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Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System

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  • Leopoldo Gil-Antonio

    (Faculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, Mexico
    Tecnológico de Estudios Superiores de Jocotitlán Carretera Toluca-Atlacomulco km. 44.8, Jocotitlán 50700, Estado de México, Mexico)

  • Belem Saldivar

    (Faculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, Mexico
    Cátedras CONACYT, Av. Insurgentes Sur 1582, Col. Crédito Constructor, Alcaldía Benito Juárez, Ciudad de México 03940, Mexico)

  • Otniel Portillo-Rodríguez

    (Faculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, Mexico)

  • Juan Carlos Ávila-Vilchis

    (Faculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, Mexico)

  • Pánfilo Raymundo Martínez-Rodríguez

    (School of Sciencies, UASLP, San Luis Potosi 78290, SLP, Mexico)

  • Rigoberto Martínez-Méndez

    (Faculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, Mexico)

Abstract

Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents the maximum energy that can be extracted from the PV panel. This paper presents a novel control approach for the Maximum Power Point Tracking (MPPT) based on the differential flatness property of the Boost converter, which is one of the most used converters in PV systems. The underlying idea of the proposed control approach is to use the classical flatness-based trajectory tracking control where a reference voltage will be defined in terms of the maximum power provided by the PV panel. The effectiveness of the proposed controller is assessed through numerical simulations and experimental tests. The results show that the controller based on differential flatness is capable of converging in less than 0.15 s and, compared with other MPPT techniques, such as Incremental Conductance and Perturb and Observe, it improves the response against sudden changes in load or weather conditions, reducing the ringing in the output of the system. Based on the results, it can be inferred that the new flatness-based controller represents an alternative to improve the MPPT in PV systems, especially when they are subject to sudden load or weather changes.

Suggested Citation

  • Leopoldo Gil-Antonio & Belem Saldivar & Otniel Portillo-Rodríguez & Juan Carlos Ávila-Vilchis & Pánfilo Raymundo Martínez-Rodríguez & Rigoberto Martínez-Méndez, 2019. "Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System," Energies, MDPI, vol. 12(10), pages 1-19, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1843-:d:231342
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    References listed on IDEAS

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    1. Dounis, Anastasios I. & Kofinas, Panagiotis & Alafodimos, Constantine & Tseles, Dimitrios, 2013. "Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system," Renewable Energy, Elsevier, vol. 60(C), pages 202-214.
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    Cited by:

    1. Miaomiao Ma & Xiangjie Liu & Kwang Y. Lee, 2020. "Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control," Energies, MDPI, vol. 13(6), pages 1-16, March.
    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.
    3. Víctor Hugo García-Rodríguez & José Humberto Pérez-Cruz & Roberto Carlos Ambrosio-Lázaro & Salvador Tavera-Mosqueda, 2023. "Analysis of DC/DC Boost Converter–Full-Bridge Buck Inverter System for AC Generation," Energies, MDPI, vol. 16(6), pages 1-16, March.
    4. Adeel Feroz Mirza & Majad Mansoor & Qiang Ling & Muhammad Imran Khan & Omar M. Aldossary, 2020. "Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller," Energies, MDPI, vol. 13(16), pages 1-25, August.

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