Research on Key Node Identification Method of Transmission Network based on Improved PageRank Algorithm

被引：0

作者：

Cheng Wenji ^{[1
]}

Yang Bo ^{[1
]}

Zhang Ruigang ^{[1
]}

Wu Qiong ^{[1
]}

Zhu Binsha ^{[1
]}

Liu Zengbo ^{[1
]}

Xi Hang ^{[1
]}

Niu Kai ^{[1
]}

机构：

[1] Xian Thermal Power Res Inst Co Ltd, Xian 710054, Peoples R China

来源：

2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年

关键词：

Improved PageRank algorithm; load loss; transmission capacity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to effectively identify the key nodes before power grid failure, an improved PageRank algorithm is proposed to identify the key nodes in power system. Firstly, establish undirected network, introduce power flow and establish network model. Secondly, the node types are divided and the transmission matrix is established. Finally, according to the equivalent impedance value, the Google electric matrix is established to form an improved PageRank algorithm to identify the key nodes in the power system. The simulation results of IEEE 39 bus system show that this method is feasible and effective in terms of load loss and transmission capacity.

引用

页码：5056 / 5061

页数：6

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