Research on Identification of Traveling Wave Fault Hidden Dangers in Distribution Networks Based on Beidou Time Service Digital Technology
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.
Beidou time service digital technologydistribution networktraveling wave faultbandpass filter
万方数据
维普
