Article(id=1322506839418327980, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322506677417521478, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.2.208, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1685894400000, receivedDateStr=2023-06-05, revisedDate=1693670400000, revisedDateStr=2023-09-03, acceptedDate=1698768000000, acceptedDateStr=2023-11-01, onlineDate=1793239801506, onlineDateStr=2026-10-29, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793239801506, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793239801506, creator=13701087609, updateTime=1793239801506, updator=13701087609, issue=Issue{id=1322506677417521478, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='2', pageStart='1', pageEnd='342', issueExtLink='null', onlineDate='null', pubDate='1772208000000', pubDateStr='2026-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793239762882, creator='13701087609', updateTime=1793239762882, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=208, endPage=215, ext={EN=ArticleExt(id=1322506839690957741, articleId=1322506839418327980, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Capacity Optimization of Hybrid Energy Storage Based on Improved Immune Particle Swarm Optimization Algorithm, columnId=1322506830719341418, journalTitle=Journal of Power Supply, columnName=AI and Power Electronics, runingTitle=null, highlight=null, articleAbstract=

To improve the economy and stability of microgrid operation, it is necessary to optimize the capacity of microgrid reasonably according to the meteorological information and load information. Under this background, a mathematical model of distributed power sources is established. According to the constraint conditions and operation strategy for the system, the number of distributed power sources is taken as an optimization variable, and the minimum total cost is taken as an objective function. The improved immune particle swarm optimization algorithm is used to optimize the capacity of microgrid. First, normal distribution is used for initialization, so as to increase the population diversity. Then, the nonlinear inertia factor, adaptive inertia weight and chaotic disturbance operator are used to improve the convergence speed and accuracy of the algorithm. Experimental results show that the proposed method is reasonable and can effectively reduce the investment cost, providing a reference value for the capacity optimization of microgrid.

, authors=Lianbing LI1, Lanchao WANG2, Ruixiong JING2, Yaze XIAO1, Shaobo YANG3, authorsList=Lianbing LI, Lanchao WANG, Ruixiong JING, Yaze XIAO, Shaobo YANG, authorCompany=null, correspAuthors=Lanchao 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=1322506840617898928, articleId=1322506839418327980, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于改进免疫粒子群算法的混合储能容量优化, columnId=1322506830924862316, journalTitle=电源学报, columnName=人工智能与电力电子, runingTitle=null, highlight=null, articleAbstract=

为了提高微电网运行的经济性和稳定性,需要根据气象信息和负荷信息对微电网的容量进行合理优化。为此,建立分布式电源的数学模型,根据系统的约束条件和运行策略,以分布式电源的数量作为优化变量,以总成本最低为目标函数,利用改进的免疫粒子群优化算法对微电网的容量进行优化。首先,利用正态分布进行初始化,增加种群多样性。然后,利用非线性惯性因子、自适应惯性权重和混沌扰动算子提高算法的收敛速度和收敛精度。实验结果表明,所提方法具有合理性,可以有效降低投资成本,为微电网的容量优化提供参考价值。

, authors=李练兵中国电源学会会员1, 王兰超2, 景睿雄2, 肖亚泽1, 杨少波3, authorsList=李练兵中国电源学会会员, 王兰超, 景睿雄, 肖亚泽, 杨少波, authorCompany=null, correspAuthors=王兰超, authorNote=

李练兵(1972— ),男,中国电源学会会员,博士,教授。研究方向:电力电子。E-mail:。

景睿雄(1999— ),男,硕士研究生。研究方向:新能源发电技术。E-mail:。

肖亚泽(1998— ),男,硕士研究生。研究方向:电力电子。E-mail:。

杨少波(1987— ),男,硕士,高级工程师。研究方向:储能技术。E-mail:。

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王兰超(1998— ),男,通信作者,硕士研究生。研究方向:电力电子。E-mail:。
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李练兵(1972— ),男,中国电源学会会员,博士,教授。研究方向:电力电子。E-mail:。

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李练兵(1972— ),男,中国电源学会会员,博士,教授。研究方向:电力电子。E-mail:。

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景睿雄(1999— ),男,硕士研究生。研究方向:新能源发电技术。E-mail:。

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景睿雄(1999— ),男,硕士研究生。研究方向:新能源发电技术。E-mail:。

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肖亚泽(1998— ),男,硕士研究生。研究方向:电力电子。E-mail:。

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肖亚泽(1998— ),男,硕士研究生。研究方向:电力电子。E-mail:。

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杨少波(1987— ),男,硕士,高级工程师。研究方向:储能技术。E-mail:。

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杨少波(1987— ),男,硕士,高级工程师。研究方向:储能技术。E-mail:。

