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Experimental and Theoretical Validation of One Diode and Three Parameters–Based PV Models

Author

Listed:
  • Rui Castro

    (INESC-ID/IST, University of Lisbon, 1049-001 Lisbon, Portugal)

  • Miguel Silva

    (Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal)

Abstract

The present paper defines and assesses a new simplified method to represent the photovoltaic (PV) modules’ electrical behavior, based on the commonly used one diode and three parameters (1D + 3P) model, addressing two main objectives. The first one is to quantify and assess, at different operating conditions, the PV modules electrical behavior estimations’ accuracy provided by the well-known 1D + 3P, through a comparison based on experimental and theoretical results. The second one concerns the performance assessment of the 1D + 3P model’s suggested approximation, aiming at simplifying the mathematics instead of solving complex iterative equations, which hinges on higher computational time to obtain accurate results. Hence, experimental and theoretical data were considered, aiming at performing a thorough comparison with more than 17,000 PV modules being assessed, which was achieved by using both the California Energy Commission (CEC) database and PVsyst software. The findings show that the already known 1D + 3P model delivers satisfactory power output estimations for crystalline silicon modules and high irradiance conditions. However, its performance worsens when considering Low Irradiance and thin-film technology. In comparison with the original model, accurate results were obtained with the new simplified suggested 1D + 3P for all irradiance conditions and technologies assessed, thus proving its validity and capability of circumventing the aforementioned challenges.

Suggested Citation

  • Rui Castro & Miguel Silva, 2021. "Experimental and Theoretical Validation of One Diode and Three Parameters–Based PV Models," Energies, MDPI, vol. 14(8), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2140-:d:534182
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    References listed on IDEAS

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    1. 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.
    2. Rhouma, Mohamed B.H. & Gastli, Adel & Ben Brahim, Lazhar & Touati, Farid & Benammar, Mohieddine, 2017. "A simple method for extracting the parameters of the PV cell single-diode model," Renewable Energy, Elsevier, vol. 113(C), pages 885-894.
    3. 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.
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    Cited by:

    1. Bernardo Gonçalves & João F. P. Fernandes & João Paulo N. Torres & Ricardo A. Marques Lameirinhas, 2023. "Experimental Investigation and Modelling of Sediments Effect on the Performance of Cadmium Telluride Photovoltaic Panels," Energies, MDPI, vol. 16(12), pages 1-17, June.
    2. João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Catarina P. Correia V. Bernardo & Helena Isabel Veiga & Pedro Mendonça dos Santos, 2023. "A Discrete Electrical Model for Photovoltaic Solar Cells—d1MxP," Energies, MDPI, vol. 16(4), pages 1-14, February.
    3. João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Catarina Pinho Correia Valério Bernardo & Sofia Lima Martins & Pedro Mendonça dos Santos & Helena Isabel Veiga & Maria João Marques Martins & Pa, 2023. "Analysis of Different Third-Generation Solar Cells Using the Discrete Electrical Model d1MxP," Energies, MDPI, vol. 16(7), pages 1-12, April.
    4. Michel Piliougine & Paula Sánchez-Friera & Giovanni Spagnuolo, 2024. "Comparative of IEC 60891 and Other Procedures for Temperature and Irradiance Corrections to Measured I–V Characteristics of Photovoltaic Devices," Energies, MDPI, vol. 17(3), pages 1-67, January.
    5. Ricardo A. Marques Lameirinhas & João Paulo N. Torres & João P. de Melo Cunha, 2022. "A Photovoltaic Technology Review: History, Fundamentals and Applications," Energies, MDPI, vol. 15(5), pages 1-44, March.
    6. Abdelhady Ramadan & Salah Kamel & I. Hamdan & Ahmed M. Agwa, 2022. "A Novel Intelligent ANFIS for the Dynamic Model of Photovoltaic Systems," Mathematics, MDPI, vol. 10(8), pages 1-14, April.

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