DocumentCode
3510224
Title
Voltage Event Detection and Characterization Methods: A Comparative Study
Author
Pérez, Enrique ; Barros, Julio
Author_Institution
Dept. of Electron. & Comput., Cantabria Univ., Santander
fYear
2006
fDate
15-18 Aug. 2006
Firstpage
1
Lastpage
6
Abstract
The paper presents a comparative study of the most commonly used methods of detection and analysis of voltage events in power systems. The performance of the rms method, the fundamental component estimation using discrete Fourier transform and Kalman filtering and the use of wavelet analysis for detection and estimation of magnitude and duration of voltage events, are studied under simulation using voltage dips of different magnitude, duration and point-on-wave of beginning in a pure sinusoidal voltage supply and also for a voltage supply with different harmonic distortion levels. The methods employed are also tested using real voltage events measured in a low voltage distribution system discussing the results obtained
Keywords
Kalman filters; discrete Fourier transforms; distribution networks; power harmonic filters; wavelet transforms; Kalman filtering; discrete Fourier transform; fundamental component estimation; harmonic distortion levels; low voltage distribution system; rms method; voltage dips; voltage event detection; voltage events analysis; wavelet analysis; Discrete Fourier transforms; Discrete wavelet transforms; Event detection; Filtering; Kalman filters; Power harmonic filters; Power system analysis computing; Power system simulation; Voltage; Wavelet analysis; Fourier Transform; Kalman filtering; Power Quality; RMS; Wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
Conference_Location
Caracas
Print_ISBN
1-4244-0287-5
Electronic_ISBN
1-4244-0288-3
Type
conf
DOI
10.1109/TDCLA.2006.311552
Filename
4104483
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