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A Fast Converging Hybrid MPPT Algorithm Based on ABC and P&O Techniques for a Partially Shaded PV System

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Listed:
  • Carlos Restrepo

    (Department of Electromechanics and Energy Conversion, Universidad de Talca, Curicó 3340000, Chile
    These authors contributed equally to this work.)

  • Nicolas Yanẽz-Monsalvez

    (Department of Electromechanics and Energy Conversion, Universidad de Talca, Curicó 3340000, Chile
    These authors contributed equally to this work.)

  • Catalina González-Castaño

    (Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, Chile
    These authors contributed equally to this work.)

  • Samir Kouro

    (Electronics Engineering Department, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
    These authors contributed equally to this work.)

  • Jose Rodriguez

    (Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, Chile
    These authors contributed equally to this work.)

Abstract

Among all the conventional maximum power point tracking (MPPT) techniques for a photovoltaic (PV) system that have been proposed, incremental conductance (INC) and perturb and observe (P&O) are the most popular because of their simplicity and ease of implementation. However, under partial shading conditions (PSCs), these MPPT algorithms fail to track the global maximum power point (GMPP) and instead converge into local maximum power points (LMPPs), resulting in considerable PV power loss. This paper presents a new hybrid MPPT technique combining the artificial bee colony (ABC) and P&O algorithms named ABC-P&O. The P&O technique is used to track the MPP under uniform irradiance, and only during irradiance variations is the ABC algorithm employed. The effectiveness of the proposed hybrid algorithm at tracking the GMPP, under both uniform and nonuniform irradiance conditions, was assessed by hardware-in-the-loop (HIL) tests employed by a dc–dc boost converter. Then, the ABC-P&O strategy was applied to obtain the voltage reference for the outer PI control loop, which provided the current reference to the discrete-time sliding-mode current control. The ABC-P&O algorithm has a reasonable computational cost, allowing the use of a commercial, low-priced digital signal controller (DSC) with outer voltage and inner current control loops. Many challenging tests validated that the proposed ABC-P&O technique converges fast to the GMPP with high efficiency and superior performance under different PSCs.

Suggested Citation

  • Carlos Restrepo & Nicolas Yanẽz-Monsalvez & Catalina González-Castaño & Samir Kouro & Jose Rodriguez, 2021. "A Fast Converging Hybrid MPPT Algorithm Based on ABC and P&O Techniques for a Partially Shaded PV System," Mathematics, MDPI, vol. 9(18), pages 1-25, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:18:p:2228-:d:633292
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    References listed on IDEAS

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    Cited by:

    1. Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.
    2. Ernesto Bárcenas-Bárcenas & Diego R. Espinoza-Trejo & José A. Pecina-Sánchez & Héctor A. Álvarez-Macías & Isaac Compeán-Martínez & Ángel A. Vértiz-Hernández, 2023. "An improved Fractional MPPT Method by Using a Small Circle Approximation of the P–V Characteristic Curve," Mathematics, MDPI, vol. 11(3), pages 1-15, January.
    3. Marcin Walczak & Leszek Bychto, 2023. "Transients in Input and Output Signals in DC–DC Converters Working in Maximum Power Point Tracking Systems," Energies, MDPI, vol. 16(12), pages 1-12, June.

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