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The Impact of Reconfiguration on the Energy Performance of the Distributed Maximum Power Point Tracking Approach in PV Plants

Author

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  • Marco Balato

    (Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Napoli, Italy
    These authors contributed equally to this work.)

  • Carlo Petrarca

    (Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Napoli, Italy
    These authors contributed equally to this work.)

Abstract

The following two approaches can address the drawbacks associated with mismatching phenomena in photovoltaic (PV) plants: distributed maximum power point tracking (DMPPT) architecture and reconfigurable PV array architecture. Until now, these two approaches have represented alternative solutions. In this paper, for the first time, it is suggested that the two approaches can be used together. In particular, it will be shown how the joint adoption of the DMPPT and reconfiguration approaches can improve the performances of mismatched PV plants; here, performance is understood as the best compromise between the efficiency and reliability of the entire PV system. Numerical results confirm the above assumptions, providing the hints for the development of innovative reconfiguration techniques suitable for distributed applications.

Suggested Citation

  • Marco Balato & Carlo Petrarca, 2020. "The Impact of Reconfiguration on the Energy Performance of the Distributed Maximum Power Point Tracking Approach in PV Plants," Energies, MDPI, vol. 13(6), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1511-:d:335692
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    References listed on IDEAS

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    Cited by:

    1. Pallavi Bharadwaj & Vinod John, 2021. "High-Power Closed-Loop SMPC-Based Photovoltaic System Characterization under Varying Ambient Conditions," Energies, MDPI, vol. 14(17), pages 1-19, August.
    2. Marco Balato & Annalisa Liccardo & Carlo Petrarca, 2020. "Dynamic Boost Based DMPPT Emulator," Energies, MDPI, vol. 13(11), pages 1-16, June.
    3. Mohamed Louzazni & Daniel Tudor Cotfas & Petru Adrian Cotfas, 2020. "Management and Performance Control Analysis of Hybrid Photovoltaic Energy Storage System under Variable Solar Irradiation," Energies, MDPI, vol. 13(12), pages 1-23, June.

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