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New Method to Assess the Losses Parameters of the Photovoltaic Modules
M.Bencherif1, A. Chermitt2
1M. Bencherif, Department of Physics and the Laboratory of the Materials and Renewable Energies. University,  Algeria.
2A. Chermitti, Department of Institute of Technology in the Speciality Electronic and Automatism and the Laboratory of the Materials and Renewable Energies. University,  Algeria.
Manuscript received on September 27, 2012. | Revised Manuscript received on October 14, 2012. | Manuscript published on October 30, 2012. | PP: 215-224 | Volume-2 Issue-1, October 2012.  | Retrieval Number: A0802102112/2012©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The determination of an effective method able to estimate the parameters of a photovoltaic panel is essential for the development and the performance of analysis of such equipment. In this paper, we present a new simple and effective method in order to extract the parameters of the photovoltaic modules by using the standard diode model. This model requires that the five parameters be known, the photocurrent Iph, the reverse saturation current Is, the resistance Rs, the shunt resistance Rsh and the curve fitting parameter A (the ideality factor) or the thermal voltage a. For that we formulated an equation binding only the two losses parameters Rs and Rsh. In order to solve this equation and to determine the shunt resistance and the thermal voltage, we expose the computation models of the series resistance Rs, which give excellent approximations. While the other parameters Iph and Is depend exclusively on the parameters Rs, Rsh, a and the short circuit current Isc and the open circuit voltage Voc. This method is validated experimentally by three different flat plat PV modules of various technologies (Monocrystalline, polycrystalline and thin film panels) and manufacturers.
Keywords: Photovoltaic modelling; single diode model; parameters of the model; curves fitting.