OPTIMIZATION OF WIND TURBINE OPERATION USING MACHINE LEARNING
DOI:
https://doi.org/10.24867/08BE16RasetaKeywords:
windturbine, optimization, machine learningAbstract
The focus of this paper is on wind energy and optimization of wind turbine operation. In particular, the problem is directed towards a yaw control system, which presents one of the key factors for energy production. The problem of yaw misalingement is especially observed (calibration and optimization of the angle of the wind direction measuring device located on the nacelle). Machine learning was used to solve this problem, followed by the simulation results with a conclusion.
References
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[2] N. Mittelmeier,M. Kühn, “ Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data”, Wind Energ. Sci., 3, 395–408, 2018
[3] Y. Bengio I. Goodfellow and A. Courville,“Deep learning“ In MA:MIT Press, 2016.
[5] A.S.Aguirre, E.Zulueta, U.F. Gamiz, J. Lozano, J.M. Lopez-Guede,“Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control”, Energies 12(3):436, January 2019
[2] N. Mittelmeier,M. Kühn, “ Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data”, Wind Energ. Sci., 3, 395–408, 2018
[3] Y. Bengio I. Goodfellow and A. Courville,“Deep learning“ In MA:MIT Press, 2016.
[5] A.S.Aguirre, E.Zulueta, U.F. Gamiz, J. Lozano, J.M. Lopez-Guede,“Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control”, Energies 12(3):436, January 2019
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Published
2020-05-27
Issue
Section
Electrotechnical and Computer Engineering
