In order to improve the recognition effect of traveling wave faults and reduce the false alarm rate and false alarm rate,a distribution network traveling wave fault hidden danger identification method based on Beidou time service digital technology is proposed.It collects traveling wave fault signals and uses Beidou time service digital technology to record and analyze the col-lected signals in chronological order.Other frequency interferences are eliminated through bandpass filters and the characteris-tics of fault signals are highlighted.Based on the digital filtering results of traveling wave fault signals,a recursive neural net-work is used to construct a fault hidden danger identification model,and this model is used to achieve traveling wave fault hid-den danger identification.The experimental results show that the proposed method has a low false alarm rate and false alarm rate,and can obtain the time-frequency characteristics of the signal under noisy conditions,achieve accurate recognition of multi-channel signals,which is conducive to improving the reliability and stability of the distribution system.
关键词
北斗授时数字技术/配电网/行波故障/带通滤波器
Key words
Beidou time service digital technology/distribution network/traveling wave fault/bandpass filter
维普
万方数据