Cascading failure analysis of bulk power system using small-world network model
Cascading failure analysis of bulk power system using small-world network model
复制标题
DOI：
--
复制
发表时间：
2005-01
期刊：
影响因子：
--
通讯作者：
Zongxiang Lu;Zhongwei Meng;Shuangxi Zhou
中科院分区：
文献类型：
--
作者：
Zongxiang Lu;Zhongwei Meng;Shuangxi Zhou
本文的分析重点是利用小世界网络模型对大电力系统连锁故障发生的机理进行初步探讨。中国国家电网北部与美国西部国家电网的比较表明，中国电网也是一个小世界。然后，将小世界网络集体动力学的研究成果应用于电力系统连锁故障的分析。首先对节点故障和线路故障分别进行了分析，然后提出了一种蒙特卡洛仿真方法来寻找华北电网连锁故障的根本原因。仿真结果表明，级联失效与这些网络的统计特性密切相关，尤其是重构后网络的初始攻击点程度和元件每一步失效后的特征最短路径长度，它们是网络的关键节点和关键线。中国电力系统的历史统计数据也显示出类似的网络临界点存在的规律。
Analysis in this paper is focus on initial probing the mechanism of cascading failures happened in bulk power system using small-world network model. Comparison of the north part of the Chinese national grid and the west state power grid in U.S. shows that the Chinese power gird is also a small-world. Then the achievements in collective dynamics of small-world networks are used to advance the analysis of cascading failure in power systems. We firstly analyze node failure and line breakdown respectively, and then proposed a Monte-Carlo simulation process to search root causes of cascading failure of Northern Chinese Power Grid. Simulation results show that cascading failure is high correlation to the statistical characters of these networks, especially the degree of the initial attack points and the character shortest path length of the restructured network after each step of components out of service, which are critical nodes and critical lines of the network. Historical statistical data of Chinese power system also shows similar rule of the existence of critical points in the networks.