The Pitch Control Strategy with the Clonal Selection on Quantum Genetic Algorithm-Reference-Cited by-同舟云学术

The Pitch Control Strategy with the Clonal Selection on Quantum Genetic Algorithm

Published:2012-07 Issue: Volume:190-191 Page:1195-1197
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Wang Huan¹,Zhang Da Tong²,Dong Jian¹,Li Yong Zhan¹

Affiliation:

1. Guodian United Power Technology Company Limited

2. Guodian United Power Technology Co., Ltd.

Abstract

This chapter reviews the objectives and techniques used in the control of wind turbines at the individual turbine level, where controls are applied to the turbine blade pitch and generator. The paper analyses the control strategy of the wind power generation, optimizes the power output energy conversion factor of the optimal tip-speed ratio and the optimal tip-speed ratio using the clonal selection on quantum genetic algorithm. After reviewing basic turbine control objectives, we provide an overview of the common basic linear control approaches and then describe more advanced control architectures and why they may provide significant advantages.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.190-191.1195.pdf

Reference5 articles.

1. Liu Wei, Shen Hong, Gao Li-gang. Study on direct torque control of brushless doubly-fed machines used for wind power generation [J]. Power system protection and Control, 2010, 38(5): 77-81.

2. Wang Wen-liang, Ge Bao-ming, Bi Da-qiang. Energy storage based direct-drive permanent magnet synchronous wind power control system. [J]. Power system protection and Control, 2010, 38(14): 43-48.

3. LIN W M, HONG C M. Intelligent approach to maximum power point tracking control strategy for variable-speed turbine generation system [J]. Energy, 2010, 35(6): 2440-2447.

4. Li Shao-lin, Zhang Xing. Study on the Third Harmonic Power Pulsation in Double-Fed Wind Power Generation System [J]. Power System Technology, 2010, 34(4): 37-42.

5. Zhang Jian-zhong, Cheng Ming. Maximum Wind Energy Tracking of Permanent Magnet Wind Power Generator Based on Non-Linear Controller [J]. Power System Technology, 2010, 34(6): 181-185.