Articles | Volume 4, issue 2
Wind Energ. Sci., 4, 355–368, 2019
https://doi.org/10.5194/wes-4-355-2019
Wind Energ. Sci., 4, 355–368, 2019
https://doi.org/10.5194/wes-4-355-2019

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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Cited articles

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Barthelmie, R. J., Wang, H., Doubrawa, P., and Pryor, S.: Best Practice for Measuring Wind Speeds and Turbulence Offshore through In-Situ and Remote Sensing Technologies, available at: http://www.geo.cornell.edu/eas/PeoplePlaces/Faculty/spryor/DoE_AIATOWEA/DoE2016Barthelmieetal_BestPractice_070716-1djxj4x.pdf (last access: June 2019), 2016.
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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.