DocumentCode :
602132
Title :
Fault detection and diagnosis of eccentricity in a wind generator
Author :
Merabet, H. ; Bahi, Tahar ; Soufi, Youcef
Author_Institution :
Unit of Res. in Ind. Technol., Badji Mokhtar Univ., Annaba, Algeria
fYear :
2013
fDate :
27-30 March 2013
Firstpage :
1
Lastpage :
6
Abstract :
The variable speed electrical drives based on doubly-fed induction generator are more and more used in the field of renewable energy thanks to their robustness and high efficiency. However, despite their advantages, they are subjected during function to several constraints of different nature including, mechanical faults are statistically the most frequent of these faults, there are mainly the eccentricity faults which are defined by a variation of the air gap of the machine. Failure of eccentricity with its variants has been extensively studied for the case of an induction machine with squirrel cage. we consider in this paper to take account of the specificities and characteristics of the doubly-fed induction generator, for develop an analytical model that describes as precisely as possible the machine performance in the healthy case and fault eccentricity. So, we are particularly interested in developing this model and the global modeling of the wind chain. Validated by numerical simulations of the models developed is presented and the simulations results are be discussed.
Keywords :
asynchronous generators; fault diagnosis; numerical analysis; variable speed drives; wind power plants; doubly-fed induction generator; eccentricity faults; fault detection; fault diagnosis; induction machine; machine air gap; mechanical faults; numerical simulations; renewable energy; squirrel cage; variable speed electrical drives; wind chain global modeling; wind generator; Fault detection; Mathematical model; Numerical models; Rotors; Stators; Torque; Wind turbines; Diagnosis; Eccentricity; Modeling; Renewable energy; Simulation; doubly-fed induction generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on
Conference_Location :
Monte Carlo
Print_ISBN :
978-1-4673-5269-7
Type :
conf
DOI :
10.1109/EVER.2013.6521522
Filename :
6521522
Link To Document :
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