A nonlinear model predictive control strategy for a wave-to-wire model of vibro-impact wave energy converters

Shuai Chen, Yanbo Zuo, Kunde Yang, Bingyong Guo

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

In this study, the application of nonlinear model predictive control (NMPC) on a wave-to-wire (W2W) model of vibro-impact wave energy converters (VIWECs) is investigated. A nonlinear model predictive control strategy is proposed, for maximising wave energy capture and regulating the varying VIWEC power output as stable DC power. The optimal power take-off (PTO) force, viewed as a control input for maximising wave energy capture, is generated by the NMPC strategy, and actuated by a AC/DC converter with the space vector pulse width modulation (SVPWM) technique. In addition, a hybrid energy storage system (HESS), consisting of a battery and a supercapacitor, is integrated to the DC bus of the AC/DC converter via buck-boost DC/DC converters, and the DC bus voltage is stabilised by Lyapunov-based controllers, for providing stable and continuous power for DC payloads. Numerical results show that the performance of the W2W model with the proposed NMPC strategy is sensitive to sampling interval, prediction steps, current constraints and weight factors.

Original languageEnglish
Pages (from-to)1337-1343
Number of pages7
JournalIET Conference Proceedings
Volume2023
Issue number15
DOIs
StatePublished - 2023
Event12th International Conference on Renewable Power Generation, RPG 2023 - Shanghai, China
Duration: 14 Oct 202315 Oct 2023

Keywords

  • Nonlinear model predictive control
  • hybrid energy-storage system
  • vibro-impact wave energy converters
  • wave energy conversion
  • wave-to-wire modelling

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