DocumentCode :
1767558
Title :
Diagnosis of stator high-resistance connections in Wound Rotor Induction Machines for WECS
Author :
Gritli, Y. ; Rossi, Claudio ; Zarri, Luca ; Mengoni, Michele ; Filippetti, Fiorenzo ; Casadei, Domenico ; Capolino, Gerard-Andre
Author_Institution :
Dept. of Electr., Electron. & Inf. Eng. G. Marconi-DEI, Univ. of Bologna, Bologna, Italy
fYear :
2014
fDate :
1-4 June 2014
Firstpage :
775
Lastpage :
780
Abstract :
Design of modern Wind Energy Conversion Systems (WECSs) must take into account two crucial aspects: efficient control strategies and reliable monitoring and diagnosis techniques. Wind turbine generators based on Wound Rotor Induction Machine (WRIM) is actually the preferred technology mainly because of the lower rating of the power converter connected to the rotor side. With the association of a back-to back converter on the rotor side a Stator-Flux-Oriented-Control (SFOC) system can be used to obtain a decoupled control of the active and reactive power on the stator side with high efficiency. Faults detection at incipient stage in this power-generation system is mandatory to prevent unscheduled downtimes. In this paper, a convenient time-frequency analysis of the rotor modulating signals is confirmed by experimental results. The proposed system is suitable to be easily embedded in the power-converter digital control system at very low cost.
Keywords :
asynchronous machines; digital control; direct energy conversion; fault diagnosis; machine vector control; power convertors; power generation control; power generation reliability; reactive power control; rotors; stators; time-frequency analysis; wind power plants; wind turbines; SFOC system; WECS; WRIM; active power control; back-to back converter; convenient time-frequency analysis; power-converter digital control system; reactive power control; reliable diagnosis technique; reliable monitoring technique; rotor modulating signals; stator high-resistance connection diagnosis; stator-flux-oriented-control system; unscheduled downtime prevention; wind energy conversion systems; wind turbine generators; wound rotor induction machines; Circuit faults; Rotors; Signal resolution; Stator windings; Time-frequency analysis; Wavelet analysis; Diagnosis; Wound-Rotor Induction Machine; signal processing; stator faultvarying conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/ISIE.2014.6864710
Filename :
6864710
Link To Document :
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