DocumentCode :
1361018
Title :
Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems
Author :
Gaouda, A.M. ; Salama, M.M.A. ; Sultan, M.R. ; Chikhani, A.Y.
Author_Institution :
Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
15
Issue :
2
fYear :
2000
fDate :
4/1/2000 12:00:00 AM
Firstpage :
478
Lastpage :
485
Abstract :
The multiresolution signal decomposition (MRA) technique is introduced as a powerful tool for detecting, classifying and quantifying the short duration variations in an electrical distribution system. Using the proposed technique, one will have the ability to measure the magnitude and duration of the signal during SDV events. Furthermore, the total harmonic distortion and the DC offset can also be measured. The information gained at different resolution levels and the measured values by the proposed technique can be used to distinguish among similar power quality phenomena and may help in finding the source of disturbance
Keywords :
distribution networks; harmonic distortion; monitoring; power supply quality; power system faults; power system harmonics; power system measurement; signal processing; distribution systems; multiresolution signal decomposition; power quality phenomena; short-duration variations monitoring; signal duration; signal magnitude; total harmonic distortion; Distortion measurement; Military computing; Monitoring; Power engineering and energy; Power engineering computing; Power quality; Signal analysis; Signal resolution; Wavelet analysis; Wavelet coefficients;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.852972
Filename :
852972
Link To Document :
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