中心性
正确性
级联故障
计算机科学
脆弱性(计算)
钥匙(锁)
节点(物理)
复杂网络
电力系统
导纳
分布式计算
脆弱性评估
网格
相互依存的网络
拓扑(电路)
可靠性工程
功率(物理)
工程类
计算机安全
算法
电气工程
数学
心理弹性
心理治疗师
电阻抗
结构工程
万维网
心理学
几何学
量子力学
物理
组合数学
作者
Bin Liu,Zhen Li,Xi Chen,Yuehui Huang,Xiangdong Liu
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2017-05-18
卷期号:65 (3): 346-350
被引量:221
标识
DOI:10.1109/tcsii.2017.2705482
摘要
The analysis of blackouts, which can inevitably lead to catastrophic damage to power grids, helps to explore the nature of complex power grids but becomes difficult using conventional methods. This brief studies the vulnerability analysis and recognition of key nodes in power grids from a complex network perspective. Based on the ac power flow model and the network topology weighted with admittance, the cascading failure model is established first. The node electrical centrality is further pointed out, using complex network centrality theory, to identify the key nodes in power grids. To effectively analyze the behavior and verify the correctness of node electrical centrality, the net-ability and vulnerability index are introduced to describe the transfer ability and performance under normal operation and assess the vulnerability of the power system under cascading failures, respectively. Simulation results of IEEE 30-bus and IEEE 57-bus test cases show that the key nodes can be effectively identified with high electrical centrality, the resultant cascading failures that eventually lead to a severe decrease in net-ability, verifying the correctness and effectiveness of the analysis.
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