Title :
Generalized Likelihood Ratio Test for Voltage Dip Detection
Author :
Moschitta, Antonio ; Carbone, Paolo ; Muscas, Carlo
Author_Institution :
Dept. of Electron. & Inf. Eng., Univ. of Perugia, Perugia, Italy
fDate :
5/1/2011 12:00:00 AM
Abstract :
An alternative detection algorithm, based on the generalized likelihood ratio test (GLRT), is proposed for the detection of voltage dips in power systems. The proposed method is compared to the classical approaches based on the voltage root mean square. It is shown that the GLRT may provide competitive performance in terms of capability of correctly detecting the dip starting instant. A DSP-based experimental setup for the implementation of the method is also presented.
Keywords :
least mean squares methods; power supply quality; power system faults; DSP; GLRT; generalized likelihood ratio test; power systems; voltage dip detection; voltage root mean square; Detectors; Estimation; Harmonic analysis; Noise; Threshold voltage; Voltage fluctuations; Wavelet analysis; Detection; IEC 61000-4-30; generalized likelihood ratio test (GLRT); power quality (PQ); voltage dips;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2011.2113110