Evaluation and Extraction of Electrical Parameters of Different Photovoltaic Models Using Iterative Methods

Authors B. Benabdelkrim1,2, A. Benatillah2, T. Ghaitaoui2,3

1Department of Material Sciences, Institute of Science and Technology, University of Ahmed Draia, Adrar, Algeria

2Laboratory of Energy, Environment and Systems of Information (LEESI), University Ahmed Draia Adrar, Algeria

3Unité de Recherche en Energies Renouvelables en Milieu Saharien, URERMS, Centre de Développement des Energies Renouvelables, CDER, 01000, Adrar, Algéria

Е-mail benaekbouchra@gmail.com
Issue Volume 11, Year 2019, Number 5
Dates Received 04 April 2019; revised manuscript received 20 October 2019; published online 25 October 2019
Citation B. Benabdelkrim, A. Benatillah, T. Ghaitaoui, J. Nano- Electron. Phys. 11 No 5, 05008 (2019)
DOI https://doi.org/10.21272/jnep.11(5).05008
PACS Number(s) 88.40.hj
Keywords PV Modules, Single-diode model, Two-diode model, Performance I-V curves, Parameter extraction.

The photovoltaic (PV) module is typically represented by an equivalent circuit whose parameters are calculated using the experimental current-voltage (I-V) characteristic. These parameters are crucial to predict accurate performance of a PV module. The precise determination of these parameters remains a challenge for researchers, which led to a diversification in models and numerical methods used for its computation. These parameters of the proposed solar PV moduls have been calculated using an efficient iterative technique. In this study, two mathematical models are used (single and double diode models) to extract the unknown parameters at standard test conditions (STC) of three different types of PV module technologies (multicrystalline, monocrystalline, and thin-film). A MATLAB simulation based comparative performance analysis of these models under different climatic conditions and the effect of variations in model parameters has been carried out. The results obtained showed a good agreement with the results obtained experimentally as well as these models are highly sensitive and respond to any variation of climatic conditions (temperature, irradiance).

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