Damping Control for Heaving Wave Energy Converters Using Maximum Power Point Tracking Methods

Bisni Fahad Mon, Addy Wahyudie, Rachid Errouissi, Tuanku Badzlin Hashfi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this study was to evaluate damping control utilizing various maximum power point tracking (MPPT) approaches for heaving wave energy converters (WEC). A DC-DC boost converter was used to implement damping control. A perturb and observe approach was used to find the duty cycle for the MPPT. The optimal performance index for the MPPT is determined by this assessment study, along with the appropriate position for the observation parameters. The observing parameters were assessed and evaluated in three locations (electrical variables at the load, electrical variables between the source and the load, and mechanical variables near the source). According to the findings, the MPPT strategy performs the best when considering the characteristics between the source and load, and using power maximization as the performance metric.

Original languageEnglish
Title of host publication2023 International Conference on Control, Communication and Computing, ICCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350334128
DOIs
Publication statusPublished - 2023
Event5th International Conference on Control, Communication and Computing, ICCC 2023 - Thiruvananthapuram, India
Duration: May 19 2023May 21 2023

Publication series

Name2023 International Conference on Control, Communication and Computing, ICCC 2023

Conference

Conference5th International Conference on Control, Communication and Computing, ICCC 2023
Country/TerritoryIndia
CityThiruvananthapuram
Period5/19/235/21/23

Keywords

  • Maximum Power Point Tracking
  • Permanent Magnet Linear Generator
  • Wave Energy Converters

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Automotive Engineering
  • Computational Mathematics
  • Control and Optimization

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