Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems

A. M. Gaouda; M. M.A. Salama; M. R. Sultan; A. Y. Chikhani

doi:10.1109/61.852972

Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems

A. M. Gaouda, M. M.A. Salama, M. R. Sultan, A. Y. Chikhani

Department of Electrical and Communication Engineering

Research output: Contribution to journal › Article › peer-review

106 Citations (Scopus)

Abstract

The multiresolution signal decomposition (MRA) technique is introduced as a powerful tool for detecting, classifying and quantifying the short duration variations in. the 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.

Original language	English
Pages (from-to)	478-485
Number of pages	8
Journal	IEEE Transactions on Power Delivery
Volume	15
Issue number	2
DOIs	https://doi.org/10.1109/61.852972
Publication status	Published - Apr 1 2000

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/61.852972

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AB - The multiresolution signal decomposition (MRA) technique is introduced as a powerful tool for detecting, classifying and quantifying the short duration variations in. the 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.

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Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems

Abstract

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