电网技术Issue(4)：1053-1058,6.DOI:10.13335/j.1000-3673.pst.2015.04.027
双网耦合模型中基于级联失效的节点重要度评估
A Cascading Failure Based Nodal Importance Evaluation Method Applied in Dual Network Coupling Model
摘要
Abstract
The interdependence between power grid and information and communication technology (ICT) network is increasingly enhanced, so in the evaluation on importance of network nodes the coupling characteristics between the two networks should be considered. For this reason, in allusion to the insufficiency of traditional node importance evaluation algorithm for single network, a node importance evaluation method for coupled networks, in which the cascading failure is taken into account, is proposed and based on the topological incidence relation between power grid and ICT network a dual network coupling model is established. Starting from the loaded coupling network, the proposed method adds in the load factor during the process of cascading failure and leads in the branch with the maximum load to cope with post-failure subnets and the impacts of invalid node on the network are measured by merging the average load balance degree of adjacent nodes with the parameter of network load rate, thus the importance of nodes in the coupled network can be judged, and the limitation of measuring node importance by single index in single network can be avoided. A simulation model of coupled networks is constructed by IEEE 30-bus system and simulation results are contrasted with those by node contraction method and Max-Cas algorithm respectively, contrast results show that on the basis of identifying the node that triggers the cascading failure the proposed method can distinguish importance differences among nodes in the coupled network in detail.关键词
耦合模型/级联失效/负载重分配/节点重要度Key words
coupling model/cascading failure/load redistribution/node importance分类
信息技术与安全科学引用本文复制引用
吴润泽,张保健,唐良瑞..双网耦合模型中基于级联失效的节点重要度评估[J].电网技术,2015,(4):1053-1058,6.基金项目
国家863高技术基金项目(2014AA01A701)；中央高校基本科研业务费专项资金资助(13MS01)。The National High Technology Research and Development of China 863 Program(2014AA01A701) （2014AA01A701）
Project Supported by the Fundamental Research Funds for the Central Universities (13MS01) （13MS01）
