考虑节点异质性和故障函数的电力信息物理系统风险传播模型

由于电力信息物理系统的耦合建模方法大多数依赖网络拓扑结构划分节点类型，未考虑节点信息的属性，同时也忽略了不同节点类型对风险传播的影响，削弱了对风险预测的能力。因此，提出了一种考虑节点异质性和故障函数的电力信息系统风险传播模型。首先对实际电力网络节点特性以及耦合性特点进行分析，结合节点异质性提出双网节点的表征方法，基于双网物理和逻辑依赖关系，设计了电力信息物理融合系统(cyber physical systems, CPS)表征模型。在此基础上，考虑双网状态交互影响的方向性及节点的依赖性，分析影响风险传播的因素，通过定义基于节点度的故障概率函数，构建了电力CPS风险传播模型。以合成网络和意大利真实数据所建立的耦合网络进行实验分析，证明模型的有效性。

Risk Propagation Model of Power Information Physical System Considering Node Heterogeneity and Fault Function

Because most coupling modeling methods of power information physical system rely on network topology to divide node types, the attributes of node information are not considered, and the influence of different node types on risk propagation is also ignored, which weakens the ability of risk prediction. Therefore, a risk propagation model of power information system considering node heterogeneity and fault function is proposed. Firstly, the characteristics and coupling characteristics of actual power network nodes are analyzed, and the characterization method of dual network nodes is proposed based on node heterogeneity. Based on the physical and logical dependence of dual network, the power CPS characterization model is designed. On this basis, considering the directivity and node dependence of dual-network state interaction, the factors affecting risk propagation were analyzed. By defining the fault probability function based on node degree, the power CPS risk propagation model was constructed. Experimental analysis was carried out with the coupling network of synthetic network and real Italian data to prove the effectiveness of the model.