The Influence Study of Wavelet Properties on Transient Power Disturbance Signals Detection
Wavelet transform is widely used in the transient disturbance signals detection. However, wavelet properties have great impact on detection results. If wavelet choice is improper, it will lead to failures in disturbances detection. Based on analyzing the cancellation, support set, smoothness and other properties of wavelet, make detection for different disturbances by using wavelet modulus maxima principles. The view that the wavelet with higher cancellation, longer support length and better smoothness should be chosen in transient power quality disturbance signals detection is first proposed in this paper. Select four typical wavelets, i.e. Haar、Symlet8、DB2、DB10 wavelet to make detection for voltage sag and oscillatory transient disturbances. Experimental results show that selection principles proposed in this paper is correct and reliable.
wavelet properties power quality transient disturbances modulus maxima
Gong Jing
Beijing University of Civil Engineering and Architecture Beijing, China
国际会议
长春
英文
140-143
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）