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.