DocumentCode :
1459900
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
Volume :
60
Issue :
5
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
1644
Lastpage :
1653
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;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2011.2113110
Filename :
5720522
Link To Document :
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