Performance Verification of Power Quality Signals Classification System

Article Preview

Abstract:

Power quality has become a greater concern nowadays. The increasing number of power electronics equipment contributes to the poor quality of electrical power supply. The power quality signals will affect manufacturing process, malfunction of equipment and economic losses. This paper presents the verification analysis of power quality signals classification system. The developed system is based on linear time-frequency distribution (TFD) which is spectrogram that represents the signals jointly in time-frequency representation (TFR). The TFD is very appropriate to analyze power quality signals that have magnitude and frequency variations. Parameters of the signal such as root mean square (RMS) and fundamental RMS, total waveform distortion (TWD), total harmonic distortion (THD) and total non-harmonic distortion (TnHD) of voltage signal are estimated from the TFR to identify the characteristics of the signal. Then, the signal characteristics are used as input for signal classifier to classify power quality signals. In addition, standard power line measurements are also calculated from voltage and current such as RMS and fundamental RMS voltage and current, real power, apparent power, reactive power, frequency and power factor. The power quality signals focused are swell, sag, interruption, harmonic, interharmonic, and transient based on IEEE Std. 1159-2009. The power quality analysis has been tested using a set of data and the results show that, the spectrogram gives high accuracy measurement of signal characteristics. However, the system offers lower accuracy compare to simulation due to the limitation of the system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1158-1163

Citation:

Online since:

April 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] H.W. Beaty and D.G. Fink, Standard Handbook for Electrical Engineers (16th ed. ). McGraw-Hill, (2013).

Google Scholar

[2] B. Howe, A New vision of PQ research for the next 10 years, in International Conference on Electrical Power Quality and Utilisation, (2007).

DOI: 10.1109/epqu.2007.4424147

Google Scholar

[3] M.S. Azam, F. Tu and K.R. Pattipati, A dependency model-based approach for identifying and evaluating power quality problems, (2004) 1154-1166.

DOI: 10.1109/tpwrd.2003.822537

Google Scholar

[4] M.H. Bollen and I. Gu, Signal Processing of Power Quality Disturbances: Wiley, (2006).

Google Scholar

[5] P.G. V Axelberg, I.Y. Gu, S. Member and M.H.J. Bollen, Support Vector Machine for classification of voltage disturbances, in IEEE Trans. Power Deliv. 22 (2007) 1297-1303.

DOI: 10.1109/tpwrd.2007.900065

Google Scholar

[6] D. Mittal, O.P. Mahela and R. Jain, Classification of Power Quality Disturbances in Electric Power System: A Review, IOSR J. Electr. Electr. Eng. 3(2012) 06-14.

DOI: 10.9790/1676-0350614

Google Scholar

[7] N.H.T. Huda, A.R. Abdullah and M.H. Jopri, Power quality signals detection using S-transform, in Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International, (2013) 552-557.

DOI: 10.1109/peoco.2013.6564609

Google Scholar

[8] A.Z.S. a. A.R. Abdullah, N.A. Mohd Said, N. Mohd Saad and A. Jidin, Bilinear Time-Frequency Analysis Techniques for Power Quality Signals, in Proceedings of the International MultiConference of Engineers and Computer Scientists IMECS 2012, Hong Kong, (2012).

Google Scholar

[9] A.R. Abdullah, N.A. Abidullah, N.H. Shamsudin, N.H.H. Ahmad and M.H. Jopri, Power Quality Signals Classification System using Time-Frequency Distribution, Appl. Mech. Mater. 494-495 (2014) 1889-1894.

DOI: 10.4028/www.scientific.net/amm.494-495.1889

Google Scholar

[10] N.Q.Z. Abidin, A.R. Abdullah, N.H. Rahim, N. Norddin and A. Aman, Online surface condition monitoring system using time-frequency analysis technique on high voltage insulators, in Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International, (2013).

DOI: 10.1109/peoco.2013.6564602

Google Scholar

[11] IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Std 1159-2009 (Revision of IEEE Std 1159-1995), (2009) c1-81.

Google Scholar