DocumentCode :
1774986
Title :
Fault diagnosis based on current signature analysis for stator winding of Doubly Fed Induction Generator in wind turbine
Author :
Lulu Wang ; Yong Zhao ; Wei Jia ; Bin Han ; Yiying Liu ; Tanaka, T. ; Yonghong Cheng ; Yu Chen
Author_Institution :
State Key Lab. of Electr. Insulation & Power Equip., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
233
Lastpage :
236
Abstract :
With the development of wind power industry, early detection and diagnosis of incipient faults are desirable for the wind generators. A suitable model enables generator faults to be simulated and it is particularly useful for gaining an insight into their dynamic behavior and electro-mechanical interaction. In this paper a model of DFIG (Doubly-Fed Induction Generator) affected by stator inter-turn short circuit fault is presented. The mathematical model is established to simulate healthy and inter-turn fault conditions based on synchronous rotating reference frame. In the simulation, the negative-sequence component of stator currents and phase differences between any two phases are as detection features. The results of the simulation confirmed the validity of the model.
Keywords :
asynchronous generators; electromechanical effects; fault diagnosis; short-circuit currents; stators; turbogenerators; wind turbines; DFIG; current signature analysis; doubly fed induction generator; electro-mechanical interaction; fault diagnosis; generator faults; mathematical model; negative-sequence component; phase differences; stator currents; stator inter-turn short circuit fault; stator winding; synchronous rotating reference frame; wind generators; wind turbine; Generators; Stators; Windings; Current Signature Analysis; DFIG; Negative-sequence Current; Phase Differences; Turn-to-turn Short Circuit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulating Materials (ISEIM), Proceedings of 2014 International Symposium on
Conference_Location :
Niigata
Type :
conf
DOI :
10.1109/ISEIM.2014.6870761
Filename :
6870761
Link To Document :
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