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New Approach for Photovoltaic Parameters Extraction for Low-Cost Electronic Devices

Author

Listed:
  • Andrés Firman

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Cesar Prieb

    (LABSOL Laboratório de Energia Solar, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, Porto Alegre 9500, Brazil)

  • Alexis Raúl González Mayans

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Manuel Cáceres

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Luis Horacio Vera

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Juan de la Casa Higueras

    (IDEA Solar Energy Research Group, Electronics and Automation Engineering Department, University of Jaén, Las Lagunillas Campus, 23071 Jaén, Spain)

Abstract

This work proposes a new five-parameter model equation for PV devices, which operates as a function of the main representative parameters of PV devices. It is specifically developed for implementation in embedded systems. The methodology presented in this work is notable due to the fact that three of the five parameters can be directly extracted from the experimental current–voltage ( I – V ) curve, simplifying the iterative process until a pre-set small difference in the determination of the maximum power is achieved. The iterative methodology for extracting the remaining parameters is also described. The proposed methodology is verified by applying it to seven different PV technologies, including crystalline and thin-film technologies. Its parameters are compared with those obtained using the highly precise trust region iterative method. The resulting parameters and the error in the adjustment along the I – V curve are discussed. This methodology demonstrates the capability to accurately adjust the model along the entire I – V curve, determine the maximum power, and is not dependent on highly variable parameters.

Suggested Citation

  • Andrés Firman & Cesar Prieb & Alexis Raúl González Mayans & Manuel Cáceres & Luis Horacio Vera & Juan de la Casa Higueras, 2023. "New Approach for Photovoltaic Parameters Extraction for Low-Cost Electronic Devices," Energies, MDPI, vol. 16(13), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4956-:d:1179696
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    References listed on IDEAS

    as
    1. 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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    3. Piliougine, M. & Guejia-Burbano, R.A. & Petrone, G. & Sánchez-Pacheco, F.J. & Mora-López, L. & Sidrach-de-Cardona, M., 2021. "Parameters extraction of single diode model for degraded photovoltaic modules," Renewable Energy, Elsevier, vol. 164(C), pages 674-686.
    4. Ameur, Arechkik & Berrada, Asmae & Bouaichi, Abdellatif & Loudiyi, Khalid, 2022. "Long-term performance and degradation analysis of different PV modules under temperate climate," Renewable Energy, Elsevier, vol. 188(C), pages 37-51.
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    6. Yilmaz, Pelin & Schmitz, Jurriaan & Theelen, Mirjam, 2022. "Potential induced degradation of CIGS PV systems: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
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