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

Aqiang Zhao, Weimin Wu*, Zuoyao Sun, Lixun Zhu, Kaiyuan Lu*, Henry Chung, Frede Blaabjerg

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Citations (Scopus)
65 Downloads (CityUHK Scholars)

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.
Original languageEnglish
Article number1343
JournalEnergies
Volume12
Issue number7
Online published8 Apr 2019
DOIs
Publication statusPublished - Apr 2019

Research Keywords

  • Flower pollination algorithm (FPA)
  • Hill-climbing method
  • Maximum power point tracking (MPPT)
  • Point-absorbing
  • Power take-off (PTO)
  • Wave energy converter (WEC)

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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