A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control

A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control

Nonlinear characteristics of wind turbines and electric generators necessitate complicated and nonlinear control of grid connected Wind Energy Conversion Systems (WECS). This paper proposes a modified self-tuning PID control strategy, using reinforcement learning for WECS control. The controller e...

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Bibliographic Details
Main Authors: REZAZADEH, A., SEDIGHIZADEH, M.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2010-05-01
Series:Advances in Electrical and Computer Engineering
Subjects:
control
reinforcement
neural network
wavelet
wind energy
Online Access:http://dx.doi.org/10.4316/AECE.2010.02027

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