Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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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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Baros, S. and Ilic, M.: Distributed Torque Control of Deloaded Wind DFIGs for Wind Farm Power Output Regulation, IEEE T. Power Syst., 32, 4590–4599, 2017.
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Bay, C., Annoni, J., Taylor, T., Pao, L., and Johnson, K.: Active Power Control for Wind Farms Using Distributed Model Predictive Control and Nearest Neighbor Communication, in: IEEE 2018 Annual American Control Conference (ACC), 682–687, 2018.
Boyd, S., Parikh, N., Chu, E., Peleato, B., and Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers, Foundations and Trends® in Machine Learning, 3, 1–122, 2011.
Ebegbulem, J. and Guay, M.: Distributed Extremum Seeking Control for Wind Farm Power Maximization, in: International Federation of Automatic Control, IFAC-PapersOnLine, 50, 147–152, 2017.
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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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