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基于业务的电力通信网关键节点识别 被引量:2

Key Node Identification of Electric Power Communication Network Based on Services
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摘要 为了能够高效、准确地识别出电力通信网中的关键节点,本文提出了一种基于业务的节点重要度识别方法。首先,通过构建电力通信业务矩阵、邻接矩阵,计算出节点拓扑重要度、业务重要度以及节点失效引起的传输网效能和承载业务的变化值;其次,结合实际传输业务分布情况,采用层次分析法,通过引入节点失效时的传输网网络效能和传输业务损失率得出综合评价指标,进行关键节点识别及脆弱性分析;最后,采用广东和内蒙古实际通信网进行仿真校验及应用分析。仿真表明,与其他算法相对比,本文算法能够比较准确地辨识出实际电力通信网络中的关键节点。同时,在蓄意攻击模式下,对重要节点、重要链路进行脆弱性分析,提出相关建议,有效提升电力通信网安全性。 In order to efficiently and accurately identify the key nodes in the power communication network,this paper proposes a business-based node importance identification method.Firstly,by constructing the power communication service matrix and adjacency matrix,the node topology importance,service importance and the change value of transmission network efficiency and bearer service caused by node failure are calculated.Secondly,combined with the actual distribution of transmission services,the analytic hierarchy process is used to identify the key nodes and analyze the vulnerability by introducing the transmission network efficiency and transmission service loss rate when the nodes fail.Finally,the actual communication networks in Guangdong and Inner Mongolia are used for simulation verification and application analysis.Simulation results show that compared with other algorithms,this algorithm can accurately identify the key nodes in the actual power communication network.At the same time,in the deliberate attack mode,vulnerability analysis is conducted on important nodes and links,and relevant suggestions are put forward to effectively improve the security of the power communication network.
作者 王晓军 尹卿 田锦华 吴忠军 陈思 司瑞琪 WANG Xiaojun;YIN Qing;TIAN Jinhua;WU Zhongjun;CHEN Si;SI Ruiqi(Inner Mongolia Power(Group)Co.,Ltd.,Hohhot 010020,Inner Mongolia,China;Inner Mongolia Hohhot Power Supply Company,Hohhot 010020,Inner Mongolia,China)
出处 《电力大数据》 2022年第12期18-27,共10页 Power Systems and Big Data
关键词 关键节点识别 脆弱性分析 电力通信网 网络效能 业务损失率 key node identification vulnerability analysis power communication network network performance service loss rate
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