Optimal Control for Wind Turbine Wake Mixing on Floating Platforms

Optimal Control for Wind Turbine Wake Mixing on Floating Platforms

van den Broek, M.J. (TU Delft Team Jan-Willem van Wingerden)
van den Berg, D.G. (TU Delft Team Jan-Willem van Wingerden)
Sanderse, Benjamin (Centrum Wiskunde & Informatica (CWI))
van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden)

2023

Dynamic induction control is a wind farm flow control strategy that utilises wind turbine thrust variations to accelerate breakdown of the aerodynamic wake and improve downstream turbine performance. However, when floating wind turbines are considered, additional dynamics and challenges appear that make optimal control difficult. In this work, we propose an adjoint optimisation framework for non-linear economic model-predictive control, which utilises a novel coupling of an existing aerodynamic wake model to floating platform hydrodynamics. Analysis of the frequency response for the coupled model shows that it is possible to achieve wind turbine thrust variations without inducing large motion of the rotor. Using economic model-predictive control, we find dynamic induction results that lead to an improvement of 7 % over static induction control, where the dynamic controller stimulates wake breakdown with only small variations in rotor displacement. This novel model formulation provides a starting point for the adaptation of dynamic wind farm flow control strategies for floating wind turbines.

floating wind turbines
non-linear predictive control
optimal control of hybrid systems
wind energy
wind farm control

http://resolver.tudelft.nl/uuid:a7763801-da21-402d-82bc-bf4f3805558c

https://doi.org/10.1016/j.ifacol.2023.10.1165

IFAC-PapersOnLine, 56 (2), 7656-7661

22nd IFAC World Congress, 2023-07-09 → 2023-07-14, Yokohama, Japan

Institutional Repository

journal article

© 2023 M.J. van den Broek, D.G. van den Berg, Benjamin Sanderse, J.W. van Wingerden