Wavelet-Based Method for Transmission Line Fault Detection and Classification during Power Swing
نویسندگان
چکیده
Power swing caused by various disturbances will affect distance relay behavior and may result in relay misoperation. This paper provides a new wavelet-based method for detection and classification of transmission line faults during power swing. The multi-resolution analysis based on wavelet transform (WT) has the ability to decompose the analyzed signals into different frequency bands. With the wavelet transform of the voltage and current signals acquired by distance relays, the different faults will be identified by feature extracting from the D5 component of Daubechies-8 (Db8) wavelet. The proposed approach is verified by using IEEE reference model implemented using EMTP. The test results, which include ground fault and phase fault, have been presented in this paper. This proposed method can be used for relay operation blocking or monitoring.
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