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。
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 systems 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.
作者
李沁雪
胡言俊
谢徐欢
罗伟
Li Qinxue;Hu Yanjun;Xie Xuhuan;Luo Wei(Department of Electrical Engineering and Automation,Guangzhou Maritime University,Guangzhou 510725,Guangdong,China;School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510641,Guangdong,China)
出处
《计算机应用与软件》
北大核心
2025年第12期372-379,共8页
Computer Applications and Software
基金
国家自然科学基金项目(62006052,61973128)
广东省基础与应用基础研究基金项目(2021A1515011520)
广州市科技计划资助项目(202102020663)。
关键词
电力系统
信息安全
脆弱性分析
因果分析
非线性
Power system
Information security
Vulnerability analysis
Causal analysis
Nonlinear
