DocumentCode :
2835545
Title :
Current vector trajectory analysis for dip voltage fault detection and identification: Application to wind generator turbine
Author :
Adouni, Amel ; Diallo, Demba ; Sbita, Lassaad
Author_Institution :
Lab. Syst. Photovoltaique, Eolien et Geothermique (SPEG), Gabes, Tunisia
fYear :
2015
fDate :
17-19 March 2015
Firstpage :
3226
Lastpage :
3231
Abstract :
This paper proposes a non-parametric method to detect grid voltage dip in a Wind Turbine Generator. The method is based on the analysis of the grid currents vector trajectory in the stationary reference frame. Two features (amplitude variation and angle deviation) are extracted for Fault Detection and Isolation. The approach is validated through simulation results of a Doubly Fed Induction Generator. The results show that the method is robust to parameter and load variations. The fault detection time duration is less than one cycle.
Keywords :
asynchronous generators; fault diagnosis; vectors; wind turbines; amplitude variation; angle deviation; doubly fed induction generator; fault detection time duration; fault isolation; grid currents vector trajectory; grid voltage dip; load variations; nonparametric method; parameter variations; stationary reference frame; wind turbine generator; Fault detection; Generators; Rotors; Stators; Trajectory; Voltage fluctuations; Wind turbines; Concordia transformation; Dip voltage; Wind turbine generator; fault detection; fault identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
Type :
conf
DOI :
10.1109/ICIT.2015.7125575
Filename :
7125575
Link To Document :
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