Maximum wind power tracking for PMSG chaos systems - ADHDP method

被引：13

作者：

Wu, Zhong-Qiang ^{[1
]}

Jia, Wen-Jing ^{[1
]}

Zhao, Li-Ru ^{[1
]}

Wukey, Chang-Han ^{[1
]}

机构：

[1] Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Peoples R China

来源：

APPLIED SOFT COMPUTING | 2015年 / 36卷

关键词：

Permanent Magnet Synchronous Generator (PMSG); Chaotic behavior; Maximum wind power; Action Dependent Heuristic Dynamic Programming (ADHDP);

D O I：

10.1016/j.asoc.2015.07.024

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aiming at the chaotic behavior of PMSG under certain parameters, the new ADHDP method based on Cloud RBF neural network is proposed to track the point of maximum wind power, which can make the system out of chaos and track the point of maximum power stably, and the optimal control problems of the complex nonlinear system can be solved effectively. This method is realized by using the optimal power-speed curve and the vector control principle, and by adjusting the stator output voltage to control the electromagnetic torque, then the rotor speed of wind turbine can operate at the optimal speed that corresponds to the point of maximum power, meanwhile, the measure of wind speed also can be avoided. The simulation results show the effectiveness of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：204 / 209

页数：6

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