Browse > Article

Noisy Power Quality Recognition System using Wavelet based Denoising and Neural Networks  

Chong, Won-Yong (경남대학교 정보통신학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.13, no.2, 2012 , pp. 91-98 More about this Journal
Abstract
Power Quality (PQ) signal such as sag, swell, harmonics, and impulsive transients are the major issues in the operations of the power electronics based devices and microprocessor based equipments. The effectiveness of wavelet based denoising techniques and recognizing different power quality events with noise has been presented in this paper. The algorithms involved in the noisy PQ recognition system are the wavelet based denoising and the back propagation neural networks. Also, in order to verify the real-time performances of the noisy PQ recognition systems under the noisy environments, SIL(Software In the Loop) and PIL(Processor In the Loop) were carried out, resulting in the excellent recognition performances.
Keywords
Power Quality; Wavelet Transformation; Wavelet Denoising; Neural Networks;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Rodney H.G Tan, V.K. Ramachandaramurthy, "Performance Analysis of Wavelet Based Denoise System for Power Quality Disturbances", in Proc. 2009 IEEE Bucharest Power Tech Conference, June 28th-July 2nd, Bucharest, Romania.
2 Gu Jie, "Wavelet Threshold De-noising of Power Quality Signals", in Proc. 2009 IEEE Fifth International Conference on Natural Computation.
3 A.M. Gaouda and M.M.A. Salama, M.R. Sultan, A. Y. Chikhani, "Power Quality Detection and Classification Using Waveler-Multiresolution Signal Decomposition", IEEE Transactions on Power Delivery, vol. 14, No. 4, October 1999.
4 D.Saxena, S.N.Singh, K.S.Verma, "Waveler based denoising of power quality events for characterization", Int. Journal of Eng., Sci. and Tech., vol.3, No.3, 2011, pp.119-132.
5 Resende, J.W., Chaves, M.L.R., Penna, C., "Identification of power quality disturbances using the MATLAB wavelet transform toolbook", Universidade Federal de Uberlandia (MG)-Brazil.
6 IEEE Recommended Practice for Monitoring Electric Power Quailty, IEEE Std. 1159-1995, June. 1995.
7 U. D. Dwivedi, S. N. Singh, "Denoising Techniques With Change-Point Approach for Wavelet-Based Power-Quality Monitoring" in Proc. IEEE Transactions On Power Delivery, vol.24, NO.3, JULY 2009.
8 Hong-Tzer Yang, Chiung-Chou Liao, "A De-Noising Scheme for Enhancing Wavelet-Based Power Quality Monitoring System" in Proc. IEEE Transactions On Power Delivery, vol.16, NO.3, JULY 2001.
9 정원용, 권진수, "웨이블릿 변환과 신경회로망을 이용한 전력 품질 인식 시스템에 관한 연구", 신호처리시스템학회 논문지, 11권, 2호, pp. 169-176, 2010.