{"title":"Multi-objective Dynamic Network Reconstruction Method for Active Distribution Network Including Distributed Generation and Electric Vehicles","authors":"Chunyan Ma, Qing Duan, Haoqing Wang, Yi Mu","doi":"10.1109/CEEPE55110.2022.9783415","DOIUrl":null,"url":null,"abstract":"A large number of Distributed Generation (DG) access to the distribution network, which changes the power flow distribution of the distribution network, and the randomness of distributed generation and electric vehicle load also brings new problems to the network reconfiguration of the power grid. Aiming at the influence of distributed generation and electric vehicle access on distribution network, this paper aims at reducing node voltage deviation and active power loss, and introduces the optimal concept, using Multi-Objective Genetic Algorithm ( MOGA ) to reconstruct the distribution network. The IEEE33 node example is calculated and analyzed. The results show that this method can obtain a network structure with better steady-state economic operation capability and safe power supply capability.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783415","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
A large number of Distributed Generation (DG) access to the distribution network, which changes the power flow distribution of the distribution network, and the randomness of distributed generation and electric vehicle load also brings new problems to the network reconfiguration of the power grid. Aiming at the influence of distributed generation and electric vehicle access on distribution network, this paper aims at reducing node voltage deviation and active power loss, and introduces the optimal concept, using Multi-Objective Genetic Algorithm ( MOGA ) to reconstruct the distribution network. The IEEE33 node example is calculated and analyzed. The results show that this method can obtain a network structure with better steady-state economic operation capability and safe power supply capability.
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