社团生成结构的电力信息物理系统鲁棒性分析

随着传感器技术的快速发展,信息网与电网的深度融合,电力系统的智能化水平越来越高,但也面临着安全性、脆弱性等一系列问题.结合相互依存网络与介数负荷-容量级联故障模型,提出了包含电网、信息网孤岛运行的连锁故障仿真算法,主要研究了具有社团结构的电力信息物理系统(cyber physical system,CPS)鲁棒性,修正了传统的社团结构生成算法,使其能够生成不同规模社团且社团连接概率可调的无标度网络.采用提出的算法生成信息网和电网社团内部同配耦合的电力CPS模型,使用电网剩余节点比例为评估指标.研究了调度中心处于不同社团时全局连接概率、社团连接概率以及多个调度中心对电力CPS鲁棒性的影响.

The analysis of the robustness of cyber-physical power systems based on community-generated structure

With the rapid development of sensor technology, the deep integration of information network and power grid, the intelligent level of power system is higher and higher, but it also faces a series of problems such as security, vulnerability and so on. Combining the interdependent network with the load-capacity cascading failure model, a cascading failure model including power network and cyber network island operation is proposed to mainly study the robustness of the cyber-physical system (CPS) with community structure. The traditional community structure generation algorithm is modified to generate a scale-free network with different sizes of communities and adjustable connection probability of communities. The proposed algorithm is adopted to generate the CPS model of the cyber network and the internal coordination of the grid community, the proportion of the remaining nodes of the grid is used as the evaluation index. When the control center is in different communities, the influence of global connection probability, community connection probability, and multiple control centers on the robustness of power CPS is studied by simulating cascading failure reaction.