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A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels

Author

Listed:
  • Vincenzo Stornelli

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100, 67100 L’Aquila, Italy)

  • Mirco Muttillo

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100, 67100 L’Aquila, Italy)

  • Tullio de Rubeis

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100, 67100 L’Aquila, Italy)

  • Iole Nardi

    (Agenzia nazionale per le nuove tecnologie, l’energia e lo sviluppo economico sostenibile (ENEA), 00123 S.M. Di Galeria, 00100 Rome, Italy)

Abstract

This work proposes a new simplified five-parameter estimation method for a single-diode model of photovoltaic panels. The method, based on an iterative algorithm, is able to estimate the parameter of the electrical single-diode model from the panel’s datasheet. Two iterative steps are used to estimate the five parameters starting from data provided by the manufacturer (nameplate values or I–V curves). The first step permits finding the optimal value of the diode ideality factor A , and the second step allows the calculation of the R p value to improve the accuracy. A model that takes into account variations in temperature and solar irradiance has been used to validate the behavior of the output parameters. Compared to other estimation work, the proposed method shows the best result in the standard test condition (STC) and with a variable solar irradiance. Indeed, the optimization of the A , R s , and R p parameters allows guaranteeing the minimum error between I–V curves obtained from method and datasheet.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4271-:d:285126
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    References listed on IDEAS

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    Cited by:

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    2. Denis Pelin & Matej Žnidarec & Damir Šljivac & Andrej Brandis, 2020. "Fast Power Emulation Approach to the Operation of Photovoltaic Power Plants Made of Different Module Technologies," Energies, MDPI, vol. 13(22), pages 1-17, November.
    3. Chao-Ming Huang & Shin-Ju Chen & Sung-Pei Yang, 2022. "A Parameter Estimation Method for a Photovoltaic Power Generation System Based on a Two-Diode Model," Energies, MDPI, vol. 15(4), pages 1-16, February.
    4. Liu, Yun & Heidari, Ali Asghar & Ye, Xiaojia & Liang, Guoxi & Chen, Huiling & He, Caitou, 2021. "Boosting slime mould algorithm for parameter identification of photovoltaic models," Energy, Elsevier, vol. 234(C).

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