级联失效模型下电力信息物理系统鲁棒性与能控性分析

Analysis of Robustness and Controllability of Cyber-physical Power Systems under Cascading Failure

电力网与信息网的深度融合在增强电力系统能控性的同时,也使得系统抵御外界干扰的能力下降。首先,根据提出的节点负载与容量的负载重分配分配概率建立电力信息物理系统级联失效模型,研究不同耦合策略下的电力信息物理系统级联失效过程中的鲁棒性与能控性变化。其次,利用幸存负荷百分比的概念来量化电力网抵御级联失效的能力,并分析不同耦合策略和容量参数对电力信息物理系统(cyber-physical power systems,CPPS)的鲁棒性和能控性的影响。基于网络能控性理论提出电力节点重要度的评估方法,并且在IEEE39系统中进行验证。研究结果表明,电力网高介数节点与信息网高介数节点耦合形成的电力信息物理网络抗干扰能力更强,电力网节点容量参数比信息网节点容量参数对系统影响更大。

The deep integration of power grid and information network enhances the controllability of the power system while reducing its ability to resist external interference.Firstly,an interdependent model of cascading failures in the cyber-physical power system(CPPS)was established based on the proposed load redistribution scheme using node load and capacity probabilities.This model was used to investigate the robustness and controllability changes in the CPPS under different coupling strategies.Secondly,the concept of surviving load percentage was utilized to quantify the power grid's ability to withstand cascading failures.The effects of different coupling strategies and capacity parameters on the robustness and controllability of CPPS were analyzed.The assessment method for power node importance was proposed based on network controllability theory and validated in the IEEE39 system.The research results indicate that the coupling of high-betweenness nodes in the power grid and high-betweenness nodes in the information network leads to a stronger resistance to interference in the power information physical network,and the capacity parameters of power grid nodes have a greater impact on the system compared to the capacity parameters of information network nodes.