| 引用本文: | 廖一名,李珊君.基于边临毁度的电力通信网脆弱性分析[J].电力系统保护与控制,2019,47(4):152-159.[点击复制] |
| LIAO Yiming,LI Shanjun.Vulnerability analysis of power communication network based on invalid proximity of edge[J].Power System Protection and Control,2019,47(4):152-159[点击复制] |
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| 摘要: |
| 电力通信网脆弱性分析对确保电力系统安全运行和加强电网健壮性具有重要意义。首先建立了电力通信网络模型，从网络的业务层、网络传输层和物理层指标出发,建立了基于临毁度和网络损失度的电力通信网的脆弱性评估和分析模型。接着对边的业务传输时延指标、带宽占比指标和物理故障概率指标评估得出网络部件(节点、边)的临毁度。最后结合网络部件失效后的系统损失度，得出网络部件的脆弱度评估值。以IEEE-30节点系统为例进行仿真，完成了通信网络部件的脆弱性评估分析，结果表明通信链路的长度和业务分配方案与电力通信网的脆弱性密切相关。 |
| 关键词: 电力通信网 脆弱性分析 临毁度 系统损失度 |
| DOI：10.7667/PSPC180226 |
| 投稿时间：2018-03-05修订日期：2018-05-14 |
| 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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| Vulnerability analysis of power communication network based on invalid proximity of edge |
| LIAO Yiming,LI Shanjun |
| (School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China) |
| Abstract: |
| Vulnerability analysis of power communication network has important significance to ensure the safe operation of the power system and strengthen the network robustness. First, power communication network model is built. Based on the network business layer, network transmission layer and physical layer index, the vulnerability assessment and analysis model of power communication network based on the degree of destruction and network loss is established. Then invalid proximity of communication nodes and edges then can be got by analyzing the indicators such as proximity degree of services' invalid, bandwidth proportion and physical failure probability of communication side. Finally, the vulnerability value of nodes and edges can be got by combining with the loss degree of the system after the failure of network components. The vulnerability analysis of communication network is completed by taking the IEEE-30 node system as a simulation example. The results show that the length and service allocation scheme of communication links are closely related to the vulnerability of power communication network. This work is supported by Science and Technology Support Plan Project of Sichuan Province (No. 2017GZ0349) and Science and Technology Project of State Grid Xinjiang Electric Power Company (No. SGXJXT00TJS1600206). |
| Key words: power communication network vulnerability analysis invalid proximity loss degree of the system |
