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Artificial bee swarm optimization algorithm for parameters identification of solar cell models

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  • Askarzadeh, Alireza
  • Rezazadeh, Alireza

Abstract

An accurate mathematical model is an extremely helpful tool for simulation, evaluation, control, and optimization of solar cell systems. Due to the non-linearity of the solar cell models and the inability of traditional optimization methods to accurately identify the unknown parameters, recently, metaheuristic algorithms have attracted significant attention. Artificial bee swarm optimization (ABSO) is a recently invented algorithm inspired by the intelligent behaviors of honey bees such as collection and processing of nectar. In this paper, we propose an ABSO-based parameter identification technique based on the single and double diode models for a 57mm diameter commercial (R.T.C. France) silicon solar cell. The results obtained by ABSO algorithm are quite promising and outperform those found by the other studied methods.

Suggested Citation

  • Askarzadeh, Alireza & Rezazadeh, Alireza, 2013. "Artificial bee swarm optimization algorithm for parameters identification of solar cell models," Applied Energy, Elsevier, vol. 102(C), pages 943-949.
    • Handle: RePEc:eee:appene:v:102:y:2013:i:c:p:943-949
    DOI: 10.1016/j.apenergy.2012.09.052
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    References listed on IDEAS

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