| 引用本文: | 李炅菊,黄宏光,舒勤.相依网络理论下电力通信网节点重要度评价[J].电力系统保护与控制,2019,47(11):143-150.[点击复制] |
| LI Guiju,HUANG Hongguang,SHU Qin.Evaluation method for node importance in power telecommunication network based on interdependent network theory[J].Power System Protection and Control,2019,47(11):143-150[点击复制] |
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| 摘要: |
| 智能电网中电力系统与通信系统的紧密结合，使得电力通信网络在双网相依系统中愈加重要。通信网络中节点发生故障，尤其是高重要度节点，不仅会影响自身网络系统还会影响与其相依的网络，导致连锁故障的发生。因此，对智能电网中电力通信网络节点重要性进行评价具有重要意义。将电力物理-信息相依网络中单侧网络提取出来，以链路已用率和电力线阻抗值作为边权参数建立有权网络模型。根据有权网络节点重要度评价方法，分别对两子网进行分析。然后根据电力网依存于信息通信网的依存边矩阵，计算相依网络中电力通信网络节点的重要度指标，找出重要度大的节点。以IEEE30节点系统为例进行了仿真实验，证明了该方法指标的可行性和实用性。 |
| 关键词: 相依网络 有权网络 节点收缩法 凝聚度 节点重要度 |
| DOI：10.7667/PSPC20191119 |
| 投稿时间：2018-07-21修订日期：2018-12-04 |
| 基金项目:四川省科技支撑计划项目资助(2017GZ0349);国网新疆电力公司科技项目资助(SGXJXT00TJS1600206) |
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| Evaluation method for node importance in power telecommunication network based on interdependent network theory |
| LI Guiju,HUANG Hongguang,SHU Qin |
| (School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China) |
| Abstract: |
| The close combination of power system and communication system in smart grid makes the power communication network more important in the system of interdependent network. The failure of nodes in the communication network, especially the important nodes, will not only affect their own network but also affect its dependent network, leading to the occurrence of chain failure. Therefore, it is of great significance to evaluate the importance of power communication network nodes in smart grid. In this paper, the single side network is extracted from the power physics-information network, and the subnet models are established with the link-used rate and power line impedance value as the edge weight parameter. According to the importance evaluation method of the weighted network node, the two subnets are analyzed separately. Then, on the basis of the dependent edge matrix of electric power subnet depending on the information communication subnet, it calculates the important index of power communication network nodes in dependent network and finds the important nodes. The IEEE30 node system is used as an example to demonstrate the feasibility and practicability of the method. This work is supported by Science and Technology Support Project of Sichuan Province (No. 2017GZ0349) and Science and Technology Project of State Grid Xinjiang Electric Power Company (No. SGXJXT00TJS1600206). |
| Key words: interdependent network weighted network nodal contraction condensation degree node importance |
