Research Of Robustness Of Cascading Failures In Smart Grid Based On Complex Network

With the continuous development of economy and the improvement of living standards,the traditional electric power network can't meet the demand of people's daily life and industrial production,the concept of the smart grid is put forward to solve the problems.As an emerging subject,complex network provides a new perspective to the research of the smart grid.In recent years,the large-scale blackout accidents around the world also make cascading failure in smart grid attract more and more attention from researchers.How to build,maintain and repair a stable,robust and strong power network become a research hotspot.Many researchers build the network model from different perspectives to study the different characteristics of the smart grid.Using complex network theory,this paper carry out a model of smart grid,it is summarized below:1.Base on the original modeling and simulation analysis,a kind of dynamic cascade failures simulation model considering both of physical properties and the topological characteristics of power grid is built,it analysis the network robustness under object removal and random removal,and analysis the rationality of different edge weight definition by using regression curve.Besides,it also study the effect of different tolerance parameters and power stations on cascading failure of smart grid.2.By using network efficiency as measurement,it analyses the robustness degradation after removing different combinations of edge and node,as well as robustness enhancement after adding edges.A optimization algorithm is applied to looking for the combination of n nodes combination which lead to most decline in network efficiency,it shows that this algorithm can effectively find the combination of n nodes.3.Build an interdependent network of electric power network and information network in the smart grid,and study the effect of different connection mode in interdependent network and removal ratio on network robustness.Using two scale-free networks to simulate electric network and information network,studies suggest that the greater average degree of information network and the smaller average degree of electric power network,the stronger robustness of interdependent network.