An approach for improving parameter extraction in PV solar cell models using metaheuristic algorithms

This paper presents a new method for parameter extraction in PV systems, specifically single- and three-junction solar modules. Our method simplifies the traditional complexity of parameter determination by reducing the number of variables and using metaheuristic algorithms. The number of parameters extracted using metaheuristic algorithms is three parameters: ideality factor, series resistance, and shunt resistance, while the remaining current parameters, photocurrent and saturation current, are found through the critical coordinates of IV curve: short-circuit current and open-circuit voltage, which helps to increase the exploratory and exploitative ability of the metaheuristic algorithm used. Different metaheuristic algorithms were used in this paper, and good results were obtained each time. For example, 3.89e-\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$-$$\end{document}7 A and 2.27e-\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$-$$\end{document}5 A were reached as RMSE values for mono and triple junction solar cells in periods not exceeding 5 s. This result and others highlight the potential of the proposed method to advance and improve the field of solar cell modeling, providing a flexible structure adaptable to evolving research needs.