电力通信网的关键节点辨识  

Key Node Identification of Power Communication Network

作　　者：刘垒 谭阳红[1] 金家瑶 张婧 童方格 LIU Lei;TAN Yanghong;JIN Jiayao;ZHANG Jing;TONG Fangge(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《电力系统及其自动化学报》2020年第2期28-34,共7页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金资助项目(61102039,51577046);国家重点基础研究发展计划(973计划)资助项目(2012CB215106);湖南省自然科学基金资助项目(14JJ7029);浙江省重中之重控制科学与工程一级学科开放基金资助项目。

摘　　要：在如今快速发展的智能电网中,电力通信网节点数量和网络结构变得越来越庞大且复杂。为了识别网络中的关键节点,结合电力通信网拥有其作为电网通信主干网架的独特行业背景,综合电力通信网的拓扑结构、通信业务和电网的影响等因素构建了多指标评价体系。通过层次分析法求得各指标的主观权重,并用熵权法求得各指标的客观权重,最后结合两种权重得到指标综合权重,根据各指标的重要度及对应综合权重确定各个节点的重要度。仿真表明,相对于其他算法,该算法的评价指标更为综合,权重分配更为客观合理,能准确辨识网络中关键节点,为保障电力通信网的安全可靠运行提供参考依据。At present,in the rapidly evolving smart grid,the number of nodes and network structure of power communi?cation networks are becoming larger and even more complex.To identify the key nodes in the network,under the unique industry background,i.e.,the power communication network is considered as the backbone of the grid communication network,a multi-indicator evaluation system is built based on factors such as the topology of the integrated power com?munication network,communication service,and influences of power grid.Through the analytic hierarchy process,the subjective weights of each indicator are obtained,and the objective weights of each indicator are obtained by using the entropy method.Finally,the comprehensive weights of indicators are obtained by combining these two kinds of weights,and the importance of each node is determined according to the importance of each indicator and the corre?sponding comprehensive weight.Simulation results show that compared with other algorithms,the evaluation indicators of the proposed algorithm are more comprehensive,and the weight distribution is more objective and reasonable.As a result,this algorithm can accurately identify the key nodes in the network and provide reference for ensuring the safe and reliable operation of the power communication network.

关 键 词：关键节点辨识 智能电网 电力通信网 通信业务 重要度 

分 类 号：TM73[电气工程—电力系统及自动化]