Analysis of Transient Stability Test for Grid Dispatch Based on GCN Approach
In order to improve the energy-saving efficiency of grid scheduling,a transient stability test method for grid scheduling based on graph convolution network(GCN)method is designed.Through the convolution operation of multiple networks,the change rule of characteristic parameters of each node and its neighboring nodes in multiple networks is obtained,which can be well adapted to the system structure.The accuracy of the method is verified in the IEEE39 node system,and the research results show that the graph convolution network based on the transient stability prediction mode achieves a better processing effect,with the omission rate and misjudgment rate less than 1％,and the correct rate reaches more than 99％.The improvement effect of graph convolutional network is better than the expected scanning effect.With the introduction of graph convolutional network containing node impedance,each node characteristic is propagated over the whole network and better performance is obtained.This study significantly improves the ability to judge abnormal events during grid scheduling and realizes fast dynamic security assessment.
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