Parameter extraction of solar PV double diode model using artificial immune system

In this paper, a meta-heuristics algorithm based artificial immune system (AIS) is used for solar PV parameter estimation. A new objective function based on derivative of maximum power with respect to voltage for solar double diode model is proposed. For performance evaluation and validation of the proposed approach using AIS, the results are compared with Genetic algorithm (GA) and particle swarm optimization (PSO) for two different PV modules. The results prove that the proposed approach with AIS outperforms GA and PSO in terms of convergence speed and objective function value for both PV modules. The proposed formulation with AIS can be used for parameter extraction of panel with different make/models.

[1]  Kashif Ishaque,et al.  Simple, fast and accurate two-diode model for photovoltaic modules , 2011 .

[2]  A. K. Al-Othman,et al.  Simulated Annealing algorithm for photovoltaic parameters identification , 2012 .

[3]  F. Ghani,et al.  Numerical calculation of series and shunt resistances and diode quality factor of a photovoltaic cell using the Lambert W-function , 2013 .

[4]  A. Kapoor,et al.  Exact analytical solutions of the parameters of real solar cells using Lambert W-function , 2004 .

[5]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[6]  D. Chan,et al.  Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics , 1987, IEEE Transactions on Electron Devices.

[7]  Alireza Rezazadeh,et al.  Artificial bee swarm optimization algorithm for parameters identification of solar cell models , 2013 .

[8]  F. Ghani,et al.  Numerical calculation of series and shunt resistance of a photovoltaic cell using the Lambert W-function: Experimental evaluation , 2013 .

[9]  Alireza Rezazadeh,et al.  Extraction of maximum power point in solar cells using bird mating optimizer-based parameters identification approach , 2013 .

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

[11]  Huang Wei,et al.  Extracting solar cell model parameters based on chaos particle swarm algorithm , 2011, 2011 International Conference on Electric Information and Control Engineering.

[12]  Syafaruddin,et al.  A comprehensive MATLAB Simulink PV system simulator with partial shading capability based on two-diode model , 2011 .

[13]  Alon Kuperman,et al.  An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel , 2014 .

[14]  A. Ortiz-Conde,et al.  New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics , 2006 .

[15]  N. Rajasekar,et al.  Bacterial Foraging Algorithm based solar PV parameter estimation , 2013 .