摘要
由于电力信息物理系统(CPS)网络的非均匀性及风险传播过程的动态性,使得风险爆发的临界点难以数值确定。从相依网络视角出发,提出一种基于渗流理论的电力CPS网络风险传播阈值确定方法。首先,根据拓扑关联和耦合逻辑将电力CPS网络抽象为双层复杂网络有向图,并采用非对称balls-into-bins分配方法建立"一对多"及"部分耦合"的非均匀电力CPS表征模型。然后,考虑信息层与物理层链接之间的方向性及依赖关系,引入渗流概率对各层内部耦合关系建立传播动力学方程。最后,通过定义电力CPS网络节点的生存函数对风险传播阈值进行数值求解,并以IEEE 30节点系统和150节点的Barabsi-Albert模型算例验证了所述方法的有效性。
Due to the inhomogeneity of power cyber physical system(CPS)network and the dynamics of risk propagation process,it is difficult to determine the critical point of risk outbreak.From the perspective of dependent network,this paper proposes a method for determining the risk propagation threshold of power CPS network based on percolation theory.Firstly,according to topological association and coupling logic,the power CPS network is abstracted as a dual layer complex network with directed unauthorized graph.Asymmetric balls-into-bins distribution method is used to establish"one to many"and"partial coupling"CPS characterization models for non-uniform electric power.Then,considering the directionality between information layer and physical layer links,the percolation probability is introduced to establish the propagation dynamic equation for internal coupling relationship of each layer.Finally,the risk propagation threshold is solved by defining the survival function of the nodes in power CPS network,and the effectiveness of the proposed method is verified by an example of IEEE 30-bus system and 150-bus BarabsiAlbert model.
作者
曲朝阳
赵腾月
张玉
曲楠
刘宇晴
孙建
QU Zhaoyang;ZHAO Tengyue;ZHANG Yu;QU Nan;LIU Yuqing;SUN Jian(School of Computer Science,Northeast Electric Power University,Jilin 132012,China;Jilin Engineering Technology Research Center of Intelligent Electric Power Big Data Processing,Jilin 132012,China;Zhejiang Windey Co.,Ltd.,Hangzhou 310012,China;Maintenance Company of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 211102,China;School of Electrical Engineering,University of Bass,Bass BA26PS,UK;State Grid Jilin Electric Power Supply Company,Changchun 130021,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第4期16-23,共8页
Automation of Electric Power Systems
基金
国家自然科学基金重点项目（51437003）
吉林省科技发展计划项目（20180201092GX）~~
关键词
电力信息物理系统
复杂网络
渗流概率
传播阈值
传播动力学
power cyber physical system
complex network
percolation probability
propagation threshold
propagation dynamics
