A predictive control framework for optimal energy extraction of wind farms

A predictive control framework for optimal energy extraction of wind farms

Vali, M. (ForWind - Center for Wind Energy Research; University of Oldenburg)
van Wingerden, J.W. (TU Delft Team Raf Van de Plas)
Boersma, S. (TU Delft Team Raf Van de Plas)
Petrović, V. (University of Oldenburg)
Kühn, M. (University of Oldenburg)

2016

This paper proposes an adjoint-based model predictive control for optimal energy extraction of wind farms. It employs the axial induction factor of wind turbines to influence their aerodynamic interactions through the wake. The performance index is defined here as the total power production of the wind farm over a finite prediction horizon. A medium-fidelity wind farm model is utilized to predict the inflow propagation in advance. The adjoint method is employed to solve the formulated optimization problem in a cost effective way and the first part of the optimal solution is implemented over the control horizon. This procedure is repeated at the next controller sample time providing the feedback into the optimization. The effectiveness and some key features of the proposed approach are studied for a two turbine test case through simulations.

http://resolver.tudelft.nl/uuid:75a4c5f7-ed6f-4d30-9411-4f17fc566db0

https://doi.org/10.1088/1742-6596/753/5/052013

IOP Publishing

Journal of Physics - Conference Series: The Science of Making Torque from Wind, 753 (D. Control and supporting technologies)

TORQUE 2016: 6th International Conference "The Science of Making Torque from Wind", 2016-10-05 → 2016-10-07, Technische Universität München (TUM), Campus Garching, Munich, Germany

Journal of Physics - Conference Series, 1742-6588, 753

Institutional Repository

conference paper

© 2016 M. Vali, J.W. van Wingerden, S. Boersma, V. Petrović, M. Kühn