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基于改进免疫粒子群算法的混合储能容量优化
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李练兵中国电源学会会员 1 , 王兰超 2 , 景睿雄 2 , 肖亚泽 1 , 杨少波 3
电源学报 | 人工智能与电力电子 2026,24(2): 208-215
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电源学报 |人工智能与电力电子 2026 , 24 (2) : 208 -215
基于改进免疫粒子群算法的混合储能容量优化
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李练兵中国电源学会会员1 , 王兰超2 , 景睿雄2 , 肖亚泽1 , 杨少波3
作者信息
  • 1.河北工业大学电气工程学院,天津 300130
  • 2.河北工业大学人工智能与数据科学学院,天津 300130
  • 3.国网河北省电力有限公司电力科学研究院,石家庄 050000
通讯作者:
王兰超(1998— ),男,通信作者,硕士研究生。研究方向:电力电子。E-mail:。
作者简介:

李练兵(1972— ),男,中国电源学会会员,博士,教授。研究方向:电力电子。E-mail:。

景睿雄(1999— ),男,硕士研究生。研究方向:新能源发电技术。E-mail:。

肖亚泽(1998— ),男,硕士研究生。研究方向:电力电子。E-mail:。

杨少波(1987— ),男,硕士,高级工程师。研究方向:储能技术。E-mail:。

Capacity Optimization of Hybrid Energy Storage Based on Improved Immune Particle Swarm Optimization Algorithm
Lianbing LI Member, CPSS1 , Lanchao WANG2 , Ruixiong JING2 , Yaze XIAO1 , Shaobo YANG3
Affiliations
  • 1.School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
  • 2.School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
  • 3.Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
出版时间: 2026-02-28 doi: 10.13234/j.issn.2095-2805.2026.2.208
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为了提高微电网运行的经济性和稳定性,需要根据气象信息和负荷信息对微电网的容量进行合理优化。为此,建立分布式电源的数学模型,根据系统的约束条件和运行策略,以分布式电源的数量作为优化变量,以总成本最低为目标函数,利用改进的免疫粒子群优化算法对微电网的容量进行优化。首先,利用正态分布进行初始化,增加种群多样性。然后,利用非线性惯性因子、自适应惯性权重和混沌扰动算子提高算法的收敛速度和收敛精度。实验结果表明,所提方法具有合理性,可以有效降低投资成本,为微电网的容量优化提供参考价值。

微电网  /  容量优化  /  改进免疫粒子群优化算法  /  经济性

To improve the economy and stability of microgrid operation, it is necessary to optimize the capacity of microgrid reasonably according to the meteorological information and load information. Under this background, a mathematical model of distributed power sources is established. According to the constraint conditions and operation strategy for the system, the number of distributed power sources is taken as an optimization variable, and the minimum total cost is taken as an objective function. The improved immune particle swarm optimization algorithm is used to optimize the capacity of microgrid. First, normal distribution is used for initialization, so as to increase the population diversity. Then, the nonlinear inertia factor, adaptive inertia weight and chaotic disturbance operator are used to improve the convergence speed and accuracy of the algorithm. Experimental results show that the proposed method is reasonable and can effectively reduce the investment cost, providing a reference value for the capacity optimization of microgrid.

Microgrid  /  capacity optimization  /  improved immune particle swarm optimization algorithm  /  economy
李练兵中国电源学会会员, 王兰超, 景睿雄, 肖亚泽, 杨少波. 基于改进免疫粒子群算法的混合储能容量优化. 电源学报, 2026 , 24 (2) : 208 -215 . DOI: 10.13234/j.issn.2095-2805.2026.2.208
Lianbing LI, Lanchao WANG, Ruixiong JING, Yaze XIAO, Shaobo YANG. Capacity Optimization of Hybrid Energy Storage Based on Improved Immune Particle Swarm Optimization Algorithm[J]. Journal of Power Supply, 2026 , 24 (2) : 208 -215 . DOI: 10.13234/j.issn.2095-2805.2026.2.208
  • 国网河北能源技术服务有限公司科技专项资助项目(TSS2021-08)
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2026年第24卷第2期
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doi: 10.13234/j.issn.2095-2805.2026.2.208
  • 接收时间:2023-06-05
  • 首发时间:2026-10-29
  • 出版时间:2026-02-28
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  • 收稿日期:2023-06-05
  • 修回日期:2023-09-03
  • 录用日期:2023-11-01
基金
Science and Technology Project of State Grid Hebei Energy Technology Service Co., Ltd.(TSS2021-08)
国网河北能源技术服务有限公司科技专项资助项目(TSS2021-08)
作者信息
    1.河北工业大学电气工程学院,天津 300130
    2.河北工业大学人工智能与数据科学学院,天津 300130
    3.国网河北省电力有限公司电力科学研究院,石家庄 050000

通讯作者:

王兰超(1998— ),男,通信作者,硕士研究生。研究方向:电力电子。E-mail:。
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2种不同金属材料的力学参数
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total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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