Identification Method of Key Nodes in Power System Based on Improved PageRank Algorithm

被引：0
|
作者：
Li C. [1 ]
Kang Z. [1 ]
Yu H. [1 ]
Li X. [1 ]
Zhao B. [2 ]
机构：
[1] College of Information and Control Engineering, China University of Petroleum, Qingdao
[2] China Electric Power Research Institute Co. Ltd, Beijing
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷 / 09期
关键词：
Derivative network; Improved PageRank algorithm; Key nodes; Security and stability; Sensitivity;
D O I：
10.19595/j.cnki.1000-6753.tces.180933
中图分类号：
学科分类号：
摘要：
In order to identify the key nodes at the beginning of the power system ault, a recognition method of key nodes based on the improved PageRank algorithm is proposed. First, the sensitivity matrix of voltage reactive power and the sensitivity matrix of phase angle active power are obtained based on Jacobi matrix to define the link matrices under different indices of system. Secondly, considering the influence of power communication system on power network, the derived networks are defined based on the node contraction principle, and the link matrices are modified to get the network expansion matrices. Finally, the weight of system nodes are obtained based on the improved PageRank algorithm and the system nodes are sorted according to the weight values. The correctness of the method is verified on the simulation of IEEE39 bus system. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：1952 / 1959
页数：7
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