Neural Network Control Methods of Wind Energy Conversion Systems

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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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  -