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Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach

Author

Listed:
  • Catalina González-Castaño

    (Facultad de Ingeniería, Ingeniería Mecatrónica de la Universidad Manuela Beltrán, Bogotá 110231, Colombia
    These authors contributed equally to this work.)

  • James Marulanda

    (Departamento de Ingeniería Eléctrica de la Universidad Tecnológica de Pereira, Pereira 660001, Colombia
    These authors contributed equally to this work.)

  • Carlos Restrepo

    (Department of Electromechanics and Energy Conversion, Universidad de Talca, Curicó 3340000, 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.)

  • Alfonso Alzate

    (Departamento de Ingeniería Eléctrica de la Universidad Tecnológica de Pereira, Pereira 660001, Colombia
    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

This paper proposes a new method for maximum power point tracking (MPPT) of the photovoltaic (PV) system while using a DC-DC boost converter. The conventional perturb and observe (P&O) method has a fast tracking response, but it presents oscillation around the maximum power point (MPP) in steady state. Therefore, to satisfy transient and steady-state responses, this paper presents a MPPT method using support vector machines (SVMs). The use of SVM will help to improve the tracking speed of maximum power point of the PV system without oscillations near MPP. A boost converter is used to implement the MPPT method, where the input voltage of the DC-DC converter is regulated using a double loop where the inner loop is a current control that is based on passivity. The MPPT structure is validated by hardware in the loop, a real time and high-speed simulator (PLECS RT Box 1), and a digital signal controller (DSC) are used to model the PV system and implement the control strategies, respectively. The proposed strategy presents low complexity and it is implemented in a commercial low-cost DSC (TI 28069M). The performance of the MPPT proposed is presented under challenging experimental profiles with solar irradiance and temperature variations across the panel. In addition, the performance of the proposed method is compared with the P&O method, which is traditionally most often used in MPPT under demanding tests, in order to demonstrate the superiority of the strategy presented.

Suggested Citation

  • Catalina González-Castaño & James Marulanda & Carlos Restrepo & Samir Kouro & Alfonso Alzate & Jose Rodriguez, 2021. "Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3000-:d:513898
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    References listed on IDEAS

    as
    1. Farhat, Maissa & Barambones, Oscar & Sbita, Lassaad, 2017. "A new maximum power point method based on a sliding mode approach for solar energy harvesting," Applied Energy, Elsevier, vol. 185(P2), pages 1185-1198.
    2. Mehdi Seyedmahmoudian & Tey Kok Soon & Elmira Jamei & Gokul Sidarth Thirunavukkarasu & Ben Horan & Saad Mekhilef & Alex Stojcevski, 2018. "Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    3. Victor Andrean & Pei Cheng Chang & Kuo Lung Lian, 2018. "A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation," Energies, MDPI, vol. 11(11), pages 1-25, November.
    4. Jong-Chan Kim & Jun-Ho Huh & Jae-Sub Ko, 2019. "Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid," Sustainability, MDPI, vol. 11(21), pages 1-27, October.
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    Cited by:

    1. Tomasz Binkowski, 2021. "Fuzzy Logic Based Synchronization Method for Solar Powered High Frequency On-Board Grid," Energies, MDPI, vol. 14(24), pages 1-19, December.

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