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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 11    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 11, November 2011
Application of Wavelet Transform for Power Quality Studies of Signal Notches in Weak AC System
Full Text(PDF, 3000)  PP.  
S.Debdas, M.F.Qureshi
Dyadic analysis, Filters, Notches, Wavelet transform
The emergence of power quality as a topical issue in power systems in the 1990s largely coincides with the huge advancements achieved in the computing technology and information theory. This unsurprisingly has spurred the development of more sophisticated instruments for measuring power quality disturbances and the use of new methods in processing the measurements. Fourier theory was the core of many traditional techniques and it is still widely used today. However, it is increasingly being replaced by newer approaches notably wavelet transform and especially in the post-event processing of the time-varying phenomena. This article reviews the use of wavelet transform approach in processing power quality data. The power quality disturbances like sag, swell, notch, spike, transients and chirp and analyzed using various transform techniques such as Chriplet transform, S-transform and Wavelet transform. Wavelet transform has received greater attention in power quality as this is well suited for analyzing certain types of transient waveforms. In this paper, Multi-Resolution Analysis technique (MRA) is used to decompose the disturbances. The detection of signal notches in weak utility system is a difficulty of power quality detection. Also it is the focus of power quality detection research. A new strategy of wavelet transformation is used to realize the detection of power quality disturbance is mentioned. Daubechies wavelet transformation and dyadic filter based multi resolution algorithm are used in wavelet arithmetic. This paper will demonstrate an application of wavelet transform in this area which is superior in many respects to the earlier methods.
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