Backbone network mining algorithm in a power optical cable network based on minimum critical dominating structure

被引：0

作者：

Jiang W. ^{[1
,2
]}

Liu Y. ^{[1
,2
]}

Guo J. ^{[3
]}

Wang S. ^{[4
]}

Liu D. ^{[4
]}

机构：

[1] School of Computer Science, Northeast Electric Power University, Jilin

[2] Northeast Electric Power University, Jilin Smart Grid Information Technology Engineering Laboratory, Jilin

[3] Fengman Power Distribution Construction Office of Jidian Group Co., Ltd., Jilin

[4] Jilin Information & Telecommunication Company, Jilin Electric Power Corporation Ltd., Jilin

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 22期

关键词：

backbone network; complex network; minimum critical dominating structure; power optical cable network;

D O I：

10.19783/j.cnki.pspc.220291

中图分类号：

学科分类号：

摘要：

The minimum scale backbone network frame of power optical cable network contains important communication and hub stations, bridge links and other key entities, and meets the requirements of connectivity constraints. To mine the backbone network of the power optical cable network, a network mining algorithm based on minimum critical dominating structure is proposed. First, according to the physical topology of a provincial power optical cable network, a representative model of the power optical cable network is constructed. Second, to identify the critical edge of network, a measurement method of critical edge is proposed based on the minimum critical dominating structure. Finally, an algorithm based on the minimum critical dominating structure is designed to realize the mining of the backbone network. Two groups of experiments are designed using the provincial and the southern power optical cable networks in Jilin Province. The algorithm and two classical methods are used to mine the backbone network. Based on this, a deliberate attack is simulated on the power optical cable network, and the change trend of network connectivity is compared and analyzed to verify the effectiveness of the algorithm. © 2022 Power System Protection and Control Press. All rights reserved.

引用

页码：181 / 187

页数：6

共 23 条

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