公茂法,李美蓉,殷凡姣,王中刚,刘丙乾,邵群,李杰.基于小波包和改进BP神经网络的变压器励磁涌流识别方法[J].电测与仪表,2015,52(6):. GONG Mao-fa,LI Mei-rong,YIN Fan-jiao,WANG Zhong-gang,LIU Bing-qian,SHAO Qun,LI Jie.Transformer inrush current identification method based on wavelet packet and improved BP neural network[J].Electrical Measurement & Instrumentation,2015,52(6):.
基于小波包和改进BP神经网络的变压器励磁涌流识别方法
Transformer inrush current identification method based on wavelet packet and improved BP neural network
According to huge difference in the waveform characteristics between inrush current and internal fault current, the paper proposed a new method to identify inrush current based on wavelet packet and improved BP network. Decompose and reconstruct inrush current and fault current signal using wavelet packet, extracted wavelet packet reconstruction coefficients, calculate the energy of each band and normalized to construct energy feature vectors as input sample for BP network training and testing, and finally propose protection criterion. Through a large number of samples simulation using PSCAD / EMTDC and MATLAB software, it proves that the program can quickly and accurately identify inrush current and internal fault current.
