Parameter extraction of solar cell models using mutative-scale parallel chaos optimization algorithm

Abstract To simulate solar cell systems or to optimize photovoltaic (PV) system performance, accurate parameter values of solar cell systems are extremely crucial. In this article, the parameter extraction of solar cell models is posed as an optimization process with an objective function minimizing the difference between the measured values and estimated data. A mutative-scale parallel chaos optimization algorithm (MPCOA) using crossover operation and merging operation is proposed for this optimization problem. To verify the performance of MPCOA, it is applied to extract the parameters of different solar cell models, i.e., double diode, single diode, and PV module. Comparison results with other parameter extraction techniques are in favor of the MPCOA, which signifies its potential as another optional method.

[1]  Hassan Fathabadi,et al.  Novel neural-analytical method for determining silicon/plastic solar cells and modules characteristics , 2013 .

[2]  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 .

[3]  A. Kapoor,et al.  Solar cell array parameters using Lambert W-function , 2006 .

[4]  W. Choi,et al.  A novel parameter extraction method for the one-diode solar cell model , 2010 .

[5]  Wei Zhou,et al.  A novel model for photovoltaic array performance prediction , 2007 .

[6]  Giacomo Capizzi,et al.  A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module , 2012, ArXiv.

[7]  M. Chegaar,et al.  Organic and inorganic solar cells parameters evaluation from single I–V plot , 2008 .

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

[9]  M. F. AlHajri,et al.  A new estimation approach for determining the I–V characteristics of solar cells , 2011 .

[10]  Syafaruddin,et al.  Fuzzy wavelet network identification of optimum operating point of non-crystalline silicon solar cells , 2012, Comput. Math. Appl..

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

[12]  A. Kapoor,et al.  A new approach to study organic solar cell using Lambert W-function , 2005 .

[13]  E. Muljadi,et al.  A cell-to-module-to-array detailed model for photovoltaic panels , 2012 .

[14]  Jae Hyun Kim,et al.  Extraction of diode parameters of silicon solar cells under high illumination conditions , 2013 .

[15]  J. Phillips,et al.  A comparative study of extraction methods for solar cell model parameters , 1986 .

[16]  Yaonan Wang,et al.  Hybrid parallel chaos optimization algorithm with harmony search algorithm , 2014, Appl. Soft Comput..

[17]  Mutlu Boztepe,et al.  Neural network based solar cell model , 2006 .

[18]  H. Bayhan,et al.  A simple approach to determine the solar cell diode ideality factor under illumination , 2011 .

[19]  Lele Peng,et al.  A new method for determining the characteristics of solar cells , 2013 .

[20]  Shu-xian Lun,et al.  A new explicit I–V model of a solar cell based on Taylor’s series expansion , 2013 .

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

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

[23]  Giuseppe Marco Tina,et al.  Comparison of different metaheuristic algorithms for parameter identification of photovoltaic cell/module , 2013 .

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

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

[26]  Hui Wang,et al.  Improved parallel chaos optimization algorithm , 2012, Appl. Math. Comput..

[27]  A. Ortiz-Conde,et al.  Extraction of non-ideal junction model parameters from the explicit analytic solutions of its I–V characteristics , 2005 .

[28]  S. Karmalkar,et al.  A Physically Based Explicit $J$ – $V$ Model of a Solar Cell for Simple Design Calculations , 2008, IEEE Electron Device Letters.

[29]  Bing Li,et al.  Optimizing Complex Functions by Chaos Search , 1998, Cybern. Syst..

[30]  M. F. AlHajri,et al.  Optimal extraction of solar cell parameters using pattern search , 2012 .

[31]  Takashi Okamoto,et al.  Global optimization using a multipoint type quasi-chaotic optimization method , 2013, Appl. Soft Comput..

[32]  J C Patra,et al.  Chebyshev Neural Network-Based Model for Dual-Junction Solar Cells , 2011, IEEE Transactions on Energy Conversion.

[33]  Jilei Zhou,et al.  Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization , 2014, Commun. Nonlinear Sci. Numer. Simul..

[34]  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 .

[35]  M. AbdulHadi,et al.  Neuro-fuzzy-based solar cell model , 2004, IEEE Transactions on Energy Conversion.

[36]  Jagdish C. Patra,et al.  Neural network‐based model for dual‐junction solar cells , 2011 .

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

[38]  Benjamin Y. H. Liu,et al.  The interrelationship and characteristic distribution of direct, diffuse and total solar radiation , 1960 .

[39]  Saad Mekhilef,et al.  Parameter extraction of solar photovoltaic modules using penalty-based differential evolution , 2012 .

[40]  G. Cheng,et al.  On the efficiency of chaos optimization algorithms for global optimization , 2007 .

[41]  S. Karmalkar,et al.  An Analytical Method to Extract the Physical Parameters of a Solar Cell From Four Points on the Illuminated $J{-}V$ Curve , 2009, IEEE Electron Device Letters.

[42]  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.

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

[44]  A. Das.  Analytical derivation of explicit J–V model of a solar cell from physics based implicit model , 2012 .

[45]  Yifeng Chen,et al.  Parameters extraction from commercial solar cells I-V characteristics and shunt analysis , 2011 .

[46]  Abderrezak Guessoum,et al.  A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison , 2012 .

[47]  T. Easwarakhanthan,et al.  Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers , 1986 .

[48]  Marcello Artioli,et al.  Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis , 2010 .

[49]  Javier Cubas,et al.  On the analytical approach for modeling photovoltaic systems behavior , 2014 .

[50]  Yuan Xiaofang,et al.  Parameter selection of support vector machine for function approximation based on chaos optimization , 2008 .

[51]  Alessandra Di Gangi,et al.  A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data , 2013 .

[52]  Shu-xian Lun,et al.  An explicit approximate I–V characteristic model of a solar cell based on padé approximants , 2013 .