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