{"title":"A Technical Review on Artificial Intelligence Optimization Techniques Used for Micro Grid Planning","authors":"R. Ahirwar, P. Paliwal, T. Thakur","doi":"10.1109/APSIT52773.2021.9641172","DOIUrl":null,"url":null,"abstract":"The optimal component sizing constitutes an important element of micro-grid planning. The determination of generator and storage capacity is a constrained, non-linear, combinatorial optimization problem. In this paper, a comprehensive review of different optimization techniques reported in literature has been presented. The techniques have been discussed in this paper are artificial intelligence based approaches. Critical analysis of different artificial intelligence optimization techniques has been discussed. A systematic assessment of different optimization techniques based on different parameters has been presented. An effort has been made to highlight the pros and cons of various approaches in order to enable the identification of suitable optimization technique for a particular problem.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"39 8A 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIT52773.2021.9641172","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
The optimal component sizing constitutes an important element of micro-grid planning. The determination of generator and storage capacity is a constrained, non-linear, combinatorial optimization problem. In this paper, a comprehensive review of different optimization techniques reported in literature has been presented. The techniques have been discussed in this paper are artificial intelligence based approaches. Critical analysis of different artificial intelligence optimization techniques has been discussed. A systematic assessment of different optimization techniques based on different parameters has been presented. An effort has been made to highlight the pros and cons of various approaches in order to enable the identification of suitable optimization technique for a particular problem.