TS-fuzzy controlled DFIG based Wind Energy Conversion Systems

被引：0

作者：

Mishra, S. ^{[1
]}

Mishra, Y. ^{[2
,3
]}

Li, Fangxing ^{[4
]}

Dong, Z. Y. ^{[5
]}

机构：

[1] Indian Inst Technol Delhi, Dept Elect Engn, Delhi, India

[2] Univ Queensland, IEEE, Brisbane, Qld 4072, Australia

[3] Univ Tennessee, Knoxville, TN 37996 USA

[4] Univ Tennessee, Dept Elect Engn, Knoxville, TN 37996 USA

[5] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China

来源：

2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8 | 2009年

关键词：

Doubly Fed Induction Generator (DFIG); Wind Turbine (WT); dynamic system stability; TS fuzzy controller; damping controller; FED INDUCTION GENERATOR; POWER-SYSTEMS; LOGIC;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper focuses on the implementation of the TS (Tagaki-Sugino) fuzzy controller for the active power and the DC capacitor voltage control of the Doubly Fed Induction Generator (DFIG) based wind generator. DFIG system is represented by a third-order model where electromagnetic transients of the stator are neglected. The effectiveness of the TS-fuzzy controller on the rotor speed oscillations and the DC capacitor voltage variations of the DFIG damping controller on converter ratings of the DFIG system is also investigated. The results of the time domain simulation studies are presented to elucidate the effectiveness of the TS-fuzzy controller compared with conventional PI controller in the DFIG system. The proposed TS-fuzzy controller can improve the fault ride through capability of DFIG compared to the conventional PI controller.

引用

页码：815 / +

页数：2

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