{"title":"Analysis of fly-back PV micro-inverter and optimizing control system using Finite Gradient Descent Method","authors":"Mahshid Khoshlessan, B. Asaei, B. Farhangi","doi":"10.1109/OPTIM.2015.7427011","DOIUrl":null,"url":null,"abstract":"High efficiency and minimum components of the interleaved micro-inverter make them popular in industry. In this paper, a micro-inverter is designed for a 240 W panel in which a high speed MPPT algorithm is implemented in order to keep the reliability of the control system. Moreover, the associated control system is completely described. An optimizing method is applied to the interleaved micro-inverter, to minimize the error function as the cost function. This can be obtained by leading the control system coefficients toward descending the cost function gradient. The effectiveness of this method is verified through simulations.","PeriodicalId":69201,"journal":{"name":"城市设计","volume":"22 1","pages":"287-292"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"城市设计","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/OPTIM.2015.7427011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
High efficiency and minimum components of the interleaved micro-inverter make them popular in industry. In this paper, a micro-inverter is designed for a 240 W panel in which a high speed MPPT algorithm is implemented in order to keep the reliability of the control system. Moreover, the associated control system is completely described. An optimizing method is applied to the interleaved micro-inverter, to minimize the error function as the cost function. This can be obtained by leading the control system coefficients toward descending the cost function gradient. The effectiveness of this method is verified through simulations.