电力信息物理系统脆弱性评估分析

Vulnerability assessment and analysis of cyber-physical power system

电网与通信系统之间的强耦合可能会引起级联故障传播,造成大规模停电。为了定量分析相互依赖关系对电力系统脆弱性的影响,对电力信息物理系统(CPPS)进行建模。利用人工信息网络和IEEE 118总线系统建立相依模型,分别基于“度数-介数”“度数-电气度数”和“随机耦合”3种相互依赖模型,评估和比较CPPS在随机攻击和恶意攻击下的系统脆弱性。仿真结果表明:不同的连接模式、耦合程度和攻击类型都可以影响CPPS的脆弱性;具有“度数-电气度数”相互依赖模型的CPPS在面对随机攻击时表现出更高的鲁棒性,而且在遭受恶意攻击时,其性能要优于其他相互依赖模型。

The strong coupling between the power grid and the communication system may cause cascade fault propagation,leading to large-scale power outages.In order to quantitatively analyze the influence of interdependence on the vulnerability of power systems,the cyber-physical power system(CPPS)is modeled.This paper establishes a dependency model using artificial information networks and IEEE 118 bus systems and evaluates and compares the system vulnerability of CPPS under random and malicious attacks based on three interdependent models:degree-betweenness,degree-electrical degree,and random link.The sim-ulation results show that different connection modes,coupling degrees,and attack types can affect the vulnerability of CPPS,while CPPS with a"degree-electrical degree"interdependence model shows higher robustness in the face of random attacks,and its performance is better than other interdependent models when subjected to malicious attacks.