Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic
Volume 4, issue 2
Wind Energ. Sci., 4, 355–368, 2019
https://doi.org/10.5194/wes-4-355-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 4, 355–368, 2019
https://doi.org/10.5194/wes-4-355-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Jun 2019

Research article | 20 Jun 2019

Wind direction estimation using SCADA data with consensus-based optimization

Jennifer Annoni et al.
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jennifer King on behalf of the Authors (04 Feb 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2019) by Sandrine Aubrun
RR by Anonymous Referee #1 (15 Apr 2019)
RR by Anonymous Referee #3 (02 May 2019)
ED: Publish subject to minor revisions (review by editor) (03 May 2019) by Sandrine Aubrun
AR by Jennifer King on behalf of the Authors (14 May 2019)  Author's response    Manuscript
ED: Publish as is (15 May 2019) by Sandrine Aubrun
ED: Publish as is (16 May 2019) by Gerard J.W. van Bussel(Chief Editor)
Publications Copernicus
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Short summary
Typically, turbines do not share information with nearby turbines in a wind farm. Relying on a single turbine sensor on the back of a turbine nacelle can lead to large errors in yaw misalignment or excessive yawing due to noisy sensor measurements. The wind farm consensus control approach in this paper shows the benefits of sharing information between nearby turbines by computing a robust estimate of the wind direction using noisy sensor information from these neighboring turbines.
Typically, turbines do not share information with nearby turbines in a wind farm. Relying on a...
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