李龙, 李振文, 刘颖, 肖振锋, 蔡晔, 刘放. 基于改进结构熵的电力信息物理系统脆弱性分析[J]. 电力信息与通信技术, 2021, 19(2): 1-6. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.02.001
引用本文: 李龙, 李振文, 刘颖, 肖振锋, 蔡晔, 刘放. 基于改进结构熵的电力信息物理系统脆弱性分析[J]. 电力信息与通信技术, 2021, 19(2): 1-6. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.02.001
LI Long, LI Zhenwen, LIU Ying, XIAO Zhenfeng, CAI Ye, LIU Fang. Vulnerability Analysis of Power Cyber Physical System Based on Improved Structural Entropy[J]. Electric Power Information and Communication Technology, 2021, 19(2): 1-6. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.02.001
Citation: LI Long, LI Zhenwen, LIU Ying, XIAO Zhenfeng, CAI Ye, LIU Fang. Vulnerability Analysis of Power Cyber Physical System Based on Improved Structural Entropy[J]. Electric Power Information and Communication Technology, 2021, 19(2): 1-6. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.02.001

基于改进结构熵的电力信息物理系统脆弱性分析

Vulnerability Analysis of Power Cyber Physical System Based on Improved Structural Entropy

  • 摘要: 随着电网与信息网的不断融合,考虑两网之间交互关系的电力信息物理系统脆弱性分析对保障电力系统稳定运行具有重要的实用价值。文章基于复杂网络理论,建立了电力信息物理系统拓扑模型,并提出了一种综合考虑节点差异性、边差异性和节点相依关系的电力信息物理系统拓扑改进结构熵指标。该指标可克服单层网络结构熵指标的局限性,并能识别电力信息物理系统中的重要节点对系统脆弱性的影响。以某省电力信息物理系统为例进行仿真,仿真结果表明,相依网络较单一网络更加脆弱,且高介数和高度数节点对维持系统运行起关键作用,此外少数低度数和低介数节点故障,系统的鲁棒性会降低。

     

    Abstract: With the continuous integration of power grid and information network, the vulnerability analysis of power cyber physical system considering the interaction between two networks has important practical value to ensure the stable operation of power system. In this paper, based on the complex network theory, a topological model of power cyber physical system is established, and an entropy index of topological structure of power cyber physical system is proposed, which takes into account the differences of nodes, edge differences and node dependencies. This index can overcome the limitation of the entropy index of single-layer network structure and identify the influence of important nodes in the power cyber physical system on the vulnerability. Taking a provincial power cyber physical system as an example, the simulation results show that the dependent network is more fragile than the single network, and nodes with high betweenness and high degree play a key role in maintaining the operation of the system, and if a few nodes with low degree and low betweenness fail, the robustness of the system will be reduced.

     

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