Simulated Annealing algorithm for photovoltaic parameters identification

► A new application of SA for extracting the parameters of solar cell models. ► Comparison among different parameter estimation techniques is presented. ► Error and statistical analyses are carried out to validated SA outcomes. A Simulated Annealing based approach is proposed in this paper for optim...

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Bibliographic Details
Published in:Solar energy 2012-01, Vol.86 (1), p.266-274
Main Authors: El-Naggar, K.M., AlRashidi, M.R., AlHajri, M.F., Al-Othman, A.K.
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Applied sciences
Comparative studies
Direct energy conversion and energy accumulation
Effectiveness
Electrical engineering. Electrical power engineering
Electrical power engineering
Energy
Equipments, installations and applications
Exact sciences and technology
Natural energy
Parameter estimation
Photoelectric conversion
Photovoltaic
Photovoltaic cells
Photovoltaic conversion
Simulated Annealing
Solar cell
Solar cells. Photoelectrochemical cells
Solar energy
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Summary:► A new application of SA for extracting the parameters of solar cell models. ► Comparison among different parameter estimation techniques is presented. ► Error and statistical analyses are carried out to validated SA outcomes. 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.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2011.09.032