Nonlinear Model Predictive Control Based on Real-Time Iteration Scheme for Wave Energy Converters Using WEC-Sim

Juan Guerrero-Fernandez, Nathan Tom, John Rossiter

Research output: Contribution to conferencePaperpeer-review

1 Scopus Citations

Abstract

One of several challenges that wave energy technologies face is their inability to generate electricity cost-competitively with other grid-scale energy generation sources. Several studies have identified two approaches to lower the levelised cost of electricity: reduce the cost over the device's lifetime or increase its overall electrical energy production. Several advanced control strategies have been developed to address the latter. However, only a few take into account the overall efficiency of the power take-off (PTO) system, and none of them solve the optimisation problem that arises at each sampling time on real-Time. In this paper, a detailed Nonlinear model predictive control (NMPC) approach based on the real-Time iteration (RTI) scheme is presented, and the controller performance is evaluated using a time-domain hydrodynamics model (WEC-Sim). The proposed control law incorporates the PTO system's efficiency in a control law to maximise the energy extracted. The study also revealed that RTI-NMPC clearly outperforms a simple resistive controller.

Original languageAmerican English
Number of pages12
DOIs
StatePublished - 2022
EventASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2022 - Hamburg, Germany
Duration: 5 Jun 202210 Jun 2022

Conference

ConferenceASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2022
Country/TerritoryGermany
CityHamburg
Period5/06/2210/06/22

Bibliographical note

See NREL/CP-5700-81943 for preprint

NREL Publication Number

  • NREL/CP-5700-84627

Keywords

  • model predictive control
  • wave energy converter

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