Floating offshore wind turbine nonlinear model predictive control optimisation method

Javier López-Queija*, Josu Jugo, Ander Tena, Eider Robles, Eneko Sotomayor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a novel control parameter optimisation methodology for nonlinear model predictive control for floating offshore wind turbine operation, computing optimisation weights as environment conditions dependent variables. The main objective is to reduce the required time to define the optimal control parameters for the nonlinear control strategy, using an automated approach. To achieve this, an optimisation methodology based on extreme operational gust conditions is applied by employing a Random Walk-type Monte Carlo procedure. The primary aim is to introduce an advanced control design approach that addresses concerns related to the efficient power generation and longevity of floating systems, particularly considering the growing scale of wind turbines and the dynamic behaviour of floating platforms, which increase the system overall costs. The resulting optimised controller is also evaluated against state-of-the-art feedback-based control strategies in different operational environmental conditions.

Original languageEnglish
Article number119754
JournalOcean Engineering
Volume314
DOIs
Publication statusPublished - 15 Dec 2024

Keywords

  • Floating offshore wind turbine dynamics
  • Floating offshore wind turbines
  • Nonlinear model predictive control
  • Wind energy
  • Wind turbine control

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