基于非线性因果的电力系统节点脆弱性分析

NODE VULNERABILITY ANALYSIS OF POWER SYSTEMS BASED ON NONLINEAR CAUSALITY

  • 摘要: 为提高电力系统在网络攻击下的信息安全等级,采用基于非线性因果分析方法对电网节点进行脆弱性分析。通过因果定性分析挖掘电力系统节点间的非线性因果关系。定义新的脆弱性评估指标,通过因果定量分析,对节点脆弱性进行排序。在不同攻击策略下,不同规模电力系统的仿真实验表明,相对于传统复杂网络理论,基于非线性因果理论的节点脆弱性分析方法更为有效和准确,可为系统后续的针对性防护提供可靠依据。

     

    Abstract: In order to raise the information security level of power systems under malicious cyber-attacks, the method based on the nonlinear causal analysis theory is proposed to analyze the vulnerability of grid nodes. Nonlinear causal relationships among nodes of power system were mined through causal qualitative analysis. New vulnerability evaluation indices were defined, and the vulnerability of nodes was ranked through causal quantitative analysis. Under different attack strategies, the simulation experiments of power systems show that compared with traditional complex network theory, the node vulnerability analysis method based on nonlinear causal theory is more effective and accurate, providing a reliable basis for subsequent targeted protection of systems.

     

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