Title :
Statistical Properties of Voltage Dip Detectors
Author :
Guerrieri, Gianluca ; Moschitta, Antonio ; Carbone, Paolo ; Muscas, Carlo
Author_Institution :
Dept. of Electron. & Inf. Eng., Univ. of Perugia, Perugia, Italy
Abstract :
In this paper, some statistical properties of procedures defined to detect voltage dips in electric power systems are discussed. First, a theoretical model of the root-mean-square based test proposed in the IEC 61000-4-30 is provided and validated. Then, an alternative detection algorithm, based on the Generalized Likelihood Ratio Test (GLRT), is proposed, and compared to the 61000-4-30 test. It is shown that the GLRT may provide competitive performance, in terms of Receiver Operating Characteristic (ROC), if compared to the standardized procedure.
Keywords :
power supply quality; statistical analysis; IEC 61000-4-30; electric power systems; generalized likelihood ratio test; power quality; receiver operating characteristic; root-mean-square based test; statistical properties; voltage dip detectors; Detectors; Harmonic analysis; IEC standards; Monte Carlo methods; Signal to noise ratio; Threshold voltage; Voltage fluctuations; Generalized Likelihood Ratio Test (GLRT); IEC 61000-4-30; Power Quality (PQ); root-mean-square (rms); voltage dips;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2010.2060770
