{"title":"Parameters extraction of photovoltaic modules using a combined analytical - numerical method","authors":"Khalid Chennoufi, M. Ferfra","doi":"10.1109/CloudTech49835.2020.9365901","DOIUrl":null,"url":null,"abstract":"The modelling of solar modules is essential for the diagnostics, optimization and for Maximum Power Tracking algorithms. This article proposes a method to determine the five unknown parameters for single diode, in order to carry out a modelling of photovoltaic modules at different Operating Conditions. The present method integrates analytical and numerical approaches, the analytical modelling is developed based on the equations of the open circuit voltage (VOC) , short circuit current (ISC) and maximum power, and a fast iteration has been employed in order to find series resistance value by adjusting the computed and datasheet powers. The reliability of the obtained results has been compared with the literature, and the precision was evaluated using the curves fitting in various temperatures and irradiations values. The results show good corresponding, furthermore the absolute error and the Root Mean Square Error have been computed and affirmed the validity of the proposed approach.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudTech49835.2020.9365901","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
The modelling of solar modules is essential for the diagnostics, optimization and for Maximum Power Tracking algorithms. This article proposes a method to determine the five unknown parameters for single diode, in order to carry out a modelling of photovoltaic modules at different Operating Conditions. The present method integrates analytical and numerical approaches, the analytical modelling is developed based on the equations of the open circuit voltage (VOC) , short circuit current (ISC) and maximum power, and a fast iteration has been employed in order to find series resistance value by adjusting the computed and datasheet powers. The reliability of the obtained results has been compared with the literature, and the precision was evaluated using the curves fitting in various temperatures and irradiations values. The results show good corresponding, furthermore the absolute error and the Root Mean Square Error have been computed and affirmed the validity of the proposed approach.