Analysis of Fault Location Method and Examples in Distribution Network Based on Graph Convolutional Neural Network
This paper expounds the establishment of an automated fault location method for distribution networks and the construction of an algorithm model for fault location.It uses this algorithm to extract node and topology features from the topology network structure of the distribution network,takes them as model inputs,and then processes them through data standardization,graph convolutional layer operations,and fully connected layer operations to achieve fault section localization.The test results show that after 80 iterations,the positioning accuracy of this algorithm model can reach 96%.
万方数据
维普
