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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/65

Title: Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner
Authors: Dash, P K
Mishra, S
Salama, M M A
Liew, A C
Keywords: EMTP
Fourier analysis
fuzzy systems
power system faults
Issue Date: Apr-2000
Publisher: IEEE
Citation: IEEE Transactions on Power Delivery, Vol 15, Iss 2 P 472-477
Abstract: This paper presents a hybrid scheme using a Fourier linear combiner and a fuzzy expert system for the classification of transient disturbance waveforms in a power system. The captured voltage or current waveforms are passed through a Fourier linear combiner block to provide normalized peak amplitude and phase at every sampling instant. The normalized peak amplitude and computed slope of the waveforms are then passed on to a diagnostic module that computes the truth value of the signal combination and determines the class to which the waveform belongs. Several numerical tests have been conducted using EMTP programs to validate the disturbance waveform classification with the help of the new hybrid approach which is much simpler than the recently postulated ANN or wavelet based approaches
Description: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI: http://hdl.handle.net/2080/65
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