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Bond graph based modeling for parameter identification of photovoltaic module

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  • Madi, Saida
  • Kheldoun, Aissa

Abstract

This work introduces a mathematical model for photovoltaic module based on manufacturing datasheet, ambient temperature and solar irradiation. This mathematical model of photovoltaic module is applied to its single diode equivalent electrical circuit using bond graph methodology. The developed model allows identifying the PV module's five parameters without going through an iterative process. In this work all the parameters of the photovoltaic module are given as a function of both ambient temperature and recorded solar irradiation. To prove the accuracy of the proposed model comparisons are done at standard test conditions as well as at random climate conditions using experimental data. Obtained results show that the proposed bond graph based identification method is very effective when fast computation of PV model parameters is needed.

Suggested Citation

  • Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
  • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:1456-1465
    DOI: 10.1016/j.energy.2017.11.077
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    1. Carrero, C. & Ramírez, D. & Rodríguez, J. & Platero, C.A., 2011. "Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve," Renewable Energy, Elsevier, vol. 36(11), pages 2972-2977.
    2. Ciulla, Giuseppina & Lo Brano, Valerio & Di Dio, Vincenzo & Cipriani, Giovanni, 2014. "A comparison of different one-diode models for the representation of I–V characteristic of a PV cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 684-696.
    3. Silvano Vergura, 2016. "A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation," Energies, MDPI, vol. 9(5), pages 1-12, April.
    4. 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.
    5. Javier Cubas & Santiago Pindado & Carlos De Manuel, 2014. "Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function," Energies, MDPI, vol. 7(7), pages 1-18, June.
    6. Hultmann Ayala, Helon Vicente & Coelho, Leandro dos Santos & Mariani, Viviana Cocco & Askarzadeh, Alireza, 2015. "An improved free search differential evolution algorithm: A case study on parameters identification of one diode equivalent circuit of a solar cell module," Energy, Elsevier, vol. 93(P2), pages 1515-1522.
    7. Carrero, C. & Rodríguez, J. & Ramírez, D. & Platero, C., 2010. "Simple estimation of PV modules loss resistances for low error modelling," Renewable Energy, Elsevier, vol. 35(5), pages 1103-1108.
    8. 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.
    9. 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.
    10. Jordehi, A. Rezaee, 2016. "Parameter estimation of solar photovoltaic (PV) cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 354-371.
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    1. Qais, Mohammed H. & Hasanien, Hany M. & Alghuwainem, Saad, 2020. "Parameters extraction of three-diode photovoltaic model using computation and Harris Hawks optimization," Energy, Elsevier, vol. 195(C).

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