Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Neural Network Control Methods of Wind Energy Conversion Systems

Authors
Tai Li, Xiaoyan Hou, Li Zhao, Qixiang Wang, Dianfei Xie, Hai-Jian Liu
Corresponding Author
Tai Li
Available Online November 2014.
DOI
10.2991/meic-14.2014.72How to use a DOI?
Keywords
Wind energy conversion systems;Maximum wind energy capture;Neural network; Constant power;Multi-variable control
Abstract

Wind energy has become one of the most widely deployed sources of sustainable energy, using larger wind turbines to convert kinetic energy into electricity has significantly increased, however, the wind turbines control technology is still lagging behind and needs to be improved. The advanced control technology can improve the power grid reliability, maximize energy capture, and ensure safe operation of the wind turbines . Neural network control methods of wind energy conversion systems are given in this paper. Focusing on the maximum wind energy capture control based on neural network methods, shortcomings and deficiencies of the conventional control methods for the wind energy conversion systems are compared. Constant power control and multi-variable control based on neural network methods are given also. Finally, the neural network control methods of wind energy conversion systems are summarized, and a guide to the neural network control of wind energy conversion systems is provided .

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
10.2991/meic-14.2014.72
ISSN
2352-5401
DOI
10.2991/meic-14.2014.72How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tai Li
AU  - Xiaoyan Hou
AU  - Li Zhao
AU  - Qixiang Wang
AU  - Dianfei Xie
AU  - Hai-Jian Liu
PY  - 2014/11
DA  - 2014/11
TI  - Neural Network Control Methods of Wind Energy Conversion Systems
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 320
EP  - 323
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.72
DO  - 10.2991/meic-14.2014.72
ID  - Li2014/11
ER  -