DocumentCode :
709520
Title :
Dip voltage fault detection and identification for wind generator turbine farm based on current vector trajectory analysis
Author :
Adouni, Arnel ; Diallo, Demba ; Sbita, Lassaad
Author_Institution :
Syst. Photovoltaique Eolien et Geothermique Ecole Nat. d´Ing. de Gabes (SPEG), Univ. of Gabes, Gabes, Tunisia
fYear :
2015
fDate :
24-26 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper focuses on the voltage dip diagnosis in a Wind Generator Turbine Farm. The proposed approach is based on the analysis of the grid currents vector trajectory in the stationary reference frame. Two features are used; the diameter variation for fault detection and the angle deviation for fault isolation. The approach is validated through simulation results of a two Doubly Fed Induction Generator and generalized for N Machines.
Keywords :
asynchronous generators; fault diagnosis; power generation faults; wind power plants; angle deviation; current vector trajectory analysis; dip voltage fault detection; doubly fed induction generator; fault identification; fault isolation; grid currents vector trajectory; stationary reference frame; voltage dip diagnosis; wind generator turbine farm; Fault detection; Fault diagnosis; Stators; Trajectory; Voltage fluctuations; Wind energy; Wind turbines; Wind Generator Turbine Farm; current analysis; dip voltage; fault detection and identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable Energy Congress (IREC), 2015 6th International
Conference_Location :
Sousse
Type :
conf
DOI :
10.1109/IREC.2015.7110908
Filename :
7110908
Link To Document :
بازگشت