This preprint was under review for the journal WES. A final paper is not foreseen.
Feedforward-Feedback wake redirection for wind farm control
Steffen Raach1,3,Bart Doekemeijer2,Sjoerd Boersma2,Jan-Willem van Wingerden2,and Po Wen Cheng1Steffen Raach et al. Steffen Raach1,3,Bart Doekemeijer2,Sjoerd Boersma2,Jan-Willem van Wingerden2,and Po Wen Cheng1
Received: 09 Aug 2019 – Accepted for review: 16 Oct 2019 – Discussion started: 17 Oct 2019
Abstract. This work presents a combined feedforward-feedback wake redirection framework for wind farm control. The FLORIS wake model, a control-oriented steady-state wake model is used to calculate optimal yaw angles for a given wind farm layout and atmospheric condition. The optimal yaw angles, which maximize the total power output, are applied to the wind farm. Further, the lidar-based closed-loop wake redirection concept is used to realize a local feedback on turbine level. The wake center is estimated from lidar measurements 3D downwind of the wind turbines. The dynamical feedback controllers support the feedforward controller and reject disturbances and adapt to model uncertainties. Altogether, the total framework is presented and applied to a nine turbine wind farm test case. In a high fidelity simulation study the concept shows promising results and an increase in total energy production compared to the baseline case and the feedforward-only case.
The presented work combines two control approaches of wake redirection control, feedforward wake redirection and feedback wake redirction. In our previous investigatins the lidar-assisted feedback control was studied and the advantages and disadvantages were discussed. The optimal yaw angles for the wind turbines are precomputed, the feedback takes care of uncertainties and disturbances. The concept is demonstrated in a high fidelity simulation model.
The presented work combines two control approaches of wake redirection control, feedforward wake...
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