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A procedure to evaluate the seven parameters of the two-diode model for photovoltaic modules

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  • Orioli, Aldo
  • Di Gangi, Alessandra

Abstract

The paper presents an analytical procedure to calculate the seven parameters of the two-diode model of photovoltaic (PV) panels for any value of the solar irradiance and cell temperature. Six parameters (the photocurrent, the diode reverse saturation currents, the quality factor of the first diode and the series and shunt resistances), are evaluated by solving the equations related to the properties of the main points of the current-voltage (I-V) characteristics. The further information, necessary to calculate the entire set of seven truly independent parameters, is based on two conditions that have to be simultaneously satisfied: 1) the exclusion of negative values of the model parameters; 2) the minimization of the difference between the diode quality factors, which permits to obtain more precise I-V curves of the PV modules. A method to extend the application of the two-diode model to conditions that are different from the standard rating conditions (SRC) is presented.

Suggested Citation

  • Orioli, Aldo & Di Gangi, Alessandra, 2019. "A procedure to evaluate the seven parameters of the two-diode model for photovoltaic modules," Renewable Energy, Elsevier, vol. 139(C), pages 582-599.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:582-599
    DOI: 10.1016/j.renene.2019.02.122
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Meyer, E.L & van Dyk, E.E, 2003. "Characterization of degradation in thin-film photovoltaic module performance parameters," Renewable Energy, Elsevier, vol. 28(9), pages 1455-1469.
    4. Aldo Orioli & Alessandra Di Gangi, 2016. "A Criterion for Rating the Usability and Accuracy of the One-Diode Models for Photovoltaic Modules," Energies, MDPI, vol. 9(6), pages 1-48, June.
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    Cited by:

    1. Tifidat, Kawtar & Maouhoub, Noureddine, 2023. "An efficient method for predicting PV modules performance based on the two-diode model and adaptable to the single-diode model," Renewable Energy, Elsevier, vol. 216(C).
    2. Li, Chenxi & Yang, Yongheng & Spataru, Sergiu & Zhang, Kanjian & Wei, Haikun, 2021. "A robust parametrization method of photovoltaic modules for enhancing one-diode model accuracy under varying operating conditions," Renewable Energy, Elsevier, vol. 168(C), pages 764-778.
    3. Tekai Eddine Khalil Zidane & Mohd Rafi Adzman & Mohammad Faridun Naim Tajuddin & Samila Mat Zali & Ali Durusu & Saad Mekhilef, 2020. "Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria," Energies, MDPI, vol. 13(11), pages 1-28, June.
    4. Mousavi, Navid & Kothapalli, Ganesh & Habibi, Daryoush & Das, Choton K. & Baniasadi, Ali, 2020. "A novel photovoltaic-pumped hydro storage microgrid applicable to rural areas," Applied Energy, Elsevier, vol. 262(C).
    5. Vincenzo Stornelli & Mirco Muttillo & Tullio de Rubeis & Iole Nardi, 2019. "A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels," Energies, MDPI, vol. 12(22), pages 1-20, November.
    6. Chennoufi, Khalid & Ferfra, Mohammed & Mokhlis, Mohcine, 2021. "An accurate modelling of Photovoltaic modules based on two-diode model," Renewable Energy, Elsevier, vol. 167(C), pages 294-305.

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