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A Flower Pollination Method Based Global Maximum Power Point Tracking Strategy for Point-Absorbing Type Wave Energy Converters

Author

Listed:
  • Aqiang Zhao

    (Department of Electronic Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Weimin Wu

    (Department of Electronic Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Zuoyao Sun

    (Department of Electronic Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Lixun Zhu

    (Department of Electronic Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Kaiyuan Lu

    (Department of Energy Technology, Aalborg University, DK-9220 Aalborg, Denmark)

  • Henry Chung

    (Department of Electronic Engineering, City University of Hong Kong, Hongkong 999077, China)

  • Frede Blaabjerg

    (Department of Energy Technology, Aalborg University, DK-9220 Aalborg, Denmark)

Abstract

To maximize the generated output power under random waves, the control strategy of maximum power point tracking (MPPT) is incorporated in point-absorbing type wave energy converter (WEC) system. However, due to the influence of mutative wave conditions, the curve of the maximum average power appears in multiple peaks, adding complexity to the tracking process. This paper proposes a new MPPT control technique for a wave power generation system, by using the flower pollination algorithm (FPA) instead of the conventional hill-climbing method. Compared with the hill-climbing method, this method has advantages of achieving a smaller peak-to-average ratio and capturing the more average power under the same sea state. The verification has been carried out through the simulations and the experimental results on a lab test bench.

Suggested Citation

  • Aqiang Zhao & Weimin Wu & Zuoyao Sun & Lixun Zhu & Kaiyuan Lu & Henry Chung & Frede Blaabjerg, 2019. "A Flower Pollination Method Based Global Maximum Power Point Tracking Strategy for Point-Absorbing Type Wave Energy Converters," Energies, MDPI, vol. 12(7), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1343-:d:220914
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    References listed on IDEAS

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    Cited by:

    1. Yong Ma & Shan Ai & Lele Yang & Aiming Zhang & Sen Liu & Binghao Zhou, 2020. "Hydrodynamic Performance of a Pitching Float Wave Energy Converter," Energies, MDPI, vol. 13(7), pages 1-27, April.
    2. Yue, Xuhui & Geng, Dazhou & Chen, Qijuan & Zheng, Yang & Gao, Gongzheng & Xu, Lei, 2021. "2-D lookup table based MPPT: Another choice of improving the generating capacity of a wave power system," Renewable Energy, Elsevier, vol. 179(C), pages 625-640.
    3. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    4. Xuhui Yue & Feifeng Meng & Zhoubo Tong & Qijuan Chen & Dazhou Geng & Jiaying Liu, 2023. "Implementation Process Simulation and Performance Analysis for the Multi-Timescale Lookup-Table-Based Maximum Power Point Tracking under Variable Irregular Waves," Energies, MDPI, vol. 16(22), pages 1-26, November.

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