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Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve

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  • Carrero, C.
  • Ramírez, D.
  • Rodríguez, J.
  • Platero, C.A.

Abstract

Currently there are different methods to estimate the parameters necessary to model a PV cell or generator. The simplest ones are based on reducing the number of parameters, disregarding some of them or assigning an initial value. These methods use simple equations, often obtained empirically, and very easy calculations. Usually, the results are simple approximations, for which reason they must be considered unreliable.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:11:p:2972-2977
    DOI: 10.1016/j.renene.2011.04.001
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    References listed on IDEAS

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    1. 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.
    2. 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.
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    2. Farhoodnea, Masoud & Mohamed, Azah & Khatib, Tamer & Elmenreich, Wilfried, 2015. "Performance evaluation and characterization of a 3-kWp grid-connected photovoltaic system based on tropical field experimental results: new results and comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1047-1054.
    3. Martin Libra & Vladislav Poulek & Pavel Kouřím, 2017. "Temperature changes of I-V characteristics of photovoltaic cells as a consequence of the Fermi energy level shift," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 63(1), pages 10-15.
    4. Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
    5. Li, W. & Paul, M.C. & Baig, H. & Siviter, J. & Montecucco, A. & Mallick, T.K. & Knox, A.R., 2019. "A three-point-based electrical model and its application in a photovoltaic thermal hybrid roof-top system with crossed compound parabolic concentrator," Renewable Energy, Elsevier, vol. 130(C), pages 400-415.
    6. Carrero, C. & Ramirez, D. & Rodríguez, J. & Castillo-Sierra, R., 2021. "Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation," Renewable Energy, Elsevier, vol. 173(C), pages 351-361.
    7. Toledo, F.J. & Blanes, José M. & Galiano, V. & Laudani, A., 2021. "In-depth analysis of single-diode model parameters from manufacturer’s datasheet," Renewable Energy, Elsevier, vol. 163(C), pages 1370-1384.
    8. Kumar, Manish & Malik, Prashant & Chandel, Rahul & Chandel, Shyam Singh, 2023. "Development of a novel solar PV module model for reliable power prediction under real outdoor conditions," Renewable Energy, Elsevier, vol. 217(C).
    9. Vincenzo Franzitta & Aldo Orioli & Alessandra Di Gangi, 2017. "Assessment of the Usability and Accuracy of Two-Diode Models for Photovoltaic Modules," Energies, MDPI, vol. 10(4), pages 1-32, April.
    10. Aly, Shahzada Pamir & Ahzi, Said & Barth, Nicolas, 2019. "An adaptive modelling technique for parameters extraction of photovoltaic devices under varying sunlight and temperature conditions," Applied Energy, Elsevier, vol. 236(C), pages 728-742.
    11. Ayang, Albert & Wamkeue, René & Ouhrouche, Mohand & Djongyang, Noël & Essiane Salomé, Ndjakomo & Pombe, Joseph Kessel & Ekemb, Gabriel, 2019. "Maximum likelihood parameters estimation of single-diode model of photovoltaic generator," Renewable Energy, Elsevier, vol. 130(C), pages 111-121.
    12. Chen, Zhicong & Wu, Lijun & Lin, Peijie & Wu, Yue & Cheng, Shuying, 2016. "Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy," Applied Energy, Elsevier, vol. 182(C), pages 47-57.
    13. Li, W. & Paul, M.C. & Rolley, M. & Sweet, T. & Gao, M. & Siviter, J. & Montecucco, A. & Knox, A.R. & Baig, H. & Mallick, T.K. & Fernandez, E.F. & Han, G. & Gregory, D.H. & Azough, F. & Freer, R., 2017. "A scaling law for monocrystalline PV/T modules with CCPC and comparison with triple junction PV cells," Applied Energy, Elsevier, vol. 202(C), pages 755-771.
    14. Nader Anani & Haider Ibrahim, 2020. "Adjusting the Single-Diode Model Parameters of a Photovoltaic Module with Irradiance and Temperature," Energies, MDPI, vol. 13(12), pages 1-17, June.
    15. Efstratios Batzelis, 2019. "Non-Iterative Methods for the Extraction of the Single-Diode Model Parameters of Photovoltaic Modules: A Review and Comparative Assessment," Energies, MDPI, vol. 12(3), pages 1-26, January.

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