Article(id=1321491372419428463, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491360620851250, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.7.96, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1663776000000, receivedDateStr=2022-09-22, revisedDate=1680451200000, revisedDateStr=2023-04-03, acceptedDate=1683475200000, acceptedDateStr=2023-05-08, onlineDate=1792997695307, onlineDateStr=2026-10-26, pubDate=1764432000000, pubDateStr=2025-11-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792997695307, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792997695307, creator=13701087609, updateTime=1792997695307, updator=13701087609, issue=Issue{id=1321491360620851250, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='7', pageStart='1', pageEnd='348', issueExtLink='null', onlineDate='null', pubDate='1764432000000', pubDateStr='2025-11-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792997692494, creator='13701087609', updateTime=1792997936183, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321492382776931282, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491360620851250, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321492382776931283, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491360620851250, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=96, endPage=104, ext={EN=ArticleExt(id=1321491372629143664, articleId=1321491372419428463, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Research on Optimal Configuration of Distributed Generations Considering Soft Open Point, columnId=1152281492153004911, journalTitle=Journal of Power Supply, columnName=Modeling and Control, runingTitle=null, highlight=null, articleAbstract=

The access of high-penetration distributed generations (DGs) poses significant challenges to the operation of active distribution network (ADN). With the consideration of the flexible and efficient regulation capability of soft open point (SOP) in ADN, a three-layer coordinated planning model of DG and SOP was proposed, which was combined with system planning and operation optimization. The planning of DG was determined by maximizing the annual revenue of a DG operator in the upper layer, the planning of SOP was determined by minimizing the annual comprehensive cost of distribution companies in the middle layer, and the system operation condition was optimized by minimizing the loss of distribution network in the lower layer. The scenario analysis technology was utilized to deal with the randomness of DG output, and a hybrid algorithm based on improved grey wolf optimization algorithm and second-order cone programming was put forward to solve the model. Finally, an IEEE 33-node system was taken as an example to verify the feasibility of the planning model and the corresponding solving algorithm.

, authors=Jiang ZHANG, Qian LIU, Yulin LI, Yilin CHEN, Hang JIANG, authorsList=Jiang ZHANG, Qian LIU, Yulin LI, Yilin CHEN, Hang JIANG, authorCompany=null, correspAuthors=Qian LIU, 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=1321491373400895603, articleId=1321491372419428463, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=计及智能软开关的分布式电源优化配置研究, columnId=1149829942550200325, journalTitle=电源学报, columnName=建模与控制, runingTitle=null, highlight=null, articleAbstract=

高渗透率分布式电源DG(distributed generation)的接入给主动配电网ADN(active distribution network)的运行带来了巨大挑战。考虑到智能软开关SOP(soft open point)在ADN中灵活高效的调节能力,提出了系统规划与运行优化相结合的DG与SOP三层协调规划模型。其中,上层以DG运营商单位容量年收益最大进行DG规划,中层以配电公司年综合成本最小进行SOP规划,下层以配电网络损耗最小优化系统运行状态。采用场景分析技术解决DG出力不确定性问题,提出改进灰狼算法与二阶锥规划混合算法求解模型。最后,以IEEE 33节点系统为例验证规划模型与求解算法的可行性。

, authors=张江, 刘谦, 李毓林, 陈义林, 蒋航, authorsList=张江, 刘谦, 李毓林, 陈义林, 蒋航, authorCompany=null, correspAuthors=刘谦, authorNote=

张江(1998— ),男,硕士。研究方向:分布式电源并网规划。E-mail:。

李毓林(1998— ),男,硕士。研究方向:新能源出力预测。E-mail:。

陈义林(1997— ),男,硕士。研究方向:新能源储能运行规划。E-mail:。

蒋航(1999— ),男,硕士。研究方向:区块链。E-mail:。

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刘谦(1991— ),男,通信作者,博士,讲师。研究方向:电力系统分析。E-mail:。
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张江(1998— ),男,硕士。研究方向:分布式电源并网规划。E-mail:。

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张江(1998— ),男,硕士。研究方向:分布式电源并网规划。E-mail:。

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李毓林(1998— ),男,硕士。研究方向:新能源出力预测。E-mail:。

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李毓林(1998— ),男,硕士。研究方向:新能源出力预测。E-mail:。

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陈义林(1997— ),男,硕士。研究方向:新能源储能运行规划。E-mail:。

