traditional energy, new energy exhibits obvious randomness, volatility, and regional characteristics, and its large-scale integration into the power grid will undoubtedly have a profound impact on the operation of the power system. Therefore, this article takes wind power as the research object, first analyzes its output characteristics and common distribution line loss calculation methods, and proposes an optimized power loss calculation method for the power grid. Considering the fluctuation of wind power output, the equivalent output curve of typical days in the month is corrected by combining the average electricity quantity and shape factor to calculate the power flow. Furthermore, the power loss data of typical days is used to estimate the power loss situation of the entire month. Finally, the proposed improved power loss calculation method was validated through numerical examples, and the results fully demonstrated the engineering feasibility of the proposed improved algorithm, effectively improving work efficiency and providing important guidance for engineering applications.

, authors=Yanxun Gu¹, Hongqiao Peng², Shifeng Liang¹, Huimin Zhang³, Xinghua Zhou³, Haolin Wu⁴, authorsList=Yanxun Gu, Hongqiao Peng, Shifeng Liang, Huimin Zhang, Xinghua Zhou, Haolin Wu, authorCompany=null, correspAuthors=null, 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=1309639390092165401, articleId=1309639389655957783, tenantId=1146029695717560320, journalId=1146119893612605453, language=CN, title=考虑新能源并网的配电网功率损耗优化算法, columnId=0, journalTitle=可再生能源, columnName=, runingTitle=null, highlight=null, articleAbstract=

与传统能源相比，新能源发电（特别是风电）具有显著的随机性、波动性和地域分布特征，其大规模并网将对电力系统运行产生多维度影响。文章以风电为研究对象，首先分析其出力特性及现有配电网线损计算方法，进而提出一种考虑风电波动性的改进型电网功率损耗计算模型。该模型通过引入平均电量与形状因子对月内典型日等效出力曲线进行动态校正，基于校正后的潮流计算获得典型日功率损耗，并通过时间尺度扩展实现月度线损估算。仿真算例表明，所提方法在保证计算精度的同时显著提升运算效率，为含高比例新能源的配电网线损分析提供了有效的工程化解决方案。

, authors=顾延勋¹, 彭虹桥², 梁世锋¹, 张慧敏³, 周兴华³, 吴灏霖⁴, authorsList=顾延勋, 彭虹桥, 梁世锋, 张慧敏, 周兴华, 吴灏霖, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=7ixSXicSh+UYLOs+mE1MMA==, magXml=rYnhyutjaIpPuRpagCqNQw==, pdfUrl=null, pdf=uLXZuYxySGBHiZwiDEIxXw==, pdfFileSize=773253, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=rm+ZgXIE3hpTgFIMDOiMdw==, mapNumber=null, fund=null)}, authors=[Author(id=1309639390721311015, tenantId=1146029695717560320, journalId=1146119893612605453, articleId=1309639389655957783, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1906103595@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1309639390801002793, tenantId=1146029695717560320, journalId=1146119893612605453, articleId=1309639389655957783, authorId=1309639390721311015, language=EN, stringName=Yanxun Gu, firstName=Yanxun, middleName=null, lastName=Gu, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai 519075, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1309639390884888874, tenantId=1146029695717560320, journalId=1146119893612605453, articleId=1309639389655957783, authorId=1309639390721311015, language=CN, stringName=顾延勋, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．广东电网有限责任公司珠海供电局，广东 珠海　519075, bio={"content":"

顾延勋（1980-），男，硕士，高级工程师，研究方向为电网规划、节能环保、线损及电碳。E-mail: 1906103595@qq.com

"}, bioImg=null, bioContent=

顾延勋（1980-），男，硕士，高级工程师，研究方向为电网规划、节能环保、线损及电碳。E-mail: 1906103595@qq.com

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