Articles | Volume 4, issue 2
https://doi.org/10.5194/wes-4-355-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-4-355-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jun 2019
Research article |
| 20 Jun 2019
| 20 Jun 2019
Wind direction estimation using SCADA data with consensus-based optimization
Jennifer Annoni
CORRESPONDING AUTHOR
National Renewable Energy Laboratory, Golden, CO, 80401 USA
Christopher Bay
National Renewable Energy Laboratory, Golden, CO, 80401 USA
Department of Electrical Engineering, Colorado School of Mines, Golden, CO 80401, USA
Department of Electrical, Computer, and Energy Engineering, University of Colorado – Boulder, Boulder, CO 80309, USA
Kathryn Johnson
National Renewable Energy Laboratory, Golden, CO, 80401 USA
Department of Electrical Engineering, Colorado School of Mines, Golden, CO 80401, USA
Emiliano Dall'Anese
Department of Electrical, Computer, and Energy Engineering, University of Colorado – Boulder, Boulder, CO 80309, USA
Eliot Quon
National Renewable Energy Laboratory, Golden, CO, 80401 USA
Travis Kemper
National Renewable Energy Laboratory, Golden, CO, 80401 USA
Paul Fleming
National Renewable Energy Laboratory, Golden, CO, 80401 USA
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- A quantitative review of wind farm control with the objective of wind farm power maximization A. Kheirabadi & R. Nagamune 10.1016/j.jweia.2019.06.015
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- Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
- Smart cooperative control scheme for large-scale wind farms based on a double-layer machine learning framework S. Yang et al. 10.1016/j.enconman.2023.116949
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- Design of the American Wake Experiment (AWAKEN) field campaign M. Debnath et al. 10.1088/1742-6596/2265/2/022058
- Reconstruction of environmental site conditions by the integration of SCADA and reanalysis data A. Vad & C. Bottasso 10.1088/1742-6596/2767/9/092073
- Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-7-345-2022
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Latest update: 16 Sep 2024
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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