Performance Evaluation of Real Power Quality Disturbances Analysis Using S-Transform

Abstract:

Power quality is main issue because of the impact to electricity suppliers, equipments, manufacturers and user.To solve the power quality problem, an analysis of power quality disturbances is required to identify and rectify any failures on power system. Most of researchers apply fourier transform in power quality analysis, however the ability of fourier transform is limited to spectral information extraction that can be applied on stationary disturbances. Thus, time-frequency analysis is introduced for analyzing the power quality distubances because of the limitation of fourier transform. This paper presents the analysis of real power quality disturbances using S-transform. This time-frequency distribution (TFD) is presented to analyze power quality disturbances in time-frequency representation (TFR). From the TFR, parameters of the disturbances such as instantaneous of root mean square (RMS), fundamental RMS, total harmonic distortion (THD), total nonharmonic distortion (TnHD) and total waveform distortion (TWD) of the disturbances are estimated. The experimental of three phase voltage inverter and starting motor are conducted in laboratory to record the real power quality disturbances. The disturbances are recorded via data logger system which is mplemented using LabVIEW while the analysis is done using Matlab in offline condition. The results show that S-transform gives good performance in identifying, detecting and analyzing the real power quality disturbances, effectively.

• Periodical: Applied Mechanics and Materials (Volumes 752-753)
• Pages: 1343-1348
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.752-753.1343
• Online since: April 2015
• Authors: Abdul Rahim Abdullah, Nur Hafizah Tul Huda Ahmad, N.A. Abidullah, N.H. Shamsudin, M.H. Jopri
• Keywords: Power Quality, S-Transform, Time-Frequency Distribution, Time-Frequency Representation

References

[1] R.L. Allen and D. Mills, Signal Analysis: Time, Frequency, Scale, and Structure: Wiley, (2004).

[2] Y.H. Wang, The Tutorial : S-transform, National Taiwan University, Taipei, Taiwan, ROC, Taiwan, (2006).

[3] R.G. Stockwell, A basis for efficient representation of the S-transform, Digital Signal Processing, 17 (2007) 371-393.

DOI: 10.1016/j.dsp.2006.04.006

[4] A. Rodriguez, J.A. Auado, J.J. Lopez, F. Martin, F. Munoz and J.E. Ruiz, Time-Frequency Transform for Classification of Power Quality Disturbances, (2011) 313-330.

[5] O. Poisson, P. Rioual and M. Meunier, Detection and measurement of power quality disturbances using wavelet transform, Power Delivery, IEEE Transactions on, 15 (2000) 1039-1044.

DOI: 10.1109/61.871372

[6] N.H.T. Ahmad, A.R. Abdullah, N.A. Abidullah and M.H. Jopri, Analysis of power qualitY disturbances using spectrogram and S-Transform, Int. Rev. Elect. Eng. 9 (3) (2014) 611-619.

[7] N. Nordin, A.R. Abdullah, N.Q.Z. Abidin and A. Amin , Leakage Current Analysis on Polymeric and Non-Polymeric Insulating Materials Using Time-Frequency Distribution,  IEEE International Conference on Power and Energy (PECON 2012), Sabah, Malaysis, 2-5 December, (2012).

DOI: 10.1109/pecon.2012.6450360