基于加权网络结构熵的电网连锁故障研究  

Cascading Failure in Weighted Power Grid Based on Structure Entropy

作　　者：蔡晔[1] 陈彦如[1] 曹一家[1] 黄小庆[1] 谭玉东[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《复杂系统与复杂性科学》2013年第1期53-59,共7页Complex Systems and Complexity Science

基　　金：国家自然科学基金面上项目(50977022);国家自然科学基金重点项目(51137003)

摘　　要：为研究大规模互联电网连锁故障的发生机理,选取输电线路的电抗值作为线路权重,建立电网加权拓扑模型,定义综合考虑节点和边差异性的加权网络拓扑模型结构熵的概念,以此描述故障演化过程中电网拓扑结构的不均衡性。对新英格兰39节点系统和IEEE118节点系统动态仿真实验说明,在连锁故障中,结构熵值的变化规律能较好地表征连锁故障的传播特性,同时结构熵值越小,系统损失负荷越多。To study the mechanism of the blackouts in power systems,we propose an impedance-based topological model and cascading failure mechanism model for weighted power grid.Considering both node and edge differences a new network structure entropy is defined to quantitatively describe the faults evolution and unbalanced distribution of power network structure.Simulation results on the New England 39-bus system and IEEE118-bus system indicate that power network structure entropy has important influence on the spread of cascading failures.The smaller network structure entropy is,the more load loss in power system.

关 键 词：连锁故障 复杂网络 结构熵 负荷分配 

分 类 号：TM714[电气工程—电力系统及自动化] N94[自然科学总论—系统科学]