Risk Assessment of Power Communication Network Based on Node Importance*

The expansion of power grid scale, the increase of complexity, the diversification of power services, and the surge in network traffic load have placed higher demands on the power communication network in terms of invulnerability, reliability, and real-time performance, as well as bringing nodes in the network. Greater risk. We should evaluate the high-risk nodes in time, and protect the high-risk nodes in advance to prevent the high-risk nodes from being affected by the topology of the network or the transmission of power services. This paper analyzes the risk of nodes in the power communication network from the perspective of network structure and power service, and uses the node importance to quantify the impact of nodes failure on the network. Finally, the information fusion operator is used to fuse the quantized values obtained from different angles to complete the risk assessment.

[1]  Yiliang Han,et al.  Evaluating node importance in complex networks based on TOPSIS and gray correlation , 2018, 2018 Chinese Control And Decision Conference (CCDC).

[2]  Fan Bin.  Vulnerability Analysis of Power Communication Network , 2014 .

[3]  Tang Liangrui.  Node importance evaluation strategy based on triangle module applying to optical communication network for power grid , 2011 .

[4]  Zhang Rui-kun,et al.  A K-shell Improved Method for the Importance of Complex Network Nodes , 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

[5]  Minyong Shi,et al.  Assessing the Importance of Nodes in the Social Network Based on Clustering Coefficient , 2018, 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS).