| With the development of society and technology,there are more and more relationships between things in reality,which can be described by network.As these relationships become more and more complicated,the links between two or even more systems are gradually produced,forming interdependent networks.However,in the interdependent network,the failure in one side will affect the other side,which makes the cascading failure of the interdependent network more serious than that of a single network.Power information network is a typical interdependent network,in which power network provides power support for information network,and information network provides data support for power network.The network will cause serious cascading failure resulting in much more massive losses.Large scale blackouts in the past few years are caused by cascading failures of power information network.Therefore,the research on robustness of power information interdependent network can help people better understand the cascading failure of the network,and provide strategic advice for improving the reliability of power network.Based on the theory of complex network,this paper studied the robustness and cascading failure model of the interdependent network,and analyzed the structure and robustness of the power information network combined with its characteristics.The main work is as follows.(1)Research on robustness indicators of cascading failure for interdependent networks.According to the theory of interdependent network,the method of constructing interdependent network is given.Based on the analysis of the principle of cascading failure model and some commonly used robustness indicators,a new robustness indicator based on the Largest-component Relative Efficiency is proposed.With the simulation for rationality verification of each indicator,the results show that the indicator proposed in this paper is more accurate to measure the robustness variations of the interdependent network in the cascading failure process than those are commonly used at present,and can be applied to simulation-based robustness analysis for large-scale interdependent networks.(2)Research on the structure and robustness of power information network.The power information network model is constructed by real power grid data set as power network and different types of information networks based on the structure of the power network,as well as a controllable interdependent mode.Then,according to the cascading failure model for interdependent network,the structural characteristics of power information network are analyzed by studying the robustness of power information network under different structures.(3)Research on cascading failure model of dependent networks based on a probability model of node failures.Considering the load capacity of nodes,the influential factors are equivalent to a probability mechanism of node failures.Based on this mechanism,an improved cascading failure model of load capacity for interdependent networks is proposed.Compared with the ideal cascading failure model,in this model,each node may cause a failure due to the influential factors besides being attacked and overload,which can reflect the robustness of interdependent network more practically.Then,using the power information network constructed above,the cascading failure model based on the probability model of node failures is compared with the ideal load capacity cascading failure model.With the simulation of the influence on the robustness of the dependent network in various factors such as interdependent mode,attack mode and average degree,the results prove that the robustness of the network in this model is closer to the actual situation than the ideal model,which provides a better reference for proposing a more practical node protection strategy. |