Analysis of Power Quality (PQ) Signals by Continuous Wavelet Transform

This paper presents application of continuous wavelet transform to identify power system transients and disturbances. A mother wavelet basis function (Littlewood-Paley (L-P)) with dyadic non- overlapping frequency bands has been used. A few power signals with power quality (PQ) disturbances have been analyzed to show the effectiveness of the proposed technique. The purpose of the paper is to highlight an alternative way of PQ signal analysis, which enables to identify the duration of disturbance accurately. Classification of various power quality disturbances is also possible through this time- frequency based wavelet analysis.

[1]  B. Basu,et al.  SEISMIC RESPONSE OF SDOF SYSTEMS BY WAVELET MODELING OF NONSTATIONARY PROCESSES , 1998 .

[2]  R. J. Peppin.  An Introduction to Random Vibrations, Spectral and Wavelet Analysis , 1994 .

[3]  Pat Bodger,et al.  Power System Harmonics , 2003 .

[4]  S. Santoso,et al.  Power quality assessment via wavelet transform analysis , 1996 .

[5]  Dianguo Xu,et al.  Power quality disturbance recognition using stransforms and FCM-based decision tree , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[6]  Chia-Hung Lin,et al.  Adaptive wavelet networks for power-quality detection and discrimination in a power system , 2006 .

[7]  Edward J. Powers,et al.  Electric power quality disturbance detection using wavelet transform analysis , 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

[8]  Khashayar Khorasani,et al.  Fault identification in an AC-DC transmission system using neural networks , 1991 .

[9]  Rengang Yang,et al.  Power-Quality Disturbance Recognition Using S-Transform , 2007, IEEE Transactions on Power Delivery.

[10]  Charles K. Chui,et al.  An Introduction to Wavelets , 1992 .

[11]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[12]  J. S. Mayer,et al.  Wavelets and electromagnetic power system transients , 1996 .

[13]  M. R. Iravani,et al.  Wavelet based on-line disturbance detection for power quality applications , 2000 .

[14]  H. He,et al.  A self-organizing learning array system for power quality classification based on wavelet transform , 2006, IEEE Transactions on Power Delivery.