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access icon openaccess Online data-driven approach of yaw error estimation and correction of horizontal axis wind turbine

This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Received 29/10/2018, Accepted 10/01/2019, Published 15/03/2019

Active yaw system is a very important component of modern horizontal axis wind turbines to keep the nacelle aligning with the stochastic wind direction. However, in practice, it is hard to keep the rotor facing into the wind precisely, which will lead to not only the loss in power production but the increment in aerodynamic loads. This study presents a data-driven approach to estimate yaw error for remote terminal unit.

Inspec keywords: aerodynamics; wind turbines; rotors

Other keywords: correction; horizontal axis wind turbine; active yaw system; online data-driven approach; modern horizontal axis wind; stochastic wind direction; yaw error estimation; turbines

Subjects: Fluid mechanics and aerodynamics (mechanical engineering); Wind power plants; Power and plant engineering (mechanical engineering); Mechanical components; Control of electric power systems

References

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      • 1. Hure, N., Turnar, R., Vasak, M., et al: ‘Optimal wind turbine yaw control supported with very short-term wind predictions’. IEEE Int. Conf. on Industrial Technology, Seville, Spain, 2015.
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      • 4. Fleming, P., Scholbrock, A., Jehu, A., et al: ‘Field-test results using a nacelle-mounted lidar for improving wind turbine power capture by reducing yaw misalignment’, J. Phys., Conf. Ser., 2014, 524, pp. 1–10.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.9293
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