{"title":"基于可再生能源的农村离网电气化混合发电方案","authors":"Alpesh M. Patel, S. K. Singal","doi":"10.1109/INDICON.2017.8487807","DOIUrl":null,"url":null,"abstract":"Recently, the renewable energy sources such as solar, wind, bio-energy and small hydropower are recognized as an acceptable solution for the off-grid rural electrification and proven as a substitute of uneconomical grid extension. However, single renewable energy source based application is quite costly and less reliable due to intermittent operating characteristics of major renewable energy sources. In this paper, hybrid power generation scheme has been presented using solar, wind, biomass and biogas energy sources for the off-grid rural electrification. The integrated renewable energy system model is developed and optimized using particle swarm optimization algorithm in MATLAB environment.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Renewable Energy Source based Hybrid Power Generation Scheme for Off-grid Rural Electrification\",\"authors\":\"Alpesh M. Patel, S. K. Singal\",\"doi\":\"10.1109/INDICON.2017.8487807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, the renewable energy sources such as solar, wind, bio-energy and small hydropower are recognized as an acceptable solution for the off-grid rural electrification and proven as a substitute of uneconomical grid extension. However, single renewable energy source based application is quite costly and less reliable due to intermittent operating characteristics of major renewable energy sources. In this paper, hybrid power generation scheme has been presented using solar, wind, biomass and biogas energy sources for the off-grid rural electrification. The integrated renewable energy system model is developed and optimized using particle swarm optimization algorithm in MATLAB environment.\",\"PeriodicalId\":263943,\"journal\":{\"name\":\"2017 14th IEEE India Council International Conference (INDICON)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th IEEE India Council International Conference (INDICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDICON.2017.8487807\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th IEEE India Council International Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2017.8487807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Renewable Energy Source based Hybrid Power Generation Scheme for Off-grid Rural Electrification
Recently, the renewable energy sources such as solar, wind, bio-energy and small hydropower are recognized as an acceptable solution for the off-grid rural electrification and proven as a substitute of uneconomical grid extension. However, single renewable energy source based application is quite costly and less reliable due to intermittent operating characteristics of major renewable energy sources. In this paper, hybrid power generation scheme has been presented using solar, wind, biomass and biogas energy sources for the off-grid rural electrification. The integrated renewable energy system model is developed and optimized using particle swarm optimization algorithm in MATLAB environment.