基于电气距离的复杂电网关键节点识别  

Critical Node Identification for Complex Power Grid Based on Electrical Distance

作　　者：谭玉东[1] 李欣然[1] 蔡晔[1] 张宇栋[2] 

机构地区：[1]湖南大学电气与信息工程学院,湖南省长沙市410082 [2]浙江大学电气工程学院,浙江省杭州市310058

出　　处：《中国电机工程学报》2014年第1期146-152,共7页Proceedings of the CSEE

基　　金：国家自然科学基金重点项目(51137003;61233008)~~

摘　　要：深入研究电力系统复杂网络特性及连锁故障传播机理对预防大停电事故至关重要。在分析电力网潮流分布机理的基础上,针对经典复杂网络模型不能很好地结合决定网络潮流分布定律的问题,提取蕴含于电网特征参数中的物理信息,根据叠加原理计算得出电网节点间电气距离,基于电气距离提出了网络节点电气耦合连接度的概念。建立基于节点电气耦合连接度的电力系统复杂网络特性辨识模型。与已有复杂电网模型相比,该模型更符合电力系统实际。通过对IEEE标准示例系统的计算,揭示电网内在的异质结构特性,并将该指标应用于电力网关键节点识别。对IEEE 39节点系统和湖南某地区电网进行分析计算,时域仿真结果表明,所提指标比拓扑度指标更为合理有效。It is extremely important to prevent blackouts tO understand the mechanism of cascading failure propagation in power networks. The physical laws which govern the flow of power through network were studied. To solve the problem that classical complex network model can not explicitly incorporate the laws governing the flow of electricity within networks, the electrical distance between pairs of nodes was calculated according to superimposed principle based on the information contained in the character of power network. The characteristic identification model of power grid was built with a more comprehensible physical background than the existing model based on the electrical coupling connectivity metric which is defined according to electrical distance between nodes. Case study on IEEE test systems shows the internal heterogeneous structural characteristics of power grids. The electrical coupling connectivity metric was applied to critical nodes identification in power grids. The IEEE 39-bus system and regional power grid of Hunan province were analysed and the time domain simulation shows the presented indicator is more reasonable and effective than the topological degree.

关 键 词：关键节点 复杂网络 电气距离 节点电气耦合连 接度 无标度特性 脆弱性指标 

分 类 号：TM73[电气工程—电力系统及自动化]