基于复杂网络理论的电力基础设施网络关键组件辨识  

Critical Components Identification of Power Infrastructure Systems Based on Complex Network Theory

作　　者：张颖淳[1] 王淑良[1] 

机构地区：[1]重庆交通大学信息科学与工程学院,重庆400074

出　　处：《计算机科学》2014年第5期275-279,共5页Computer Science

基　　金：重庆高校创新团队:大型结构全寿命监测关键技术(KJTD201306);国家自然科学基金项目:关联基础设施网络的弹性评估(51208223)资助

摘　　要：电力网络作为典型的关键基础设施网络,其组件的关键性辨识对于分析、理解、识别电力网络的脆弱性,进而提出相应的保护措施和改进策略有着重要的意义。基于此,利用复杂网络理论和方法,从复杂网络统计指标、扰动下电力网络性能变化两个不同角度探讨了电力网络的关键组件辨识方法,获取了电力网络的关键节点与关键边。通过识别网络的关键组件可以控制级联故障,指出哪些组件需要重点保护,并采取缓解策略来降低其在扰动下的脆弱性。As a typical critical infrastructure system,key components identification of the power network has great importance for analyzing and understanding vulnerability of the power network.On this basis,by utilizing the method of complex network,this paper studied the key components from aspects of complex network statistical index and performance variation under disturbance.Key components of the power network were acquired and identified to better protect the systems.It is helpful in providing decision support on cascading failures control and system improvement.

关 键 词：电力网络 复杂网络 脆弱性分析 关键组件 基础设施保护 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]