An Improved Oblique Asymptote Method for Parameter Identification of PV Panels

A single-diode model is the most important and broadly used tool for PV module design and analysis. The model has 5 parameters to be identified from the I-V characteristics curves. However, due to the lack of explicit form of I or V with the unknown 5 parameters, parameter identification is very difficult. Recent progress in PV model identification are discussed in this paper with the simulation of MATLAB against the measured data from a real PV module. An improved Oblique Asymptote Method is then proposed and compared with existing identification methods. Test results show that the proposed method achieves lower RMSE with less knowledge of I - V data points.

[1]  Meiying Ye,et al.  Parameter extraction of solar cells using particle swarm optimization , 2009 .

[2]  F. Javier Toledo,et al.  Two-Step Linear Least-Squares Method For Photovoltaic Single-Diode Model Parameters Extraction , 2018, IEEE Transactions on Industrial Electronics.

[3]  J. M. Blanes,et al.  Analytical and quasi-explicit four arbitrary point method for extraction of solar cell single-diode model parameters , 2016 .

[4]  Teuku Meurah Indra Mahlia,et al.  Characterization of PV panel and global optimization of its model parameters using genetic algorithm , 2013 .

[5]  J. M. Blanes,et al.  Geometric properties of the single-diode photovoltaic model and a new very simple method for parameters extraction , 2014 .

[6]  J. Gray.  The Physics of the Solar Cell , 2011 .

[7]  D. Maskell,et al.  Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm , 2013 .

[8]  A. Sellami,et al.  Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction , 2010 .

[9]  Hui Du,et al.  A Linear Identification of Diode Models from Single I-V Characteristics of PV Panels , 2015, IEEE Trans. Ind. Electron..

[10]  Yun Li,et al.  Solar Cell Modeling and Parameter Optimization Using Simulated Annealing , 2008 .

[11]  Wenyin Gong,et al.  Parameter extraction of solar cell models using repaired adaptive differential evolution , 2013 .

[12]  Dinesh C. S. Bisht,et al.  A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm , 2015 .

[13]  J. Jervase,et al.  Solar cell parameter extraction using genetic algorithms , 2001 .

[14]  Zhen Ye,et al.  A linear method to extract diode model parameters of solar panels from a single I–V curve , 2015 .

[15]  Kashif Ishaque,et al.  An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE) , 2011 .