Estimation of Solar Cell Equivalent Circuit Parameters for Photovoltaic Module Using Differential Evolution Algorithm

Mohamed Nuri Hussin (1) , Ibrahim Nasir (1) , Ahmed Hamza (1)
(1) Renewable Energy Department, Faculty of Engineering, Sebha University, Libya

Abstract

The accurate estimation of solar module parameters is crucial for predicting the energy production of photovoltaic modules under different environmental conditions. In this paper, we present an approach for estimating the optimum parameters of a one-diode model using the Differential Evolution (DE) algorithm implemented in MATLAB. Our system enables the determination of these parameters at any solar irradiance and module temperature conditions, making it easy to apply the model for predicting the energy production of a photovoltaic module. The results demonstrate that the DE algorithm can estimate the parameters accurately. The numerical estimation technique based on a mathematical algorithm approximately fits all the points on the I-V curve at various environmental conditions. This work is a valuable tool for improving solar cells’ performance and efficiency and applies to many photovoltaic applications.

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Authors

Mohamed Nuri Hussin
moh.emhamed@sebhau.edu.ly (Primary Contact)
Ibrahim Nasir
Ahmed Hamza
Estimation of Solar Cell Equivalent Circuit Parameters for Photovoltaic Module Using Differential Evolution Algorithm. (2023). Journal of Pure & Applied Sciences , 22(3), 31-34. https://doi.org/10.51984/jopas.v22i3.2732

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How to Cite

Estimation of Solar Cell Equivalent Circuit Parameters for Photovoltaic Module Using Differential Evolution Algorithm. (2023). Journal of Pure & Applied Sciences , 22(3), 31-34. https://doi.org/10.51984/jopas.v22i3.2732

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