Article(id=1321485698973156196, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.5.262, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1675612800000, receivedDateStr=2023-02-06, revisedDate=1684944000000, revisedDateStr=2023-05-25, acceptedDate=1688400000000, acceptedDateStr=2023-07-04, onlineDate=1792996342652, onlineDateStr=2026-10-26, pubDate=1759161600000, pubDateStr=2025-09-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792996342652, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792996342652, creator=13701087609, updateTime=1792996342652, 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=262, endPage=269, ext={EN=ArticleExt(id=1321485699392586597, articleId=1321485698973156196, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Optimal Configuration of Multi-microgrid Shared Energy Storage Considering Stepwise Utilization of Retired Batteries, columnId=1152281491788100462, journalTitle=Journal of Power Supply, columnName=Battery and Energy Storage, runingTitle=null, highlight=null, articleAbstract=

Under the “Dual-carbon” target, aimed at the problems of excessive investment in microgrid energy storage systems and the arrangement of retired batteries of new energy vehicles, a dual-layer optimal configuration model of a multi-microgrid shared energy storage system considering the stepwise utilization of retired batteries was proposed. First, the multi-microgrid shared energy storage system based on retired batteries was modeled. Second, a dual-layer capacity configuration model was adopted with the investment and operation and maintenance cost of microgrids as its upper-layer objective function and the daily operation cost of energy storage as its lower-layer objective function. The particle swarm optimization algorithm and Cplex linear solver were combined to solve the capacity configuration and equipment running state of shared energy storage. Finally, the result of an example indicates that the proposed model can effectively reduce costs and improve the utilization rate of resources, and the corresponding effect is remarkable.

, authors=Juan WANG, Guohui ZENG, Bo HUANG, Jin LIU, authorsList=Juan WANG, Guohui ZENG, Bo HUANG, Jin LIU, authorCompany=null, correspAuthors=Guohui ZENG, 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=1321485701896586089, articleId=1321485698973156196, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=考虑退役电池梯次利用的多微网共享储能优化配置, columnId=1149830274575463188, journalTitle=电源学报, columnName=电池与储能, runingTitle=null, highlight=null, articleAbstract=

在“双碳”目标下，针对投入微网储能系统资金过高、新能源汽车退役电池的去向问题，提出考虑退役电池梯次利用的多微网共享储能系统双层优化配置模型。首先，分别对基于退役电池的共享储能多微网系统进行建模。其次，采用双层的容量配置模型，分别以微网的投资运维成本为上层目标函数，以储能日运行成本为下层目标函数，采用粒子群优化算法和Cplex线性求解器相结合对共享储能的容量配置和设备运行状态进行求解。最后，通过算例分析验证模型能够有效减少各项成本，提高资源利用率，且效果显著。

, authors=王娟, 曾国辉, 黄勃, 刘瑾, authorsList=王娟, 曾国辉, 黄勃, 刘瑾, authorCompany=null, correspAuthors=曾国辉, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=k9fRrfDe1u31tBnMLnS3Sw==, magXml=tlc9w6y670UAwEs7sLw9JA==, pdfUrl=null, pdf=5aohEITY8OuBsokCHHTMXg==, pdfFileSize=1952394, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=f1LuRKJUkKqJwC9AG7yP6Q==, mapNumber=null, fund=null)}, authors=[Author(id=1321485702345376622, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485698973156196, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=wjuan0805@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321485702462817136, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485698973156196, authorId=1321485702345376622, language=EN, stringName=Juan WANG, firstName=Juan, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321485702580257649, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485698973156196, authorId=1321485702345376622, language=CN, stringName=王娟, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=上海工程技术大学电子电气工程学院，上海　201620, bio={"content":"

王娟（1996—　），女，硕士研究生。研究方向：微电网容量配置。E-mail：wjuan0805@163.com。

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王娟（1996—　），女，硕士研究生。研究方向：微电网容量配置。E-mail：wjuan0805@163.com。

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黄勃（1985—　），男，博士，副教授。研究方向：人工智能。E-mail：huangbosues@sues.edu.cn。

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黄勃（1985—　），男，博士，副教授。研究方向：人工智能。E-mail：huangbosues@sues.edu.cn。

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刘瑾（1978—　），女，博士，教授。研究方向：智能控制技术。E-mail：flyingpine@sina.com。

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刘瑾（1978—　），女，博士，教授。研究方向：智能控制技术。E-mail：flyingpine@sina.com。

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