{"title":"基于模糊逻辑和粒子群优化的光伏系统最大功率控制方法","authors":"Yufeng Hu, Jun Liu, Bin Liu","doi":"10.1109/ISDEA.2012.404","DOIUrl":null,"url":null,"abstract":"In the view of the fact that if crystalline silicon cell's photovoltaic system used for power output can not be controlled, it is hard to grantee the maximum power output, which will cause energy dissipation and high cost. Regarding the PV inverter system as a platform, while the controlling of crystalline silicon as a research object, the paper presents the MPPT control algorithm based on fuzzy logic and particle swarm optimization, which arrives at the maximum power tracking.","PeriodicalId":267532,"journal":{"name":"2012 Second International Conference on Intelligent System Design and Engineering Application","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A MPPT Control Method of PV System Based on Fuzzy Logic and Particle Swarm Optimization\",\"authors\":\"Yufeng Hu, Jun Liu, Bin Liu\",\"doi\":\"10.1109/ISDEA.2012.404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the view of the fact that if crystalline silicon cell's photovoltaic system used for power output can not be controlled, it is hard to grantee the maximum power output, which will cause energy dissipation and high cost. Regarding the PV inverter system as a platform, while the controlling of crystalline silicon as a research object, the paper presents the MPPT control algorithm based on fuzzy logic and particle swarm optimization, which arrives at the maximum power tracking.\",\"PeriodicalId\":267532,\"journal\":{\"name\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDEA.2012.404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Second International Conference on Intelligent System Design and Engineering Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDEA.2012.404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A MPPT Control Method of PV System Based on Fuzzy Logic and Particle Swarm Optimization
In the view of the fact that if crystalline silicon cell's photovoltaic system used for power output can not be controlled, it is hard to grantee the maximum power output, which will cause energy dissipation and high cost. Regarding the PV inverter system as a platform, while the controlling of crystalline silicon as a research object, the paper presents the MPPT control algorithm based on fuzzy logic and particle swarm optimization, which arrives at the maximum power tracking.
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