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MPPT for Photovoltaic Modules via Newton-Like Extremum Seeking Control

Author

Listed:
  • Héctor Zazo

    (Department of Electronic, Electrical and Automatic Control Engineering, University Rovira i Virgili, Avenue Paisos Catalans, Tarragona 43007, Spain)

  • Esteban Del Castillo

    (Department of Electronic, Electrical and Automatic Control Engineering, University Rovira i Virgili, Avenue Paisos Catalans, Tarragona 43007, Spain)

  • Jean François Reynaud

    (Laboratory for Analysis and Architecture of Systems, CNRS, 7, Avenue du Colonel Roche, Toulouse Cedex 4 31077, France)

  • Ramon Leyva

    (Department of Electronic, Electrical and Automatic Control Engineering, University Rovira i Virgili, Avenue Paisos Catalans, Tarragona 43007, Spain)

Abstract

The paper adapts the Newton-like Extremum-Seeking Control technique to extract the maximum power from photovoltaic panels. This technique uses the gradient and Hessian of the panel characteristic in order to approximate the operating point to its optimum. The paper describes in detail the gradient and Hessian estimations carried out by means of sinusoidal dithering signals. Furthermore, we compare the proposed technique with the common Extremum Seeking Control that only uses the gradient. The comparison is done by means of PSIM simulations and it shows the different transient behaviors and the faster response of the Newton-like Extremum-Seeking Control solution.

Suggested Citation

  • Héctor Zazo & Esteban Del Castillo & Jean François Reynaud & Ramon Leyva, 2012. "MPPT for Photovoltaic Modules via Newton-Like Extremum Seeking Control," Energies, MDPI, vol. 5(8), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:8:p:2652-2666:d:19071
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    References listed on IDEAS

    as
    1. Hae Gwang Jeong & Ro Hak Seung & Kyo Beum Lee, 2012. "An Improved Maximum Power Point Tracking Method for Wind Power Systems," Energies, MDPI, vol. 5(5), pages 1-16, May.
    2. Her-Terng Yau & Chen-Han Wu, 2011. "Comparison of Extremum-Seeking Control Techniques for Maximum Power Point Tracking in Photovoltaic Systems," Energies, MDPI, vol. 4(12), pages 1-16, December.
    3. Ying Zhu & Ming Cheng & Wei Hua & Wei Wang, 2012. "A Novel Maximum Power Point Tracking Control for Permanent Magnet Direct Drive Wind Energy Conversion Systems," Energies, MDPI, vol. 5(5), pages 1-15, May.
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    Cited by:

    1. Kuei-Hsiang Chao, 2015. "A High Performance PSO-Based Global MPP Tracker for a PV Power Generation System," Energies, MDPI, vol. 8(7), pages 1-18, July.
    2. Chao, Kuei-Hsiang & Lin, Yu-Sheng & Lai, Uei-Dar, 2015. "Improved particle swarm optimization for maximum power point tracking in photovoltaic module arrays," Applied Energy, Elsevier, vol. 158(C), pages 609-618.

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