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Extraction Of Illuminated Solar Cell And Schottky Diode Parameters Using A Genetic Algorithm

Author

Listed:
  • A. SELLAI

    (Physics Department, Sultan Qaboos University, P. O. Box 36, Al-Khod, 123, Sultanate of Oman)

  • Z. OUENNOUGHI

    (Physics Department, Ferhat-Abbas University, Setif, 19600, Algeria)

Abstract

Details concerning the implementation of a versatile genetic algorithm are presented. Solar cell and Schottky diode model parameters are extracted based on the fitness of experimental data to theoretical curves simulated in the framework of certain physical processes and the use of this genetic algorithm. The method is shown to be a reliable alternative to conventional numerical techniques in fitting experimental data to model calculations and the subsequent determination of model related parameters. It is demonstrated, through two examples in particular, that some of the drawbacks associated with the conventional methods can be circumvented if a genetic algorithm is used instead. For instance, a good initial guess is not a critical requirement for convergence and an initial broad range for each of the fitting parameters is enough to achieve reasonably good fits.

Suggested Citation

  • A. Sellai & Z. Ouennoughi, 2005. "Extraction Of Illuminated Solar Cell And Schottky Diode Parameters Using A Genetic Algorithm," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(07), pages 1043-1050.
    • Handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:07:n:s0129183105007704
    DOI: 10.1142/S0129183105007704
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    Cited by:

    1. Patel, Sanjaykumar J. & Panchal, Ashish K. & Kheraj, Vipul, 2014. "Extraction of solar cell parameters from a single current–voltage characteristic using teaching learning based optimization algorithm," Applied Energy, Elsevier, vol. 119(C), pages 384-393.

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