Modelling photovoltaic modules by a numerical method and artificial neural networks

Zahra Meziani and Zohir Dibi

African Journal of Science, Technology, Innovation and Development, 2016, vol. 8, issue 4, 331-339

Abstract: This paper proposes modelling approaches for photovoltaic (PV) modules with a fast and simple numerical method of modelling, the Newton–Raphson method, as the first step. This method has several electric circuit models. We selected and tested the two most convincing models, the 1-D model and the 2-D model, and deduced that the 2-D model faithfully reproduces the curve I(V) of the PV module. This numerical model is used in the calculation of equation parameter extracts from the curve I(V) given in the standard test conditions (STC), but sometimes we don’t have all these parameters. Therefore, to achieve an appropriate characterisation of the behaviour of PV modules, we tested and validated, as a second step, the second method of modelling based on artificial intelligence and specifically artificial neural networks to deduce the I(V)STC curve through the ANN model, and in order to have a complete modelling for electrical PV modules.

Date: 2016
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DOI: 10.1080/20421338.2015.1118869

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