高光伏渗透率配电网络中多点布局分布式储能的双层规划方法

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Yukai Wei, Bo Zhao, Juan Hu, Xiaolong Xiao, Mingming Shi, Qi Zhou
{"title":"高光伏渗透率配电网络中多点布局分布式储能的双层规划方法","authors":"Yukai Wei, Bo Zhao, Juan Hu, Xiaolong Xiao, Mingming Shi, Qi Zhou","doi":"10.1007/s42835-024-01945-1","DOIUrl":null,"url":null,"abstract":"<p>In the planning of energy storage system (ESS) in distribution network with high photovoltaic penetration, in order to fully tap the regulation ability of distributed energy storage and achieve economic and stable operation of the distribution network, a two-layer planning method of distributed energy storage multi-point layout is proposed. Combining with the operation characteristic model of energy storage battery (ESB), a multi-point energy storage collaborative operation strategy considering the service life of ESB is proposed. A planning-operation two-layer model is constructed, in which the outer layer considers the total cost of ESS planning to determine the layout point number and capacity of ESS, and the inner layer focuses on the utilization rate of ESB and the operation stability of distribution network. The hybrid particle swarm optimization and non-dominated sorting genetic algorithm is used to solve the planning and operation results of distributed energy storage multi-point layout. Example analysis shows that after configuring a multi-point layout ESS, the total planning cost decreases by 20.25%, the utilization rate of ESB increases to over 50%, and the voltage fluctuation and loss rate of the distribution network decrease by 19.09% and 11.76%, respectively.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Two-Layer Planning Method for Distributed Energy Storage with Multi-point Layout in High Photovoltaic Penetration Distribution Network\",\"authors\":\"Yukai Wei, Bo Zhao, Juan Hu, Xiaolong Xiao, Mingming Shi, Qi Zhou\",\"doi\":\"10.1007/s42835-024-01945-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In the planning of energy storage system (ESS) in distribution network with high photovoltaic penetration, in order to fully tap the regulation ability of distributed energy storage and achieve economic and stable operation of the distribution network, a two-layer planning method of distributed energy storage multi-point layout is proposed. Combining with the operation characteristic model of energy storage battery (ESB), a multi-point energy storage collaborative operation strategy considering the service life of ESB is proposed. A planning-operation two-layer model is constructed, in which the outer layer considers the total cost of ESS planning to determine the layout point number and capacity of ESS, and the inner layer focuses on the utilization rate of ESB and the operation stability of distribution network. The hybrid particle swarm optimization and non-dominated sorting genetic algorithm is used to solve the planning and operation results of distributed energy storage multi-point layout. Example analysis shows that after configuring a multi-point layout ESS, the total planning cost decreases by 20.25%, the utilization rate of ESB increases to over 50%, and the voltage fluctuation and loss rate of the distribution network decrease by 19.09% and 11.76%, respectively.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-01945-1\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-01945-1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

在光伏发电渗透率较高的配电网储能系统(ESS)规划中,为充分挖掘分布式储能的调节能力,实现配电网的经济稳定运行,提出了分布式储能多点布局的双层规划方法。结合储能电池(ESB)的运行特性模型,提出了考虑 ESB 使用寿命的多点储能协同运行策略。构建了规划-运行双层模型,外层考虑储能电池规划的总成本,确定储能电池的布局点数和容量,内层重点考虑储能电池的利用率和配电网的运行稳定性。采用混合粒子群优化和非支配排序遗传算法求解分布式储能多点布局的规划和运行结果。实例分析表明,配置多点布局ESS后,总规划成本降低了20.25%,ESB利用率提高到50%以上,配电网电压波动率和损耗率分别降低了19.09%和11.76%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Two-Layer Planning Method for Distributed Energy Storage with Multi-point Layout in High Photovoltaic Penetration Distribution Network

A Two-Layer Planning Method for Distributed Energy Storage with Multi-point Layout in High Photovoltaic Penetration Distribution Network

In the planning of energy storage system (ESS) in distribution network with high photovoltaic penetration, in order to fully tap the regulation ability of distributed energy storage and achieve economic and stable operation of the distribution network, a two-layer planning method of distributed energy storage multi-point layout is proposed. Combining with the operation characteristic model of energy storage battery (ESB), a multi-point energy storage collaborative operation strategy considering the service life of ESB is proposed. A planning-operation two-layer model is constructed, in which the outer layer considers the total cost of ESS planning to determine the layout point number and capacity of ESS, and the inner layer focuses on the utilization rate of ESB and the operation stability of distribution network. The hybrid particle swarm optimization and non-dominated sorting genetic algorithm is used to solve the planning and operation results of distributed energy storage multi-point layout. Example analysis shows that after configuring a multi-point layout ESS, the total planning cost decreases by 20.25%, the utilization rate of ESB increases to over 50%, and the voltage fluctuation and loss rate of the distribution network decrease by 19.09% and 11.76%, respectively.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信