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Power Quality Problem Classification Using Wavelet
Transformation and Artificial works
W. Kanitpanyacharoean and S. Premrudeepreechacharn, Member, IEEE
equipment. In this paper, the power quality problems are
Abstract-- This paper presents a classification method for power considered 6 types: impulsive transient, momentary
quality problems in electrical power systems. To improve the interruption, voltage sag, voltage swell, notching, and
electric power quality, sources of disturbances must be known harmonic distortions as described in [11] as shown in Fig. 1.
and controlled. Power quality disturbance waveform recognition This is a study power quality problem classification
is often troublesome because it involves a broad range of using wavelet transformation and artificial works.
disturbance categories or classes. This is a study of power quality
First, the wavelet transformation is described. Then, the paper
problem classification using wavelet transformation and artificial
works. After training works, the weight and describes the structure of artificial works, the
bias is obtained for using to classify the power quality problems. training procedures. Next, the performance of artificial neural
bined wavelet transformation with works works is evaluated by simulation. Finally, the conclusion of
able to classify all 6 types for power quality