基于潮流熵的复杂电网自组织临界态判断模型  

An Identification Model for Self-organized Criticality of Power Grids Based on Power Flow Entropy

作　　者：曹一家[1] 王光增[2] 曹丽华[1] 丁理杰[3] 

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]金华电业局,浙江省金华市321017 [3]四川省电力试验研究院,四川省成都市610072

出　　处：《电力系统自动化》2011年第7期1-6,共6页Automation of Electric Power Systems

基　　金：国家重点基础研究发展计划(973计划)资助项目(2004CB217902);国家自然科学基金资助项目(50977022);国家自然科学基金创新群体项目(60721062)~~

摘　　要：为研究复杂电网大停电的发生机理,同时找出影响大停电发生的关键因素,文中基于熵理论提出了电网的潮流熵概念,用以定量描述线路潮流分布的不均衡性。基于潮流熵提出了复杂电网自组织临界态判断模型。对IEEE 118节点系统的仿真结果表明,潮流熵对电网连锁故障的传播具有重要影响,是决定系统是否进入自组织临界态的重要因素。使用该判断模型分析了IEEE 118节点系统在给定的平均负载率下进入自组织临界态时的潮流熵。潮流熵较好地解释了实际电网在平均负载率较低时由于线路潮流分布的高度不均衡性而进入自组织临界态的现象。To study how large-scale blackouts take place and find out the key factors affecting the spread of cascading failures,based on the entropy theory,a new concept of power flow entropy is proposed to quantify the unevenness extent of the power flow,and an identification model for self-organized criticality of power grids is proposed based on the power flow entropy.Simulation results on the IEEE 118-bus system indicate that the power flow entropy has important influence on the spread of cascading failures,and is one of the key factors determining the power grid whether to evolve into its self-organized criticality.The value of power flow entropy of the IEEE 118-bus system is presented when the system reaches its self-organized criticalities at given load levels.The power flow entropy reasonably elucidates why practical power systems with low average load level can reach their self-organized criticalities.

关 键 词：潮流熵 连锁故障 隐性故障模型 自组织临界性 

分 类 号：TM711[电气工程—电力系统及自动化]