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