Article(id=1222940986469241571, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222940980886626474, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230119, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1675267200000, receivedDateStr=2023-02-02, revisedDate=1678550400000, revisedDateStr=2023-03-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1769501452318, onlineDateStr=2026-01-27, pubDate=1700841600000, pubDateStr=2023-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769501452318, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769501452318, creator=13041195026, updateTime=1769501452318, updator=13041195026, issue=Issue{id=1222940980886626474, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='11', pageStart='1', pageEnd='226', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769501450987, creator=13041195026, updateTime=1769501450987, updator=13041195026, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=212, endPage=216, ext={EN=ArticleExt(id=1222940988004356861, articleId=1222940986469241571, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Multi-objective Dimensionality Reduction and Multi-step Reconfiguration Based Two-stage Distribution Network Optimal Operation Strategy, columnId=1222940986234364233, journalTitle=Water Resources and Power, columnName=ELECTRICAL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

The high penetration of distributed renewable energy aggravates the power fluctuation and uncertainty of distribution network. In this paper, a two-stage optimal operation strategy of distribution network based on multi-objective reduction and multi-step reconfiguration was proposed. In the day-ahead stage, multiple operational flexibility index models of voltage deviation, power loss, total operating cost, net load peak-valley difference and net load coefficient were constructed. On the basis of the model, a multi-flexibility index dimension reduction method based on target correlation was proposed, which aims to balance the relationship between various indicators, reduce the number of targets and improve computational efficiency. In the intraday phase, a distribution network reconfiguration method based on multi-step switch sequence exchange was proposed by cooperatively controlling the sectionalizing switches and tie switches, which fully exploits the available flexibility resources of the system. Finally, the simulation of arithmetic cases based on the IEEE-33 node system, the IEEE-84 node system, the IEEE-119 node system and the IEEE-136 node system were carried out, and the results show the effectiveness of the proposed two-stage distribution network flexibility enhancement strategy.

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分布式可再生能源的高度渗透加剧了配电网功率波动性与不确定性。对此，提出了一种基于多目标降维和多步重构的两阶段配电网优化运行策略。日前阶段，在构建电压偏差、功率损耗、运行总成本、净负荷峰谷差和净负荷系数多重运行灵活性指标模型的基础上，提出了基于目标相关性的多重灵活性指标降维方法，旨在权衡各项指标之间的关系并减少目标数量，提高计算效率。日内阶段，通过协同控制分段开关和联络开关，提出了基于多步开关顺序交换的配电网重构方法，充分挖掘系统可用灵活性资源。最后，基于IEEE-33、IEEE-84、IEEE-119、IEEE-136节点系统进行算例仿真，结果验证了所提两阶段配电网优化运行策略的有效性。

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李京玉（1996-），女，硕士研究生，研究方向为配电网优化运行，E-mail：L1712356921@163.com

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李京玉（1996-），女，硕士研究生，研究方向为配电网优化运行，E-mail：L1712356921@163.com

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