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  Scopus ID: 21100926589

Extraction of Monocrystalline Silicon Photovoltaic Panel Parameters Based on Experimental Data

S. Jenkal, M. Oubella, S. Mouslim, M. Ajaâmoum and M. Saidi Hassani Alaoui

Abstract

The aim of this work is to develop models that reproduce highly precise I-V (Current-voltage) curves of photovoltaic (PV) panels, regardless of the temperature and sunlight conditions, using an experimental database installed at the PV PARK of Benguerir city, that allow the record an up to date current-voltage characteristics (I-V) of the PV. This paper presents three modeling approaches that simulate the PV arrays, two are classic models determined by the electrical behavior of the PV cell, while the last is based on experimental modeling using the LUT (Look up tables) arrays and shows the performances results of the current-voltage characteristic obtained by the modeling approaches. To estimate the experimental parameters, we used the robust optimization algorithm Levenberg-Marquardt system, and a model based on the adaptive inference system ANFIS (Neuro-fuzzy adaptive inference systems) is developed to solve the problem of estimating of the experimental voltages Voc and Vmp. We used MATLAB/ SIMULINK to build the mathematical model, and the experimental database is used to validate these models under Moroccan meteorological conditions.

Published on: September 29, 2023
doi: 10.17756/nwj.2023-s2-078
Citation: Jenkal S, Oubella M, Mouslim S, Ajaâmoum M, Alaoui MSH. 2023. Extraction of Monocrystalline Silicon Photovoltaic Panel Parameters Based on Experimental Data. NanoWorld J 9(S2): S460-S465.

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