Title of article :
Wavelet-based fuzzy reasoning approach to power-quality disturbance recognition
Author/Authors :
Zhu، نويسنده , , T.X. Tso، نويسنده , , S.K. Lo، نويسنده , , K.L. ، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
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.
Keywords :
Energy , Fuzzy reasoning , Orthogonal wavelets , power-quality disturbance.
Journal title :
IEEE TRANSACTIONS ON POWER DELIVERY
Journal title :
IEEE TRANSACTIONS ON POWER DELIVERY