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A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel

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  • Bastidas-Rodriguez, J.D.
  • Petrone, G.
  • Ramos-Paja, C.A.
  • Spagnuolo, G.

Abstract

In this paper the identification of the single-diode model of photovoltaic (PV) generators operating in outdoor conditions has been carried out. The non-linear equation system, describing the PV source in five operating points, is re-written as an optimization problem and it is solved by using a genetic algorithm. The parameters of the single-diode model are evaluated for different combinations of irradiance and temperature conditions. Contrary to several approaches proposed in literature such analysis shows that all the parameters need to be adjusted with respect to the environmental conditions to reduce the errors in the current, power and energy predictions.

Suggested Citation

  • Bastidas-Rodriguez, J.D. & Petrone, G. & Ramos-Paja, C.A. & Spagnuolo, G., 2017. "A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 38-54.
    • Handle: RePEc:eee:matcom:v:131:y:2017:i:c:p:38-54
    DOI: 10.1016/j.matcom.2015.10.008
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    1. Lo Brano, Valerio & Ciulla, Giuseppina, 2013. "An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data," Applied Energy, Elsevier, vol. 111(C), pages 894-903.
    2. van Dyk, E.E. & Meyer, E.L., 2004. "Analysis of the effect of parasitic resistances on the performance of photovoltaic modules," Renewable Energy, Elsevier, vol. 29(3), pages 333-344.
    3. Orioli, Aldo & Di Gangi, Alessandra, 2013. "A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data," Applied Energy, Elsevier, vol. 102(C), pages 1160-1177.
    4. Ishaque, Kashif & Salam, Zainal & Mekhilef, Saad & Shamsudin, Amir, 2012. "Parameter extraction of solar photovoltaic modules using penalty-based differential evolution," Applied Energy, Elsevier, vol. 99(C), pages 297-308.
    5. 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.
    6. AlHajri, M.F. & El-Naggar, K.M. & AlRashidi, M.R. & Al-Othman, A.K., 2012. "Optimal extraction of solar cell parameters using pattern search," Renewable Energy, Elsevier, vol. 44(C), pages 238-245.
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    Cited by:

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