Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control

Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control

This paper introduces a novel data driven yaw control algorithm synthesis method based on Reinforcement Learning (RL) for a variable pitch variable speed wind turbine. Yaw control has not been extendedly studied in the literature; in fact, most of the currently considered developments in the scope o...

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Bibliographic Details
Main Authors: Aitor Saenz-Aguirre, Ekaitz Zulueta, Unai Fernandez-Gamiz, Javier Lozano, Jose Manuel Lopez-Guede
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Energies
Subjects:
wind turbine control
yaw control
reinforcement learning
artificial neural network
Online Access:https://www.mdpi.com/1996-1073/12/3/436

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