{"title":"Multi-energy Microgrid Group Planning Hierarchical Collaborative Optimization Configuration","authors":"Jia Zhao, Wei Wang, Chuangxin Guo, Hua Feng","doi":"10.1109/ICoPESA54515.2022.9754434","DOIUrl":null,"url":null,"abstract":"Aiming at the environmental pressure and energy crisis in developing regions, this paper takes the regional energy supply system and each microgrid as the main body, and studies the multi-energy microgrid group collaborative planning method. The joint planning framework of the network group, through the benefits model to complete the parallel layer coupling solution in an all-round way. Secondly, the establishment of optimization, considering the user's active participation in market dispatch and load-side electricity price response, the multi-energy microgrid \"source storage-load\" interactive characteristics were modeled. Finally, the analytical target cascade(ATC) method is adopted, and the penalty function is introduced to solve the problem, to realize the autonomy of multi-microgrid groups, wide-area interaction, and cooperation, and the validity and effectiveness of the model are verified through simulation examples.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoPESA54515.2022.9754434","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
Aiming at the environmental pressure and energy crisis in developing regions, this paper takes the regional energy supply system and each microgrid as the main body, and studies the multi-energy microgrid group collaborative planning method. The joint planning framework of the network group, through the benefits model to complete the parallel layer coupling solution in an all-round way. Secondly, the establishment of optimization, considering the user's active participation in market dispatch and load-side electricity price response, the multi-energy microgrid "source storage-load" interactive characteristics were modeled. Finally, the analytical target cascade(ATC) method is adopted, and the penalty function is introduced to solve the problem, to realize the autonomy of multi-microgrid groups, wide-area interaction, and cooperation, and the validity and effectiveness of the model are verified through simulation examples.