中国电机工程学报Issue(22)：5740-5748,9.DOI:10.13334/j.0258-8013.pcsee.2015.22.008
基于加权网络拓扑熵的电网自组织临界状态演化
Evolution of Grid’s Self-organizing Critical State Based on Weighted Network Topology Entropy
摘要
Abstract
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 (VaR). The weighted network topology entropy is proved to be real-time available and comprehensive in representing the level of grid’s self-organize criticality.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Key words
cascading failure/self-organize criticality/key node/nodal flow/weighted grid structure entropy分类
信息技术与安全科学引用本文复制引用
刘文颖,蔡万通,张宁,但扬清,刘宇石..基于加权网络拓扑熵的电网自组织临界状态演化[J].中国电机工程学报,2015,(22):5740-5748,9.基金项目
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)。Project Supported by National Natural Science Foundation of China (51377053) （51377053）
Key Project of the National Eleventh-Five Year Research Program of China (2015BAA01B04) （2015BAA01B04）
The Fundamental Research Funds for the Central Universities (2015XS02) （2015XS02）
