Zhuhang Zhuo, Junjie Yang, F. Hu, Kaixu Yang, Naifan Xue
{"title":"Two-Stage Optimized Dispatch Strategy of AC/DC Hybrid Microgrid under Uncertainty","authors":"Zhuhang Zhuo, Junjie Yang, F. Hu, Kaixu Yang, Naifan Xue","doi":"10.1109/ICSAI48974.2019.9010541","DOIUrl":null,"url":null,"abstract":"Considering that the operation of microgrid is susceptible to various uncertain factors and the current trend of increasing DC load ratio, this paper proposed a two-stage optimized dispatch strategy for the AC/DC hybrid microgrid. Firstly, the time of use (TOU) power price are applied to coordinate the renewable energy, storage batteries, and transferable load output to formulate a daily dispatch plan. In addition, in order to reduce the influence of uncertainty factors, the interruptible load is introduced to correct the daily dispatch plan in real time. The improved non-dominated sorting genetic algorithm (NSGA-II) is used to realize the proposed strategy, and the effectiveness of the proposed strategy is verified in the example.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI48974.2019.9010541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Considering that the operation of microgrid is susceptible to various uncertain factors and the current trend of increasing DC load ratio, this paper proposed a two-stage optimized dispatch strategy for the AC/DC hybrid microgrid. Firstly, the time of use (TOU) power price are applied to coordinate the renewable energy, storage batteries, and transferable load output to formulate a daily dispatch plan. In addition, in order to reduce the influence of uncertainty factors, the interruptible load is introduced to correct the daily dispatch plan in real time. The improved non-dominated sorting genetic algorithm (NSGA-II) is used to realize the proposed strategy, and the effectiveness of the proposed strategy is verified in the example.