Wavelet-based neuro-fuzzy technique algorithm in analyzing and classifying electromagnetic transients

Authors

  • Nhan Bon Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
  • Huy Anh Quyen Ho Chi Minh City University of Technology and Education, Vietnam

Corressponding author's email:

bonnn@hcmute.edu.vn

Keywords:

giải thuật, neuro-fuzzy, wavelets, phân loại, quá độ điện từ

Abstract

This paper presents a method for (a) recognizing the presence of any power quality disturbance in supply voltage and (b) classifying any existing deviation into a particular type. This method uses wavelet transforms, artificial neural networks and fuzzy associative memories to identify any power quality disturbances. The program can identify the presence of PQ disturbances and also classify \the type of disturbance. Results of simulations are presented in this paper.

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References

Phuc N.H., Bon N.N., Khanh T.Q. “Mô phỏng các nhiễu trong lưới điện và ứng dụng kỹ thuật wavelet trong phân tích và nhận dạng”, Tạp chí Phát triển Khoa học Công Nghệ số 30-31/2006 Đại học Quốc Gia TPHCM

Santoso, S; Powers, E.J.; Grady, W.M.; Hofman, P. "Power quality assessment via wavelet transform analysis" , IEEE Transactions on Power Delivery, Vol 11, No.2, Apr. 1996, pp. 924-390.

David C. Robertson, Ocavia I. Camps, Jeffrey S. Mayer, William B. Gish " Wavelets and electromagnetic power system transients" IEEE Transactions on Power Delivery Vol. 11, No.2, April 1996, pp. 1050-1055.

Santoso, S; Powers, EJ.; Grady, W.M.; "Power quality disturbance data compression using Wavelet transform methods", IEEE Transactions on Power Delivery, Vol 12, No.3, Jan. 1997,pp. 1250-1256.

T. Zheng, E.B. Makram, Adly A. Girgis, "Power system transient and harmonics studies using wavelet transform" , IEEE Transactions on Power Delivery, Vol 14, Oct. 1999, ppI461-1468.

Reznik, L; Negnevitsky, M; "A Neuro-Fuzzy method of Power disturbances recognition and reduction" at http://www.utas.edu.au

Published

26-12-2008

How to Cite

[1]
N. B. Nguyen and . H. Ánh Quyen, “Wavelet-based neuro-fuzzy technique algorithm in analyzing and classifying electromagnetic transients”, JTE, vol. 3, no. 3, pp. 36–44, Dec. 2008.

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