Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 245–257, 2020
https://doi.org/10.5194/wes-5-245-2020

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 245–257, 2020
https://doi.org/10.5194/wes-5-245-2020
Research article
21 Feb 2020
Research article | 21 Feb 2020

Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments

Joeri Alexis Frederik et al.

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Cited articles

Annoni, J., Gebraad, P. M., Scholbrock, A. K., Fleming, P. A., and v. Wingerden, J.-W. : Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model, Wind Energy, 19, 1135–1150, 2016. a, b
Annoni, J., Fleming, P., Scholbrock, A., Roadman, J., Dana, S., Adcock, C., Porte-Agel, F., Raach, S., Haizmann, F., and Schlipf, D.: Analysis of control-oriented wake modeling tools using lidar field results, Wind Energ. Sci., 3, 819–831, https://doi.org/10.5194/wes-3-819-2018, 2018. a, b
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Short summary
The interaction between wind turbines in a wind farm through their wakes is a widely studied research area. Until recently, research was focused on finding constant turbine inputs that optimize the performance of the wind farm. However, recent studies have shown that time-varying, dynamic inputs might be more beneficial. In this paper, the validity of this approach is further investigated by implementing it in scaled wind tunnel experiments and assessing load effects, showing promising results.