Fault Identification Method of Relay Protection Secondary Circuit in Distributed Power Distribution Network
Because it is difficult to uniformly manage and apply the defect data of multi-source heterogeneous relay protection equipment,the fault detection error of secondary circuit is large,so this paper puts forward a fault identification method of relay protection secondary circuit in distributed power distribution network.By measuring the current and voltage signals of the relay protection secondary circuit of the distributed power distribution network at the fault moment,the original signal is denoised by wavelet to form a sample data set,and a deep neural network is established to classify the sample data,so as to complete the fault identification task of the relay protection secondary circuit of the distributed power distribution network.The experimental results show that the method proposed in this paper has a high recall rate of 98.74%and good fault identification performance.
distributed power supplydistribution networkrelay protectionsecondary circuitfault identification
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