摘要
针对目前电网自组织临界状态演化的研究主要集中于网架结构或运行状态单一因素的情况,总结了两者在决定电网自组织临界演化进程上的区别和联系,并结合实际电网运行状态和网架结构不断变化的特点,以及通讯网中流量和有效性能模型中网络效率的定义,提出节点流量的概念,充分体现和量化了节点在传输电能中发挥的作用;在此基础上,提出用节点流量进行加权的加权网络拓扑熵,不仅能反映节点在各节点度数区间的分布情况,还能定量判断各区间节点的重要程度,其能自动跟踪电网的运行状态和网架结构变化,动态反映电网的自组织临界演化趋势,物理背景更加符合电力系统实际。结合大停电风险评估指标对河西电网的自组织临界演化进行了仿真计算,仿真结果证明加权网络拓扑熵在表征电网自组织临界演化水平上的实时性和全面性。
The research on self-organized criticality was mainly on grid structure or operating state. The differences and relationships on self-organizing critical state between them were concluded in this paper. The nodal flow was first proposed on the basis of flow in communication network and network efficiency in effective-properties model, considering the continuously change of grid structure and operating state. The nodal flow could quantitatively reflect the function of node on power transmission. On the basis, the weighted network topology entropy weighted by nodal flow was proposed to represent the effect of node degree and degree distribution changes, thus representing the importance of node. Moreover, the weighted network could automatic track the change of grid structure and operating state and dynamic reflected the trend of evolution of grid＇s self-organizing critical state. Its physical background was more in line with practical situation of power system. The process of self-organize criticality was verified by simulating Hexi power grid with the blackout risk assessment index（Va R）. The weighted network topology entropy is proved to be real-time available and comprehensive in representing the level of grid＇s self-organize criticality.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2015年第22期5740-5748,共9页
Proceedings of the CSEE
基金
国家自然科学基金项目(51377053)
"十一五"国家科技支撑计划项目(2015BAA01B04)
中央高校基本科研业务费专项基金(2015XS02)~~
关键词
连锁故障
自组织临界态
关键节点
节点流量
加权网络拓扑熵
cascading failure
self-organize criticality
key node
nodal flow
weighted grid structure entropy
