Topology diagnosis of power communication network based on node influence

被引：0
|
作者：
Wu R. [1 ]
Wu W. [1 ]
Li L. [2 ]
Fan B. [1 ]
Tang L. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
[2] State Grid Jibei Economic Research Institute, Beijing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Complex network; Network diagnosis断; Network robustness; Network survivability; Node influence; Power communication network;
D O I：
10.19783/j.cnki.pspc.180710
中图分类号：
学科分类号：
摘要：
Based on the structural characteristics of the power communication network, this paper establishes a complex network model for the power communication network, and the node influence is defined from the neighbor topology characteristics and network aggregation characteristics of nodes. This paper uses the information entropy of network attribute value to calculate the overall contribution degree of network topology to node influence, and then analyzes the effect after node deletion on network topology vulnerability from the perspective of network connectivity and efficiency. Finally, the simulation analysis is conducted on the influence of the nodes in BA network, WS network, the regional backbone power communication network and the provincial backbone power communication network. The results show that this method can better reflect the impact of key nodes in terms of network efficiency and connectivity compared with other methods using complex network indicators. © 2019, Power System Protection and Control Press. All right reserved.
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收藏
页码：147 / 155
页数：8
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