Simulated Annealing algorithm for photovoltaic parameters identification

Abstract A Simulated Annealing based approach is proposed in this paper for optimal estimation of solar cell model parameters. Different solar cell models, namely single diode, double diode, and photovoltaic module, are used in this study to verify the proposed approach outcomes. The developed technique is used to solve a transcendental function that governs the current–voltage relationship of a solar cell, as no direct general analytical solution exists. Several cases were investigated to test and validate the consistency of accurately estimating various parameters of different solar cell models. Comparative study among different parameter estimation techniques is presented to show the effectiveness of the developed approach. Furthermore, statistical analyses are carried out to measure the accuracy of the estimated parameters and model suitability.

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

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

[3]  E. V. Dyk,et al.  Local device parameter extraction of a concentrator photovoltaic cell under solar spot illumination , 2010 .

[4]  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 .

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

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

[7]  M. Wolf,et al.  Investigation of the double exponential in the current—Voltage characteristics of silicon solar cells , 1977, IEEE Transactions on Electron Devices.

[8]  Z. Ouennoughi,et al.  Determination of Solar Cells Parameters under Illuminated Conditions , 2003 .

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

[10]  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.

[11]  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.

[12]  Mohamed A. El-Sharkawi,et al.  Modern heuristic optimization techniques :: theory and applications to power systems , 2008 .

[13]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[14]  Weidong Xiao,et al.  Real-Time Identification of Optimal Operating Points in Photovoltaic Power Systems , 2006, IEEE Transactions on Industrial Electronics.

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

[16]  V. Cerný Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .

[17]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.