{"title":"光伏太阳能电池的逼真建模:一个简单而精确的双二极管模型","authors":"Jordan Nafack Nihako, Elie Simo, Derrick Duclos Abada Essouma, Maëlle Nanmegne Leutchouang, Christel Roseny Atteutsia Tsakem, Christelle Yolande Tchienou Tchienou, Jimy Synclair Kenhago Watia, Pierre-Olivier Logerais, Joseph Marae Djouda","doi":"10.1002/appl.70010","DOIUrl":null,"url":null,"abstract":"<p>Photovoltaic modules are determinant in producing sustainable energy with a reduced environmental impact. This article explores the progressive modeling of photovoltaic modules, from the straightforward but approximate one-diode model to the more accurate but more complex two-diode model. It focuses on the parameters to be considered and the judicious choice of hypotheses to obtain electrical behavior close to that obtained experimentally for different environmental conditions. A reverse coupled saturation current and the Newton−Raphson method are both used for theoretical calculation and the simulation, respectively. Simulations show that the root mean square error (RMSE) on the I–V curves is reduced by 11.2% for irradiance of 1000 W/m² and by 28.3% on the P–V curves at 60°C. Additionally, the parallel resistance estimated with the two-diode model is lower than with the single-diode model (310 to 110.8 Ω), indicating a better consideration of leakage currents. Although the computation time is increased by around 40%, the improvement in accuracy justifies this added complexity. In conclusion, the study confirms the relevance of the two-diode model for a more realistic representation of photovoltaic module performance under various environmental conditions.</p>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70010","citationCount":"0","resultStr":"{\"title\":\"Realistic Modeling of Photovoltaic Solar Cell: A Simple and Accurate Two-Diode Model\",\"authors\":\"Jordan Nafack Nihako, Elie Simo, Derrick Duclos Abada Essouma, Maëlle Nanmegne Leutchouang, Christel Roseny Atteutsia Tsakem, Christelle Yolande Tchienou Tchienou, Jimy Synclair Kenhago Watia, Pierre-Olivier Logerais, Joseph Marae Djouda\",\"doi\":\"10.1002/appl.70010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Photovoltaic modules are determinant in producing sustainable energy with a reduced environmental impact. This article explores the progressive modeling of photovoltaic modules, from the straightforward but approximate one-diode model to the more accurate but more complex two-diode model. It focuses on the parameters to be considered and the judicious choice of hypotheses to obtain electrical behavior close to that obtained experimentally for different environmental conditions. A reverse coupled saturation current and the Newton−Raphson method are both used for theoretical calculation and the simulation, respectively. Simulations show that the root mean square error (RMSE) on the I–V curves is reduced by 11.2% for irradiance of 1000 W/m² and by 28.3% on the P–V curves at 60°C. Additionally, the parallel resistance estimated with the two-diode model is lower than with the single-diode model (310 to 110.8 Ω), indicating a better consideration of leakage currents. Although the computation time is increased by around 40%, the improvement in accuracy justifies this added complexity. In conclusion, the study confirms the relevance of the two-diode model for a more realistic representation of photovoltaic module performance under various environmental conditions.</p>\",\"PeriodicalId\":100109,\"journal\":{\"name\":\"Applied Research\",\"volume\":\"4 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70010\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/appl.70010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/appl.70010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realistic Modeling of Photovoltaic Solar Cell: A Simple and Accurate Two-Diode Model
Photovoltaic modules are determinant in producing sustainable energy with a reduced environmental impact. This article explores the progressive modeling of photovoltaic modules, from the straightforward but approximate one-diode model to the more accurate but more complex two-diode model. It focuses on the parameters to be considered and the judicious choice of hypotheses to obtain electrical behavior close to that obtained experimentally for different environmental conditions. A reverse coupled saturation current and the Newton−Raphson method are both used for theoretical calculation and the simulation, respectively. Simulations show that the root mean square error (RMSE) on the I–V curves is reduced by 11.2% for irradiance of 1000 W/m² and by 28.3% on the P–V curves at 60°C. Additionally, the parallel resistance estimated with the two-diode model is lower than with the single-diode model (310 to 110.8 Ω), indicating a better consideration of leakage currents. Although the computation time is increased by around 40%, the improvement in accuracy justifies this added complexity. In conclusion, the study confirms the relevance of the two-diode model for a more realistic representation of photovoltaic module performance under various environmental conditions.