Method for Cluster Partition of Distributed Generation Considering Flexible Supply and Demand Balance and Response Speed

Jingjing Zhao, Jiongda Zhu, Ran Jia, Shuai Liu, Chang Ye
{"title":"Method for Cluster Partition of Distributed Generation Considering Flexible Supply and Demand Balance and Response Speed","authors":"Jingjing Zhao, Jiongda Zhu, Ran Jia, Shuai Liu, Chang Ye","doi":"10.1109/SPIES52282.2021.9633798","DOIUrl":null,"url":null,"abstract":"Under the circumstances of the massive scale DG(Distributed Generation) accessed to the power grid, unprecedented challenges to peak and frequency regulation of the power system are brought up. With the purpose of improving the ability of DG to participate in frequency control of power grid, a cluster partitioning method of DG cluster considering the balance of supply and demand of flexibility and response speed is proposed. First, the impact of wind and solar power on the load is analyzed, and the ability of DG and loads in the cluster to provide flexibility for the system is studied; second, a comprehensive index combining the supply-demand balance index, response speed index and modularity index is proposed and the GA(Genetic Algorithm) is used to divide the DG clusters; finally, to proof the effectiveness, the proposed clustering method were applicated to the IEEE33 bus system.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Under the circumstances of the massive scale DG(Distributed Generation) accessed to the power grid, unprecedented challenges to peak and frequency regulation of the power system are brought up. With the purpose of improving the ability of DG to participate in frequency control of power grid, a cluster partitioning method of DG cluster considering the balance of supply and demand of flexibility and response speed is proposed. First, the impact of wind and solar power on the load is analyzed, and the ability of DG and loads in the cluster to provide flexibility for the system is studied; second, a comprehensive index combining the supply-demand balance index, response speed index and modularity index is proposed and the GA(Genetic Algorithm) is used to divide the DG clusters; finally, to proof the effectiveness, the proposed clustering method were applicated to the IEEE33 bus system.
考虑灵活供需平衡和响应速度的分布式发电集群划分方法
在分布式发电大规模接入电网的情况下,对电力系统的调峰调频提出了前所未有的挑战。为了提高DG参与电网频率控制的能力,提出了一种考虑灵活性和响应速度的供需平衡的DG集群分簇方法。首先,分析了风电和太阳能发电对负荷的影响,研究了集群中DG和负荷为系统提供灵活性的能力;其次,提出了结合供需平衡指标、响应速度指标和模块化指标的综合指标,并采用遗传算法对分布式集群进行划分;最后,将该方法应用于IEEE33总线系统,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信