Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2017-44
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research articles
17 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
A control-oriented dynamic wind farm model: WFSim
Sjoerd Boersma1, Bart Doekemeijer1, Mehdi Vali2, Johan Meyers3, and Jan-Willem van Wingerden1 1Delft University of Technology, Delft Center for Systems and Control, Mekelweg 2, 2628 CC, Delft, Holland
2Wind Energy System Research Group, ForWind, K├╝pkersweg 70, 26129 Oldenburg, Germany
3KU Leuven, Department of Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven, Belgium
Abstract. Wind turbines are often sited together in wind farms as it is economically advantageous. Controlling the flow within wind farms to reduce the fatigue loads and provide grid facilities such as the delivery of a demanded power is a challenging control problem due to the underlying time-varying nonlinear wake dynamics. It is therefore important to use the closed-loop control paradigm since it can partially account for model uncertainty and, in addition, it can deal with unknown disturbances. State-of-the-art closed-loop dynamic wind farm controllers are based on computationally expensive wind farm models, which make these methods suitable for analysis though unsuitable for online control. The latter is important, because it allows for model adaptation to the time-varying atmospheric conditions using SCADA measurements. As a consequence, more reliable control settings can be evaluated.

In this paper, a dynamic wind farm model suitable for online wind farm control will be presented. The derivation of the control-oriented dynamic wind farm model starts with the three-dimensional Navier-Stokes equations. Then, terms involving the vertical dimension will be estimated in order to partially compensate for neglecting the vertical dimension or neglected such that a 2D-like dynamic wind farm model will be obtained. Sparsity of and structure in the system matrices make this model relatively computational inexpensive hence suitable for online closed-loop controller synthesis including model parameter updates. Flow and power data evaluated with the wind farm model presented in this work will be validated with high fidelity flow data.


Citation: Boersma, S., Doekemeijer, B., Vali, M., Meyers, J., and van Wingerden, J.-W.: A control-oriented dynamic wind farm model: WFSim, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2017-44, in review, 2017.
Sjoerd Boersma et al.
Sjoerd Boersma et al.
Sjoerd Boersma et al.

Viewed

Total article views: 305 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
198 104 3 305 4 2

Views and downloads (calculated since 17 Oct 2017)

Cumulative views and downloads (calculated since 17 Oct 2017)

Viewed (geographical distribution)

Total article views: 305 (including HTML, PDF, and XML)

Thereof 301 with geography defined and 4 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 16 Dec 2017
Publications Copernicus
Download
Short summary
Controlling the flow within wind farms to reduce the fatigue loads and provide grid facilities such as the delivery of a demanded power is a challenging control problem due to the underlying time-varying nonlinear wake dynamics. In this paper, a control-oriented dynamical wind farm model is presented and validated with high-fidelity wind farm models. In contrary to the latter models, the presented model in this work is computational efficient hence suitable for online wind farm control.
Controlling the flow within wind farms to reduce the fatigue loads and provide grid facilities...
Share