Identifying key nodes in the power system considering node properties

Abstract

Identifying the key nodes is very important to guarantee the safe and stable operation of power system. This paper proposes a method to identify the key nodes based on the sensitivity and improved PageRank algorithm,. Firstly, in order to make the identification method adapt to the power system, the reactive power sensibility to voltage and active power sensibility to phase angle are redefined and used to improve PageRank algorithm. The link matrix and network topology of power network are set up by the definition of sensibility criterion. Secondly, in order to accurately assess the importance of nodes, the influence of power communication system on power grid is considered when the importance of nodes are evaluated. At the same time, the network topology and link matrix are corrected. The derived network and the network expansion matrix are defined. Finally, the correctness of the method is verified by the simulation of IEEE30 bus system.Identifying the key nodes is very important to guarantee the safe and stable operation of power system. This paper proposes a method to identify the key nodes based on the sensitivity and improved PageRank algorithm,. Firstly, in order to make the identification method adapt to the power system, the reactive power sensibility to voltage and active power sensibility to phase angle are redefined and used to improve PageRank algorithm. The link matrix and network topology of power network are set up by the definition of sensibility criterion. Secondly, in order to accurately assess the importance of nodes, the influence of power communication system on power grid is considered when the importance of nodes are evaluated. At the same time, the network topology and link matrix are corrected. The derived network and the network expansion matrix are defined. Finally, the correctness of the method is verified by the simulation of IEEE30 bus system.