Wind Energy Science
Wind Energy Science
Wind Energy Science
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Preprints
https://doi.org/10.5194/wes-2019-54
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2019-54
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Preprints
 
17 Oct 2019
17 Oct 2019
Status: 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 Cheng1 Steffen Raach et al.
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  • 1Universität Stuttgart, Stuttgart Wind Energy (SWE), Allmandring 5B, 70569 Stuttgart, Germany
  • 2TU Delft, Mekelweg 5, 2628 CD Delft, The Netherlands
  • 3sowento GmbH, Donizettistr. 1A, 70195 Stuttgart, Germany
Received: 09 Aug 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.

This preprint has been withdrawn.
How to cite. Raach, S., Doekemeijer, B., Boersma, S., van Wingerden, J.-W., and Cheng, P. W.: Feedforward-Feedback wake redirection for wind farm control, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2019-54, 2019.

Steffen Raach et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Steffen Raach et al.

Steffen Raach et al.

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Latest update: 01 Jul 2022
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Short summary
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.
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