Fault Location Method for Ultra-High Voltage Direct Current Transmission Lines Based on Wavelet Neural Networks
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.
wavelet neural networksultra-high voltage direct current transmission linespower line faultfault location
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维普
