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A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems

Author

Listed:
  • Muhammad Ahmed Qureshi

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

  • Francesco Torelli

    (Dipartimento Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70125 Bari, Italy)

  • Salvatore Musumeci

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

  • Alberto Reatti

    (Dipartimento Ingegneria dell’Informazione, University of Florence, 50139 Firenze, Italy)

  • Andrea Mazza

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

  • Gianfranco Chicco

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

Abstract

Maximum power-point tracking (MPPT) is applied to enable effective operation of photovoltaic (PV) systems under different external conditions. MPPT is based on a control system that aims at maintaining the PV system operation in the most effective conditions of maximum power output. This paper demonstrates the effective application of a novel adaptive control approach developed to be used in the field of power electronics. The application to MPPT is developed by using a non-inverted Buck-Boost converter applied to the PV system. The novel control methodology is based on the application of the Lyapunov stability concepts. The strength of this novel control technique is confirmed by the accurate comparison among the results obtained by using the proposed solution and some controllers proposed in the literature.

Suggested Citation

  • Muhammad Ahmed Qureshi & Francesco Torelli & Salvatore Musumeci & Alberto Reatti & Andrea Mazza & Gianfranco Chicco, 2023. "A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems," Energies, MDPI, vol. 16(6), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2782-:d:1099643
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    References listed on IDEAS

    as
    1. Eltamaly, Ali M., 2021. "A novel musical chairs algorithm applied for MPPT of PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    2. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
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