{"title":"Optimal sizing of a stand-alone PV/wind/MHP/biomass based hybrid energy system using PSO algorithm","authors":"Anurag Chauhan, V. Dwivedi","doi":"10.1109/CERA.2017.8343292","DOIUrl":null,"url":null,"abstract":"In remote areas, local generating plant based on renewable energy sources has been received a greater attention to meet the energy demand. Renewable energy sources (small hydro, solar, wind, biomass etc.) have the sufficient potential in India. Utilizing these sources in stand-alone mode is an appropriate choice for energy access in local areas. The present paper deals with the size optimization of a stand-alone PV/Wind/MHP/Biomass based hybrid energy system for un-electrified village hamlets of Indian state of Uttarakhand. Further, three renewable energy scenarios are considered under the present study. Finally, a simple and efficient Particle Swarm Optimization (PSO) algorithm has been used to optimize the total annual cost (TAC) for each scenario. Expected energy not supplied (EENS) is incorporated as a power reliability constraint while optimal sizing of the system components.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERA.2017.8343292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In remote areas, local generating plant based on renewable energy sources has been received a greater attention to meet the energy demand. Renewable energy sources (small hydro, solar, wind, biomass etc.) have the sufficient potential in India. Utilizing these sources in stand-alone mode is an appropriate choice for energy access in local areas. The present paper deals with the size optimization of a stand-alone PV/Wind/MHP/Biomass based hybrid energy system for un-electrified village hamlets of Indian state of Uttarakhand. Further, three renewable energy scenarios are considered under the present study. Finally, a simple and efficient Particle Swarm Optimization (PSO) algorithm has been used to optimize the total annual cost (TAC) for each scenario. Expected energy not supplied (EENS) is incorporated as a power reliability constraint while optimal sizing of the system components.