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  • 标题:Solar Photovoltaic Cell Parameters Extraction Using Differential Evolution Algorithm
  • 本地全文:下载
  • 作者:Rachid Herbazi ; Youssef Kharchouf ; Khalid Amechnoue
  • 期刊名称:Proceedings
  • 电子版ISSN:2504-3900
  • 出版年度:2020
  • 卷号:54
  • 期号:40
  • 页码:43
  • DOI:10.3390/proceedings2020063043
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:This work presents a method for extracting parameters from photovoltaic (PV) solar cells, based on the three critical points of the current-voltage (I-V) characteristic, i.e., the short-circuit current, the open circuit voltage and the maximum power point (MPP). The method is developed in the Python programming language using differential evolution (DE) and a three-point curve fitting approach. It shows a good precision with root mean square error (RMSE), for different solar cells, lower than to those cited in the literature. In addition, the method is tested based on the measurements of a solar cell in the Faculty of Science and Technology of Tangier (FSTT) laboratory, thus giving a good agreement between the measured data and those calculated (i.e., RMSE = 7.26 × 10−4) with fewer iterations for convergence.
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