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A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions

Author

Listed:
  • Catalina González-Castaño

    (Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, Chile
    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.)

  • Javier Revelo-Fuelagán

    (Department of Electronics Engineering, Faculty of Engineering, Universidad de Nariño, Pasto 520001, Colombia
    These authors contributed equally to this work.)

  • Leandro L. Lorente-Leyva

    (Postgraduate Center, Universidad Politécnica Estatal del Carchi, Tulcán 040101, Ecuador)

  • Diego H. Peluffo-Ordóñez

    (Modeling, Simulation and Data Analysis (MSDA) Research Program, Mohammed VI Polytechnic University, Ben Guerir 47963, Morocco
    Corporación Universitaria Autónoma de Nariño, Pasto 520001, Colombia
    These authors contributed equally to this work.)

Abstract

The efficiency of photovoltaic (PV) systems depends directly on solar irradiation, so drastic variations in solar exposure will undoubtedly move its maximum power point (MPP). Furthermore, the presence of partial shading conditions (PSCs) generates local maximum power points (LMPPs) and one global maximum power point (GMPP) in the P-V characteristic curve. Therefore, a proper maximum power point tracking (MPPT) technique is crucial to increase PV system efficiency. There are classical, intelligent, optimal, and hybrid MPPT techniques; this paper presents a novel hybrid MPPT technique that combines Surface-Based Polynomial Fitting (SPF) and Perturbation and Observation (P&O) for solar PV generation under PSCs. The development of the experimental PV system has two stages: (i) Modeling the PV array with the DC-DC boost converter using a real-time and high-speed simulator (PLECS RT Box), (ii) and implementing the proposed GMPPT algorithm with the double-loop controller of the DC-DC boost converter in a commercial low-priced digital signal controller (DSC). According to the simulation and the experimental results, the suggested hybrid algorithm is effective at tracking the GMPP under both uniform and nonuniform irradiance conditions in six scenarios: (i) system start-up, (ii) uniform irradiance variations, (iii) sharp change of the (PSCs), (iv) multiple peaks in the P-V characteristic, (v) dark cloud passing, and (vi) light cloud passing. Finally, the experimental results—through the standard errors and the mean power tracked and tracking factor scores—proved that the proposed hybrid SPF-P&O MPPT technique reaches the convergence to GMPP faster than benchmark approaches when dealing with PSCs.

Suggested Citation

  • Catalina González-Castaño & Carlos Restrepo & Javier Revelo-Fuelagán & Leandro L. Lorente-Leyva & Diego H. Peluffo-Ordóñez, 2021. "A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions," Mathematics, MDPI, vol. 9(21), pages 1-23, October.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2732-:d:666566
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    References listed on IDEAS

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    1. Lilia Tightiz & Saeedeh Mansouri & Farhad Zishan & Joon Yoo & Nima Shafaghatian, 2022. "Maximum Power Point Tracking for Photovoltaic Systems Operating under Partially Shaded Conditions Using SALP Swarm Algorithm," Energies, MDPI, vol. 15(21), pages 1-17, November.

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