拓扑(电路)
节点(物理)
网络拓扑
计算机科学
电力系统
功率(物理)
网格
分布式计算
工程类
计算机网络
电气工程
数学
几何学
量子力学
结构工程
物理
作者
Bing Fan,Nan Shu,Zewei Li,Fangxing Li
出处
期刊:IEEE Systems Journal
[Institute of Electrical and Electronics Engineers]
日期:2022-12-21
卷期号:17 (3): 4874-4884
被引量:29
标识
DOI:10.1109/jsyst.2022.3227632
摘要
The continuous development of the power industry has driven the increasing scale and complexity of power grids. There are critical nodes within these grids, the failure of which can easily lead to serious power system accidents. In order to effectively identify the critical nodes in a power grid, a critical nodes identification algorithm considering electrical topology and power flow distribution (ETPD-CNIA) is proposed. First, a node interaction model based on the line outage distribution factors is presented. Then, the model is introduced into the PageRank algorithm to calculate the node importance based on the electrical network topology. Finally, considering the node importance based on both the electrical network topology and the actual power flow distribution by an adaptive coefficient, the critical nodes are identified effectively. Simulations on the IEEE 39-bus system and the IEEE 118-bus system show that, compared with existing algorithms, the proposed ETPD-CNIA is more effective and accurate in identifying critical nodes in the power grid.
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