摘要
为研究大规模互联电网连锁故障的传播机理,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,并定义综合考虑节点和边差异性的加权网络拓扑结构熵的概念。连锁故障过程中结构熵的变化能有效地反映故障传播的速度。利用遗传算法迭代计算相同结构下结构熵指标的最大值与最小值,将连锁故障过程中结构熵值归一化从而消除电网规模对结构熵指标的影响,得到标准化结构熵值。通过分析故障前后电网标准化结构熵值的变化辨识电网结构中"异构"线路。对IEEE 118节点系统和华北电网仿真实验说明通过主动移除"异构"线路能改善电网结构异构性,增强网络抵抗连锁故障的能力。
To study how large-scale blackouts take place, the impedance-based topological model and cascading failure model for weighted power grid is proposed. Considering both node and edge differences to define a new network structure entropy which is to quantitatively describe the faults evolution and unbalanced distribution edges in power network structure. The structure entropy has important influence on the spread of cascading failures. The standard structure entropy is proposed by GA(genetic algorithm). The change of standard structure entropy during cascading failure is a way to capture 'heterogeneity' of power grid. Simulation results on IEEE 118-bus system and North-China power system indicate that intentional removal of some edges according to their standard structure entropy can improve heterogeneity of the grid structure and make defiance against the cascading failure
出处
《电工技术学报》
EI
CSCD
北大核心
2015年第3期36-43,共8页
Transactions of China Electrotechnical Society
基金
国家自然科学基金重点资助项目(51137003
61233008)
关键词
连锁故障
复杂网络
结构熵
负荷分配
Cascading failure,complex networks,structure entropy,load distribution
