L. D. Murillo-Soto, Geovanni Figueroa-Mata, Carlos Meza
{"title":"Identification of the Internal Resistance in Solar Modules Under Dark Conditions Using Differential Evolution Algorithm","authors":"L. D. Murillo-Soto, Geovanni Figueroa-Mata, Carlos Meza","doi":"10.1109/IWOBI.2018.8464197","DOIUrl":null,"url":null,"abstract":"One of the main concern of the maintenance operation in solar plants is the early identification of faults in solar panels. Several faults in solar panels reflects on the variation of its internal resistance. This work presents and validates a differential evolution algorithm that is capable of identifying the changes on the internal resistance of photo-voltaic (PV) modules under dark conditions. Such algorithm enables the automated test of PV modules during the night, when the identification operations do not affect the PV installation energy generation.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWOBI.2018.8464197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
One of the main concern of the maintenance operation in solar plants is the early identification of faults in solar panels. Several faults in solar panels reflects on the variation of its internal resistance. This work presents and validates a differential evolution algorithm that is capable of identifying the changes on the internal resistance of photo-voltaic (PV) modules under dark conditions. Such algorithm enables the automated test of PV modules during the night, when the identification operations do not affect the PV installation energy generation.
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