Extraction of the unknown Parameters of a Photovoltaic Module from Manufacture Data Sheet
Mokhtar Said El-Negamy1, Abeer Galal2, G.M. El-Bayoumi3
1Mokhtar Said El-Negamy, Department of Electrical Engineering, Faculty of Engineering Fayoum University, Fayoum, Egypt.
2Abeer Galal, Department of Electrical Engineering, Faculty of Engineering Fayoum University, Fayoum, Egypt.
3G.M. El-Bayoumi, Department of Aerospace Engineering, Faculty of Engineering, Cairo University, Giza, Egypt.
Manuscript received on August 26, 2015. | Revised Manuscript received on September 05, 2015. | Manuscript published on September 15, 2015. | PP: 6-13 | Volume-3 Issue-10, September 2015. | Retrieval Number: J09330931015/2015©BEIESP
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© The Authors. Published By: 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: This paper represents an approach to identify the parameters of the equivalent circuit of a photovoltaic (PV) module and other parameters that are needed to determine the performance characteristics of the module. The proposed approach is based on the remarkable points given by the manufacture datasheet and considering the effect of irradiance and temperature change on the PV module characteristics. The implementation of this method in MATLAB® script provides the model parameters which have to minimize as soon as possible the error involved between the calculated and measured output current. The proposed approach explains the relation which governs the exchange in the series resistance, shunt resistance, the light photo current, and the maximum power of the PV module due to the variation of the cell temperature. The used model is implemented as a MATLAB® script which yields the I-V and P-V characteristics of the PV panel under variations of cell temperature and solar irradiance. The formulated model results were validated with rated power output of a photovoltaic module provided by manufacturers using local meteorological data, which gave error for MSP290AS module and error for MSMD290AS module at standard test condition. It is found that the proposed model is more practical in terms of precise estimations of photovoltaic module power output for any required location and number of variables used.
Keywords: Photovoltaic model, Parameters Estimation, manufacture data.