Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1312-268
Abstract
The objective of this paper is to estimate the values of five parameters ($A$, $R_{se}$, $ R_{sh}$, $ I_{LG}$, and $I_{sat})$ of a PV module more accurately and to extract the maximum power point (MPP) accurately under varying environmental conditions. Suitable new equations are proposed, by which the values of the series and shunt resistances are initialized in order to obtain good convergence speed in the Gauss--Seidel method. In this work, two new equations are proposed to find the ideality factor and shunt resistance and to obtain accurate MPP of the PV model under varying environmental conditions. The proposed PV model is validated at standard test conditions and under varying environmental conditions. Current--voltage and power--voltage characteristics of different PV modules are simulated using MATLAB. Accuracy of the proposed model is validated by comparing with the results of an adaptive neuro-fuzzy inference system and experimental data taken under varying environmental conditions.
Keywords
Photovoltaic (PV) module, PV modelling, five-parameter model, maximum power point (MPP)
First Page
2028
Last Page
2041
Recommended Citation
KAREEM, Mohamed Saleem ABDUL and SARAVANAN, MANIMARAN
(2016)
"A new method for accurate estimation of PV module parameters and extraction of maximum power point under varying environmental conditions,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24:
No.
4, Article 3.
https://doi.org/10.3906/elk-1312-268
Available at:
https://journals.tubitak.gov.tr/elektrik/vol24/iss4/3
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