S. Tafreshi, H. Zamani, S. M. Ezzati, M. Baghdadi, H. Vahedi
{"title":"Optimal unit sizing of Distributed Energy Resources in MicroGrid using genetic algorithm","authors":"S. Tafreshi, H. Zamani, S. M. Ezzati, M. Baghdadi, H. Vahedi","doi":"10.1109/IRANIANCEE.2010.5506961","DOIUrl":null,"url":null,"abstract":"In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"315 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th Iranian Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANCEE.2010.5506961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43
Abstract
In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.