A control-oriented dynamic wind farm model: WFSim

Boersma, Sjoerd; Doekemeijer, Bart; Vali, Mehdi; Meyers, Johan; van Wingerden, Jan-Willem

doi:https://doi.org/10.5194/wes-3-75-2018

Articles | Volume 3, issue 1

https://doi.org/10.5194/wes-3-75-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-3-75-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 1

Research article

|

06 Mar 2018

Research article |

| 06 Mar 2018

A control-oriented dynamic wind farm model: WFSim

Sjoerd Boersma, Bart Doekemeijer, Mehdi Vali, Johan Meyers, and Jan-Willem van Wingerden

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Final revised paper (published on 06 Mar 2018)
Preprint (discussion started on 17 Oct 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of "A control-oriented dynamic wind farm model: WFSim"', Anonymous Referee #1, 06 Dec 2017
- SC1: 'Answers to questions from Referee #1', Sjoerd Boersma, 12 Dec 2017
- AC1: 'Response to Referee #1', Sjoerd Boersma, 05 Jan 2018
RC2: 'This is an interesting paper.', Anonymous Referee #2, 19 Dec 2017
- AC2: 'Response to Referee #2', Sjoerd Boersma, 05 Jan 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sjoerd Boersma on behalf of the Authors (20 Jan 2018) Author's response Manuscript

ED: Publish as is (06 Feb 2018) by Joachim Peinke

ED: Publish as is (06 Feb 2018) by Carlo L. Bottasso (Chief editor)

AR by Sjoerd Boersma on behalf of the Authors (08 Feb 2018)

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 non-linear wake dynamics. In this paper, a control-oriented dynamical wind farm model is presented and validated with high-fidelity wind farm models. In contrast to the latter models, the model presented in this work is computationally efficient and hence suitable for online wind farm control.