Extremum-seeking Control of Wave Energy Converters using Two-objective Flower Pollination Algorithm

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)

Abstract

This paper proposes a new Wave Energy Converter (WEC) extremum-seeking control method using Flower Pollination Algorithm (FPA) to achieve the maximum power absorption. This method can absorb the maximum power from the wave energy as well as the reduced Power Peak-to-Average Ratio (PPAR). Different from the existing methods, the proposed one does not depend on the dominant frequency of irregular waves, the accurate knowledge of excitation force, and WEC parameters.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Power Electronics and Application Conference and Exposition (PEAC 2018)
Number of pages5
Place of PublicationChina
PublisherIEEE Press
Publication dateNov 2018
Pages1-5
ISBN (Print)978-1-5386-6055-3
ISBN (Electronic)978-1-5386-6054-6
DOIs
Publication statusPublished - Nov 2018
Event2nd IEEE Power Electronics and Applications Conference and Exposition - Shenzhen, China
Duration: 4 Nov 20187 Nov 2018
Conference number: 2nd
http://www.peac-conf.org/

Conference

Conference2nd IEEE Power Electronics and Applications Conference and Exposition
Number2nd
Country/TerritoryChina
CityShenzhen
Period04/11/201807/11/2018
Internet address

Keywords

  • extremum-seeking control
  • flower pollination algorithm
  • wave energy converters
  • maximum power absorption
  • power peak-to-average ratio

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