Title: Numerical approach for parameter extraction of a photovoltaic module based on datasheet and five parameters model

Authors: Fatima Cheddadi; Youssef Cheddadi; Fatima Errahimi; Ahmed Gaga

Addresses: Laboratory of Georesources Renewables Energy and Intelligent Systems, FST, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' Laboratory of Renewables Energy and Intelligent Systems, FST, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' Laboratory of Renewables Energy and Intelligent Systems, FST, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' Laboratory of Renewables Energy and Intelligent Systems, FST, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Abstract: The information provided by the constructors is not sufficient for modelling PV panels, where there is a need to determine the unknown parameters to predict the performances and to facilitate a better understanding of the behaviour of a PV generator under the climatic conditions variation. This work presents a numerical method for determining the unknown parameters of a photovoltaic PV module based on the current-voltage characteristic provided by the manufacturers. This numerical method helps to model any PV generator and it allows us to study the static and dynamic performances of a PV system. In this paper, the operating principal of a PV module is described. The parameters which figure in the mathematical equation of a PV module are determined using MATLAB IDE in order to see the effect of climate change especially the effect of irradiance and temperature on the energy produced through graphical representations. The proposed method of extraction of the five unknown parameters is validated and compared with data given by the manufacturer for two different technologies, polycrystalline and monocrystalline PV module under various climatic conditions.

Keywords: photovoltaic system; parameter extraction; MATLAB IDE; polycrystalline module; monocrystalline module.

DOI: 10.1504/IJDSSS.2021.114559

International Journal of Digital Signals and Smart Systems, 2021 Vol.5 No.2, pp.167 - 181

Received: 19 Dec 2019
Accepted: 30 Mar 2020
Published online: 27 Apr 2021 *

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