Traditional fault location methods for ultra-high voltage direct current transmission lines directly identify the fault section without constructing a spatial state model of the fault voltage signal,which leads to significant errors in the location accuracy.In response to this issue,this paper proposes a fault location method for ultra-high voltage direct current transmission lines based on wavelet neural networks.The method involves constructing a spatial state model of the fault voltage signal to identify the fault section,followed by fault location using the wavelet neural network.Comparative experimental results show that the proposed method has a smaller location accuracy error,demonstrating significant practical application value.
关键词
小波神经网络/特高压直流输电/电线路故障/故障测距
Key words
wavelet neural networks/ultra-high voltage direct current transmission lines/power line fault/fault location
维普
万方数据