基于最大连通子图相对效能的相依网络鲁棒性分析  

Robustness Analysis of Interdependent Networks Based on the Largest-Component Relative Efficiency

作　　者：赵娜[1,2,3] 柴焰明 尹春林 杨政 王剑 苏适[3] ZHAO Na;CHAI Yan-ming;YIN Chun-lin;YANG Zheng;WANG Jian;SU Shi(School of Software,Yunnan University,Kunming,650091;Key Laboratory in Software Engineering of Yunnan Province,Yunnan University,Kunming,650091;Electric Power Research Institute of Yunnan Power Grid,Kunming,650217;College of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,650504)

机构地区：[1]云南大学软件学院,昆明650091 [2]云南大学软件学院软件工程重点实验室,昆明650091 [3]云南电网有限责任公司电力科学研究院,昆明650217 [4]昆明理工大学信息工程与自动化学院,昆明650504

出　　处：《电子科技大学学报》2021年第4期627-633,共7页Journal of University of Electronic Science and Technology of China

基　　金：国家重点研发计划(2018YFB2100100);国家自然科学基金(62066048);中国博士后科学基金(2020M673312);云南省教育厅科学研究基金(2019J0010,2019J0008);云南省科技厅面上项目(202001BB050063);昆明市卫健委项目(2020-09-04-112)的资助。

摘　　要：目前鲁棒性指标的研究主要针对单一网络,而对相依网络的探究较少。为此,该文对鲁棒性研究中几个常用的鲁棒性指标进行探究,针对相依网络级联失效过程,提出了基于最大连通子图相对效能的鲁棒性度量指标,并通过仿真实验验证其合理性。结果表明,相比现有常用指标,该指标能更准确地衡量相依网络在级联失效过程中的鲁棒性变化,可适用于大规模相依网络中基于仿真的鲁棒性分析。The research on robustness indicators is mainly focused on single network,but less on interdependent networks.This paper explores some commonly used robustness indicators.Aiming at the cascading failure of interdependent networks,a new robustness indicator based on the largest-component relative efficiency is proposed.With the simulation for rationality verification,the results show that the indicator proposed in this paper is more accurate to measure the robustness variations of the interdependent networks in the cascading failure process than those are commonly used at present,and it can be applied to simulation-based robustness analysis for large-scale interdependent networks.

关 键 词：级联失效 复杂网络 相互依存网络 鲁棒性 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]