Nonlinear control of the doubly-fed induction generator in wind power systems

被引：45

作者：

Soares, Orlando ^{[2
]}

Goncalves, Henrique ^{[1
]}

Martins, Antonio ^{[1
]}

Carvalho, Adriano ^{[1
]}

机构：

[1] Univ Porto, Fac Engn, P-4200465 Oporto, Portugal

[2] Inst Politecn Braganca, P-5301854 Braganca, Portugal

来源：

RENEWABLE ENERGY | 2010年 / 35卷 / 08期

关键词：

Doubly-fed induction generator; Neural network control; Power flow; Voltage ride-through; Wind energy;

D O I：

10.1016/j.renene.2009.12.008

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper describes the models of a wind power system, such as the turbine, generator, power electronics converters and controllers, with the aim to control the generation of wind power in order to maximize the generated power with the lowest possible impact in the grid voltage and frequency during normal operation and under the occurrence of faults. The presented work considers a wind power system equipped with the doubly-fed induction generator and a vector-controlled converter connected between the rotor and the grid. The paper presents comparative results between proportional-integral controllers and neural networks based controllers, showing that better dynamic characteristics can be obtained using neural networks based controllers. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1662 / 1670

页数：9

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