Title :
New robust voltage sag disturbance detector using an adaptive prediction error filter
Author :
Chung, Jaehak ; Powers, Edward J. ; Grady, W. Mack ; Bhatt, Siddharth C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
This paper presents a robust power disturbance detection algorithm. The power line disturbance is extracted from the steady-state 60 Hz and harmonics background using an adaptive prediction error filter. In order to detect the disturbance, a stop-and-go CA CFAR detector algorithm is utilized. The algorithm is demonstrated via simulations, and actual power transmission line data are utilized to demonstrate its performance and to compare the performance to wavelet-based detectors
Keywords :
adaptive filters; power filters; power supply quality; power transmission faults; power transmission lines; 60 Hz; adaptive prediction error filter; computer simulation; detection performance; harmonics background; power line disturbance detection algorithm; robust voltage sag disturbance detector; stop-and-go CA CFAR detector algorithm; Adaptive filters; Data mining; Detection algorithms; Detectors; Power harmonic filters; Power system harmonics; Power transmission lines; Robustness; Steady-state; Voltage fluctuations;
Conference_Titel :
Power Engineering Society Summer Meeting, 1999. IEEE
Conference_Location :
Edmonton, Alta.
Print_ISBN :
0-7803-5569-5
DOI :
10.1109/PESS.1999.784403
