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Wavelet-based fuzzy reasoning approach to power-quality disturbance recognition

Zhu, T.X. and Tso, S.K. and Lo, K.L. (2004) Wavelet-based fuzzy reasoning approach to power-quality disturbance recognition. IEEE Transactions on Power Delivery, 19 (4). pp. 1928-1935. ISSN 0885-8977

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Abstract

This paper proposes a wavelet-based extended fuzzy reasoning approach to power-quality disturbance recognition and identification. To extract power-quality disturbance features, the energy distribution of the wavelet part at each decomposition level is introduced and its calculation mathematically established. Based on these features, rule bases are generated for extended fuzzy reasoning. The power-quality disturbance features are finally mapped into a real number, in terms of which different power-quality disturbance waveforms are classified. Numerical results obtained from a large database show that the disturbance waveforms such as high- and low-frequency capacitor switching, voltage sag, impulsive transient, transformer energizing, and perfect sine waveform can all be correctly identified. The effect of the amplitude and frequency content of power-quality disturbance on the energy distribution patterns and the effect of noise on classification accuracy are also discussed in the paper.

Item type: Article
ID code: 4663
Keywords: capacitor switching, fuzzy set theory, inference mechanisms power supply, wavelet transforms, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 08 Nov 2007
    Last modified: 04 Sep 2014 16:06
    URI: http://strathprints.strath.ac.uk/id/eprint/4663

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