Floating wind turbine control optimization

Abstract

We present a framework for optimizing the control parameters of floating offshore wind turbines (FOWTs). The framework combines aeroelastic simulations with a systems engineering model and control software. In an example of the optimization framework, we minimize tower damage equivalent loading with generator speed constraints. We also study the effect of thrust-limiting control and quantify the trade off between fatigue loading and energy capture using a set of optimal controller designs. Finally, we optimize the controller of four different FOWT models and compare their dynamic responses. Additional details and other use cases for the framework are presented, which can optimize different control problems and evaluate FOWT designs.

Control Co-Design Studies for a 22 MW Semisubmersible Floating Wind Turbine Platform

“…Recent research has shown that this feedback can be used to decouple the generator speed dynamics from the platform motion and also increase the damping on the platform motion [13; 14]. In WEIS, a data-driven approach is used to account for the coupling, where the simulation outputs determine which parameters are best for reducing platform motion and generator speed transients [15]. Another control parameter in ROSCO worth noting is the peak shaving parameter, which limits maximum thrust on the turbine rotor, affecting platform motion and transients.…”

Rigid Body Dynamic Response of a Floating Offshore Wind Turbine to Waves: Identification of the Instantaneous Centre of Rotation Through Analytical And Numerical Analyses

“…The dynamic response of highly-coupled FOWT systems to external loads is complex and so its numerical modelling is challenging, which can be seen in a wealth of recent literature. Particular attention has been given to studying the first and second-order hydrodynamic loads in varying environmental conditions [4,5], complex aerodynamics during platform motion [6][7][8], fluid-structure interaction (or hydroelastoplasticity) [9,10], and control methods [11,12]. As the understanding of the general principles of FOWT dynamics improves, more and more in-depth analysis is being performed to examine the exact mechanisms driving FOWT responses in a complex environment.…”