Adjoint optimisation for wind farm flow control with a free-vortex wake model

van den Broek, M.J.; De Tavernier, D.; Sanderse, Benjamin; van Wingerden, J.W.

doi:10.1016/j.renene.2022.10.120

Adjoint optimisation for wind farm flow control with a free-vortex wake model

Title

Adjoint optimisation for wind farm flow control with a free-vortex wake model

Author

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

Date

2022

Abstract

Wind farm flow control aims to improve wind turbine performance by reducing aerodynamic wake interaction between turbines. Dynamic, physics-based models of wind farm flows have been essential for exploring control strategies such as wake redirection and dynamic induction control. Free-vortex methods can provide a computationally efficient way to model wind turbine wake dynamics for control optimisation. We present a control-oriented free-vortex wake model of a 2D and 3D actuator disc to represent wind turbine wakes. The novel derivation of the discrete adjoint equations allows efficient gradient evaluation for gradient-based optimisation in an economic model-predictive control algorithm. Initial results are presented for mean power maximisation in a two-turbine case study. An induction control signal is found using the 2D model that is roughly periodic and supports previous results on dynamic induction control to stimulate wake mixing. The 3D model formulation effectively models a curled wake under yaw misalignment. Under time-varying wind direction, the optimisation finds solutions demonstrating both wake steering and a smooth transition to greedy control. The free-vortex wake model with gradient information shows potential for efficient optimisation and provides a promising way to further explore dynamic wind farm flow control.

Subject

Adjoint optimisation
Free-vortex wake
Wake mixing
Wake redirection

To reference this document use:

http://resolver.tudelft.nl/uuid:a3ce3e79-a30e-4ffa-9b18-c7d02ac366f9

DOI

https://doi.org/10.1016/j.renene.2022.10.120

ISSN

0960-1481

Source

Renewable Energy, 201, 752-765

Part of collection

Institutional Repository