Detection and classification of power quality disturbances using wavelet transform and support vector machines

Electric Power Components and Systems

Volumn 38, Issue 2, 2010, Pages 182-196

  Moravej, Z ^a   Abdoos, A A ^a   Pazoki, M ^a  

^a SEMNAN UNIVERSITY   (Iran)

Author keywords

Feature extraction; Noise; Power quality; Support vector machines; Wavelet transform

Indexed keywords

FEATURE VECTORS; NOISE CONDITIONS; NOISE POWER; POWER QUALITY DISTURBANCES; POWER QUALITY EVENT; POWER SYSTEM MONITORING; QUALITY SUPPORT; TRANSIENT EVENTS; VOLTAGE SAGS; VOLTAGE WAVEFORMS;

ALGORITHMS; ELECTRIC POWER SYSTEMS; HARMONIC ANALYSIS; SUPPORT VECTOR MACHINES; VECTORS; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 77950874963     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325000903273387     Document Type: Article

References (29)

1. Uyara, M., Yildirima, S., and Gencoglub,M. T., "An effective wavelet-based feature extraction method for classification of power quality disturbance signals," Elect. Power Syst. Res., Vol.78, pp. 1747-1755, 2008.
2. Gaing, Z. L., "Wavelet-based neural network for power disturbance recognition and classification," IEEE Trans. Power Delivery, Vol.19, No.4, pp. 1560-1568, 2004.
3. Heydt, G. T., Fjeld, P. S., Liu, C. C., Pierce D., Tu, L., and Hensley, G., "Applications of the windowed FFT to electric power quality assessment," IEEE Trans. Power Delivery, Vol.14, No.4, pp. 1411-1416, 1999. (Pubitemid 30538544)
4. Huang, S. J., and Hsieh C. T., "Feasibility of fractal-based methods for visualization of power system disturbances," Int. J. Elect. Power Energy Syst., Vol.23, No.1, pp. 31-36, 2001.
5. Nguyen, T., and Liao, Y., "Power quality disturbance classification utilizing S-transform and binary feature matrix method," Elect. Power Syst. Res., Vol.79, No.4, pp. 569-575, 2009.
6. Wang, M., Ochenkowski, P., and Mamishev, A., "A classification of power quality disturbances using time-frequency ambiguity plane and neural networks," IEEE Power Eng. Soc. Summer Mtg., Vol.2, pp. 1246-1251, 2001.
7. Wen, J., and Liu, P., "A method for detection and classification of power quality disturbances," Automat. Elect. Power Syst. China, Vol.26, No.1, pp. 42-44, 2002.
8. Santoso, S., Powers E. J., Grady, W. M., and Hofmann, P., "Power quality assessment via wavelet transform analysis," IEEE Trans. Power Delivery, Vol.11, No.2, pp. 924-930, 1996. (Pubitemid 126774339)
9. David, G. L., "Comments on Hilbert transform based signal analysis," BYUMicrowave Remote Sensing (MERS) Laboratory Technical Report No. MERS 04-1001, Brigham Young University, Provo, UT, 2004.
10. Aiello, M., Cataliotti, A., and Nuccio, S., "A Chirp-Z transform-based synchronizer for power system measurements," IEEE Trans. Instrument. Meas., Vol.54, No.3, pp. 1025-1032, 2005. (Pubitemid 40843524)
11. Kaewarsa, S., Attakitmongcol, K., and Kulworawanichpong, T., "Recognition of power quality events by using multi wavelet-based neural networks," Elect. Power Energy Syst., Vol.30, pp. 254-260, 2008. (Pubitemid 351444844)
12. Mishra, S., Bhende, C. N., and Panigrahi, B. K., "Detection and classification of power quality disturbances using S-transform and probabilistic neural network," IEEE Trans. Power Delivery, Vol.23, No.1, pp. 280-287, January 2008.
13. Cerqueira, A. S., Ferreira, D. D., Ribeiro, M. V., and Duque, C. A., "Power quality events recognition using a SVM-based method," Elect. Power Syst. Res., Vol.78, pp. 1546-1552, 2008.
14. Liao, Y., and Lee, J. B., "A fuzzy-expert system for classifying power quality disturbances," Elect. Power Energy Syst., Vol.26, pp. 199-205, 2004.
15. Andami, H., and Jalilian, A., "Voltage notch detection using fuzzy expert system," Proceeding of IEEE International Conference, pp. 479-482, Montreal, Canada, 4-7 May 2003.
16. Ribeiro, P., "Wavelet transform: An advanced tool for analyzing non-stationary harmonic distortion in power systems," Proc. IEEE Int. Conf. Harmon. Power Syst., Vol.6, pp. 21- 23, Bologna, 1994.
17. Santoso, S., Powers E. J., Grady, W. M., and Hofmann P., "Power quality assessment via wavelet transform analysis," IEEE Trans. Power Delivery, Vol.11, No.2, pp. 924-930, 1996. (Pubitemid 126774339)
18. Gaouda, A. M., Salama, M. M. A., Sultan, M. R., and Chikhani, A. Y., "Power quality detection and classification using wavelet-multiresolution signal decomposition," IEEE Trans. Power Delivery, Vol.14, No.4, pp. 1469-1476, 1999. (Pubitemid 30538551)
19. Elmitwally, A., Farghal, S., Kandil, M., Abdelkader, S., and Elkateb, M., "Proposed waveletneurofuzzy combined system for power quality violations detection and diagnosis, IEE Proc. Generat. Transm. Distrib., Vol. 148, No. 1, pp. 15-20, 2001.
20. Hu, G. S., Zhu, F. F., and Ren, Z., "Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines," Expert Syst. Appl., Vol.35, pp. 143-149, 2008.
21. He, H., and Starzyk, J. A., "A self-organizing learning array system for power quality classification based on wavelet transform," IEEE Trans. Power Delivery, Vol.21, No.1, pp. 286-295, 2006. (Pubitemid 43279813)
22. Abdel-Galil, T. K., Kamel, M., Youssef, A. M., El-Saadany, E. F., and Salama, M. M. A., "Power quality disturbance classification using the inductive inference approach," IEEE Trans. Power Delivery, Vol.19, No.4, pp. 1812-1818, 2004.
23. Daubechies, I., Ten Lectures on Wavelets, Philadelphia, PA: Society for Industrial and Applied Mathematics, 1992.
24. Strang, G., and Nguyen T., Wavelets and Filter Banks,Wellesley, MA: Cambridge Press, 1996.
25. Heydt, G. T., and Galli, A. W., "Transient power quality problems analyzed using wavelets," IEEE Trans. Power Delivery, Vol.12, No.2, pp. 908-991, 1997.
26. Wang, L., Support Vector Machines: Theory and Applications, Nanyang Technological University, School of Electrical & Electronic Engineering, Singapore: Springer, 2005.
27. Steinwart, I., and Christmann, A., Support Vector Machines, New York: Springer, 2008.
28. Christopher, J. C., A Tutorial on Support Vector Machines for Pattern Recognition, Boston: Kluwer Academic Publishers, Bell Laboratories, Lucent Technologies, manufactured in The Netherlands, 1998.
29. MATLAB 7.4 Version Wavelet Toolbox, Math Works Company, Natick, MA.