This paper introduces a new diagnostic technique for the detection of incipient electrical rotor faults in doubly fed induction Machine (DFIM) for wind power systems. In the considered application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method based on the rotor modulating signals pre-processing by Frequency Sliding (FS), and Discrete Wavelet Transform (DWT) thereby is here proposed to detect rotor faults dynamically over time. Experimental results demonstrate the effectiveness of the proposed approach under timevarying conditions.
Fault Diagnosis Based on Wavelet Technique for Wind Energy Conversion Systems Equipped with DFIG / Y. Gritli; C. Rossi; F. Filippetti; L. Zarri; D. Casadei; A. Chatti. - ELETTRONICO. - 1:(2011), pp. 1-6. (Intervento presentato al convegno CIGRE 2011 Symposium: The Electric Power System of the Future - Integrating Supergrids and Microgrids tenutosi a Bologna Italy nel 13-15 Settembre 2011).
Fault Diagnosis Based on Wavelet Technique for Wind Energy Conversion Systems Equipped with DFIG
GRITLI, YASSER;ROSSI, CLAUDIO;FILIPPETTI, FIORENZO;ZARRI, LUCA;CASADEI, DOMENICO;
2011
Abstract
This paper introduces a new diagnostic technique for the detection of incipient electrical rotor faults in doubly fed induction Machine (DFIM) for wind power systems. In the considered application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method based on the rotor modulating signals pre-processing by Frequency Sliding (FS), and Discrete Wavelet Transform (DWT) thereby is here proposed to detect rotor faults dynamically over time. Experimental results demonstrate the effectiveness of the proposed approach under timevarying conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