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陈义林(1997— ),男,硕士。研究方向:新能源储能运行规划。E-mail:。

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蒋航(1999— ),男,硕士。研究方向:区块链。E-mail:。

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蒋航(1999— ),男,硕士。研究方向:区块链。E-mail:。

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计及智能软开关的分布式电源优化配置研究
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张江 , 刘谦 , 李毓林 , 陈义林 , 蒋航
电源学报 | 建模与控制 2025,23(7): 96-104
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电源学报 |建模与控制 2025 , 23 (7) : 96 -104
计及智能软开关的分布式电源优化配置研究
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张江 , 刘谦 , 李毓林 , 陈义林 , 蒋航
作者信息
  • 三峡大学电气与新能源学院,宜昌 443002
通讯作者:
刘谦(1991— ),男,通信作者,博士,讲师。研究方向:电力系统分析。E-mail:。
作者简介:

张江(1998— ),男,硕士。研究方向:分布式电源并网规划。E-mail:。

李毓林(1998— ),男,硕士。研究方向:新能源出力预测。E-mail:。

陈义林(1997— ),男,硕士。研究方向:新能源储能运行规划。E-mail:。

蒋航(1999— ),男,硕士。研究方向:区块链。E-mail:。

Research on Optimal Configuration of Distributed Generations Considering Soft Open Point
Jiang ZHANG , Qian LIU , Yulin LI , Yilin CHEN , Hang JIANG
Affiliations
  • College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
出版时间: 2025-11-30 doi: 10.13234/j.issn.2095-2805.2025.7.96
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高渗透率分布式电源DG(distributed generation)的接入给主动配电网ADN(active distribution network)的运行带来了巨大挑战。考虑到智能软开关SOP(soft open point)在ADN中灵活高效的调节能力,提出了系统规划与运行优化相结合的DG与SOP三层协调规划模型。其中,上层以DG运营商单位容量年收益最大进行DG规划,中层以配电公司年综合成本最小进行SOP规划,下层以配电网络损耗最小优化系统运行状态。采用场景分析技术解决DG出力不确定性问题,提出改进灰狼算法与二阶锥规划混合算法求解模型。最后,以IEEE 33节点系统为例验证规划模型与求解算法的可行性。

主动配电网  /  智能软开关  /  分布式电源  /  改进灰狼算法

The access of high-penetration distributed generations (DGs) poses significant challenges to the operation of active distribution network (ADN). With the consideration of the flexible and efficient regulation capability of soft open point (SOP) in ADN, a three-layer coordinated planning model of DG and SOP was proposed, which was combined with system planning and operation optimization. The planning of DG was determined by maximizing the annual revenue of a DG operator in the upper layer, the planning of SOP was determined by minimizing the annual comprehensive cost of distribution companies in the middle layer, and the system operation condition was optimized by minimizing the loss of distribution network in the lower layer. The scenario analysis technology was utilized to deal with the randomness of DG output, and a hybrid algorithm based on improved grey wolf optimization algorithm and second-order cone programming was put forward to solve the model. Finally, an IEEE 33-node system was taken as an example to verify the feasibility of the planning model and the corresponding solving algorithm.

Active distribution network (ADN)  /  soft open point (SOP)  /  distributed generation (DG)  /  improved grey wolf optimization algorithm
张江, 刘谦, 李毓林, 陈义林, 蒋航. 计及智能软开关的分布式电源优化配置研究. 电源学报, 2025 , 23 (7) : 96 -104 . DOI: 10.13234/j.issn.2095-2805.2025.7.96
Jiang ZHANG, Qian LIU, Yulin LI, Yilin CHEN, Hang JIANG. Research on Optimal Configuration of Distributed Generations Considering Soft Open Point[J]. Journal of Power Supply, 2025 , 23 (7) : 96 -104 . DOI: 10.13234/j.issn.2095-2805.2025.7.96

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2025年第23卷第7期
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doi: 10.13234/j.issn.2095-2805.2025.7.96
  • 接收时间:2022-09-22
  • 首发时间:2026-10-26
  • 出版时间:2025-11-30
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  • 收稿日期:2022-09-22
  • 修回日期:2023-04-03
  • 录用日期:2023-05-08
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    三峡大学电气与新能源学院,宜昌 443002

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刘谦(1991— ),男,通信作者,博士,讲师。研究方向:电力系统分析。E-mail:。
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2种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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