Study of Improved PageRank Algorithm in Key Node Identification of power system

Abstract

In order to effectively identify the key nodes before grid failure, this paper proposes an improved PageRank algorithm to identify the key nodes in the power system. First, the undirected network is established to introduce power flow and establish a network model. Second, the node types are divided and transmission matrices are established. Finally, according to the equivalent impedance value, the Google Electric matrix is established to form an improved PageRank algorithm to identify the critical nodes in the power system. Simulation results of IEEE 39 bus system verify that the method is feasible and effective in terms of both load loss and transmission capacity.