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Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm

Author

Listed:
  • Victor Arturo Martinez Lopez

    (Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands
    These authors contributed equally to this work.)

  • Ugnė Žindžiūtė

    (Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands
    These authors contributed equally to this work.)

  • Hesan Ziar

    (Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands)

  • Miro Zeman

    (Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands)

  • Olindo Isabella

    (Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands)

Abstract

Irradiance variability is one of the main challenges for using photovoltaic energy. This variability affects the operation of maximum power point trackers (MPPT) causing energy losses. The logic of the Perturb-and-Observe MPPT algorithm is particularly sensitive to quick irradiance changes. We quantified the existing relation between irradiance variations and efficiency loss of the logic of the Perturb-and-Observe MPPT algorithm, along with the sensitivity of the MPPT to its control parameters. If the algorithm parameters are not tuned properly, its efficiency will drop to nearly 2%. Irradiance variability causes a systematic energy loss of the algorithm that can only be quantified by ignoring the hardware components. With this, we aim to improve the energy yield estimation by providing an additional efficiency loss to be considered in the calculations.

Suggested Citation

  • Victor Arturo Martinez Lopez & Ugnė Žindžiūtė & Hesan Ziar & Miro Zeman & Olindo Isabella, 2022. "Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm," Energies, MDPI, vol. 15(20), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7562-:d:941427
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    References listed on IDEAS

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    1. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
    2. Calcabrini, Andres & Muttillo, Mirco & Weegink, Raoul & Manganiello, Patrizio & Zeman, Miro & Isabella, Olindo, 2021. "A fully reconfigurable series-parallel photovoltaic module for higher energy yields in urban environments," Renewable Energy, Elsevier, vol. 179(C), pages 1-11.
    3. Venkateswari, R. & Sreejith, S., 2019. "Factors influencing the efficiency of photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 376-394.
    4. Karami, Nabil & Moubayed, Nazih & Outbib, Rachid, 2017. "General review and classification of different MPPT Techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 1-18.
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    Cited by:

    1. Musong L. Katche & Augustine B. Makokha & Siagi O. Zachary & Muyiwa S. Adaramola, 2023. "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, MDPI, vol. 16(5), pages 1-23, February.
    2. Doaa Khodair & Saad Motahhir & Hazem H. Mostafa & Ahmed Shaker & Hossam Abd El Munim & Mohamed Abouelatta & Ahmed Saeed, 2023. "Modeling and Simulation of Modified MPPT Techniques under Varying Operating Climatic Conditions," Energies, MDPI, vol. 16(1), pages 1-20, January.

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