{"title":"可靠的氢基独立风力/光伏发电系统的优化设计","authors":"A. Kaviani, G. Riahy, S.M. Kouhsarj","doi":"10.1109/OPTIM.2008.4602442","DOIUrl":null,"url":null,"abstract":"A hybrid wind/photovoltaic/fuel cell generation system is designed to supply power demand. The aim of this design is minimization of overall cost of generation scheme over 20 years of operation. Optimization problem is subject to reliable supply of demand. The system components and radiation and wind speed datasets are assumed to be fully deterministic. System costs involve investments, operation and maintenance as well as loss of load costs. Prices are all unfeigned and components are commercially available. Wind and radiation datascts arc for northwest region of Iran. An advanced variation of Particle Swarm Optimization algorithm is used to solve the optimization problem.","PeriodicalId":244464,"journal":{"name":"2008 11th International Conference on Optimization of Electrical and Electronic Equipment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Optimal design of a reliable hydrogen-based stand-alone wind/PV generation system\",\"authors\":\"A. Kaviani, G. Riahy, S.M. Kouhsarj\",\"doi\":\"10.1109/OPTIM.2008.4602442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A hybrid wind/photovoltaic/fuel cell generation system is designed to supply power demand. The aim of this design is minimization of overall cost of generation scheme over 20 years of operation. Optimization problem is subject to reliable supply of demand. The system components and radiation and wind speed datasets are assumed to be fully deterministic. System costs involve investments, operation and maintenance as well as loss of load costs. Prices are all unfeigned and components are commercially available. Wind and radiation datascts arc for northwest region of Iran. An advanced variation of Particle Swarm Optimization algorithm is used to solve the optimization problem.\",\"PeriodicalId\":244464,\"journal\":{\"name\":\"2008 11th International Conference on Optimization of Electrical and Electronic Equipment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 11th International Conference on Optimization of Electrical and Electronic Equipment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OPTIM.2008.4602442\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th International Conference on Optimization of Electrical and Electronic Equipment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM.2008.4602442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal design of a reliable hydrogen-based stand-alone wind/PV generation system
A hybrid wind/photovoltaic/fuel cell generation system is designed to supply power demand. The aim of this design is minimization of overall cost of generation scheme over 20 years of operation. Optimization problem is subject to reliable supply of demand. The system components and radiation and wind speed datasets are assumed to be fully deterministic. System costs involve investments, operation and maintenance as well as loss of load costs. Prices are all unfeigned and components are commercially available. Wind and radiation datascts arc for northwest region of Iran. An advanced variation of Particle Swarm Optimization algorithm is used to solve the optimization problem.
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