S-TRANSFORM-BASED DECISION TREE SYSTEM FOR POWER QUALITY DISTURBANCES CLASSIFICATION

##plugins.themes.academic_pro.article.main##

Author

  • Dinh Thanh Viet*, Nguyen Huu Hieu*, Ngo Minh Khoa

Từ khóa:

S-transform
decision tree
power quality disturbances
classification

Tóm tắt

In this paper, a new method for the classification of various types of power quality (PQ) disturbances has been presented. In the proposed method, five features which represent the distinctive characteristics of PQ disturbances and reduce data size are extracted from the PQ disturbances by using the S-Transform (ST). Then decision tree (DT) algorithm is applied to classify the nine types of PQ disturbances. The disturbance signals which are generated by using Matlab/Simulink are used to evaluate the performance of the proposed method. According to the obtained results, the proposed method classifies various types of PQ disturbances with high accuracy.Then decision tree (DT) algorithm is applied to classify the nine types of PQ disturbances. The disturbance signals which are generated by using Matlab/Simulink are used to evaluate the performance of the proposed method. According to the obtained results, the proposed method classifies various types of PQ disturbances with high accuracy.

Tài liệu tham khảo

    [1] Ming Zhang, Kaicheng Li, Yisheng Hu, “A real-time classification method of power quality disturbances,” Electr. Power Syst. Res., vol. 81, pp. 660-666, Feb. 2011.
    [2] D. Granados-Lieberman, R.J. Romero-Troncoso, R.A. Osornio-Rios, A. Garcia-Perez, E. Cabal-Yepez, “Techniques and methodolgies for power quality analysis and disturbances classification in power systems: a review,” IET Gener. Transm. Distrib., vol. 5, pp. 519-529, Apr. 2011.
    [3] Zwe-Lee Gaing, “Wavelet-based neural network for power disturbance recognition and classification,” IEEE Trans. Power Deliv., vol. 19, pp. 1560-1568, Oct. 2004.
    [4] M.A.S. Masoum, S. Jamali, N. Ghaffarzadeh, “Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks,” IET Sci. Meas. Tech., vol. 4, pp. 193-205, July 2010.
    [5] H. Erişti, Y. Demir, “Automatic classification of power quality events and disturbances using wavelet transform and support vector machines,” IET Gener. Transm. Distrib., vol. 6, pp. 968-976, Oct. 2012.
    [6] P.K. Dash, B.K. Panigrahi, G. Panda, “Power quality analysis using S-transform,” IEEE Trans. Power Deliv., vol. 18, pp. 406-411, Apr. 2003.
    [7] Fengzhan Zhao, Rengang Yang, “Power quality disturbance recognition using S-transform,” IEEE Trans. Power Deliv., vol. 22, pp. 944-950, Apr. 2007.
    [8] Murat Uyar, Selcuk Yildirim, Muhsin Tunay Gencoglu, “An expert system based on S-transform and neural network for automatic classification of power quality disturbances,” Expert Syst. Appl., vol. 36, pp. 5962-5975, Apr. 2009.
    [9] I.W.C. Lee, P.K. Dash, “S-transform-based intelligent system for classification of power quality disturbance signals,” IEEE Trans. Industrial Electronics, vol. 50, pp. 800-805, Aug. 2003.
    [10] M.V. Chilukuri, P.K. Dash, “Multiresolution S-transform-based fuzzy recognition system for power quality events,” IEEE Trans. Power Deliv.,vol. 19, pp. 323-330, Jan. 2004.
    [11] S. Mishra, C.N. Bhende, B.K. Panigrahi, “Detection and classification of power quality disturbances using S-transform and probabilistic neural network,” IEEE Trans. Power Deliv., vol. 23, pp. 280-287, Jan. 2008.
    [12] Nantian Huang, Dianguo Xu, Xiaosheng Liu, Jiajin Qi, “Power quality disturbance recognition based on S-transform and SOM neural network,” in Proc. 2nd Int. Con. on Image and Signal Processing (CISP), 2009, pp. 1-5.
    [13] A. Rodriguez, I.E. Ruiz, J. Aguado, J.J. Lopez, F.I. Martin, F. Munoz, “Classification of power quality disturbances using S-transform and artificial neural networks,” in Proc. Int. Conf. on Power Engineering, Energy and Electrical Drives (POWERENG), May 11-13, 2011, pp. 1-6.
    [14] http://ewh.ieee.org/soc/pes/dsacom/testfeeders.htm
Xem thêm

##plugins.themes.academic_pro.article.sidebar##

Đã Xuất bản

Dec 31, 2014
Download
PDF (English)
Cách trích dẫn
Dinh Thanh Viet*, Nguyen Huu Hieu*, Ngo Minh Khoa. “S-TRANSFORM-BASED DECISION TREE SYSTEM FOR POWER QUALITY DISTURBANCES CLASSIFICATION”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 12, số p.h 85.1, Tháng Chạp 2014, tr 100-5, https://jst-ud.vn/jst-ud/article/view/1612.

##plugins.themes.academic_pro.article.details##