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Maximum Power Point Tracking using Reactive Control for Heaving Wave Energy Converters

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

Abstract

A reactive control using MPPT technique is developed for maximizing of the output electrical power. The perturb and observe algorithm searches for optimum value of damping and stiffness coefficients in order to maximize the converted electrical power (Pe). The running mean value of the Pe is calculated in every MPPT control period and updating of the damping and stiffness coefficients are done as per the direction of the Pe. The proposed MPPT is then compared with the resistive loading and approximate complex conjugate control techniques. The results show significant improvements in Pe using the proposed MPPT using reactive control.

Original languageEnglish
Title of host publication3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665479080
DOIs
Publication statusPublished - 2022
Event3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Doha, Qatar
Duration: Mar 20 2022Mar 22 2022

Publication series

Name3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

Conference

Conference3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022
Country/TerritoryQatar
CityDoha
Period3/20/223/22/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Maximum Power Point Tracking
  • Perturb and Observe.
  • Wave Energy Converters

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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