Title :
An automatic voltage sag detector using a discrete wavelet transform and a CFAR detector
Author :
Chung, Jaehak ; Powers, Edward J. ; Grady, W.M. ; Bhatt, Siddharth C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
The authors present a novel algorithm for a voltage sag detector on transmission and distribution lines. A wavelet transform is utilized to extract voltage sag disturbances from a fundamental 60 Hz sinusoidal wave, and a SG-CA CFAR (stop-and-go cell average constant false alarm rate) detector detects the starting and ending time of the voltage sag. Based on this result, they calculate precise sag duration for both transmission and distribution lines. This algorithm is tested using actual data and the results are compared with previous hard threshold-based wavelet sag detector.
Keywords :
fault location; power distribution lines; power supply quality; power system faults; power system measurement; power system transients; power transmission lines; wavelet transforms; 60 Hz; SG-CA CFAR; distribution lines; power quality; sag duration; stop-and-go cell average constant false alarm rate; transmission lines; voltage sag detector; voltage sag disturbances extraction; wavelet transform; Background noise; Detection algorithms; Discrete wavelet transforms; Envelope detectors; Power quality; Signal resolution; Testing; Voltage fluctuations; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Power Engineering Society Summer Meeting, 2001
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-7173-9
DOI :
10.1109/PESS.2001.970125
