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Model predictive control for wave energy converters: A moving window blocking approach

  • Juan Guerrero-Fernández
  • , Oscar J. González-Villarreal
  • , John Anthony Rossiter
  • , Bryn Jones
  • University of Sheffield

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

Ocean wave energy is one of the most concentrated sources of renewable energy. However, until now it has not reached the economic feasibility required to be commercialised. To improve the efficiency of wave energy converters, several advanced control strategies have been proposed, including Model Predictive Control (MPC). Nevertheless, the computational burden of the underlying optimisation problem is a drawback of conventional (Full-Degree of Freedom, F-DoF) MPC, which typically limits its application for real-time control of systems. In this paper, a Moving Window Blocking (MWB) approach is proposed to speed-up the time required for each optimisation problem by reducing the number of decision variables using input parameterised solutions. Numerical simulation of a generic single device point absorber wave energy converter controlled by this scheme confirms the potential of this approach.

Original languageEnglish
Pages (from-to)12815-12821
Number of pages7
JournalIFAC-PapersOnLine
Volume53
DOIs
StatePublished - 2020
Externally publishedYes
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020

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

  • Model predictive controller
  • Moving window blocking
  • Wave energy converters

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