Journal of Guangxi Normal University(Natural Science Edition) ›› 2019, Vol. 37 ›› Issue (1): 133-141.doi: 10.16088/j.issn.1001-6600.2019.01.015

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Critical Node Identification for Power Systems Based on Network Structure and Power Tracing

ZOU Yanli*,YAO Fei,WANG Yang,WANG Ruirui,WU Lingjie   

  1. College of Electronic Engineering, Guangxi Normal University, Guilin Guangxi 541004,China
  • Received:2018-06-03 Online:2019-01-20 Published:2019-01-08

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Abstract: Based on the topology of the power grid and the power tracing technique, a critical node identification method is proposed. Firstly,according to the result of the power flow calculation, the power flow direction between nodes can be obtained and then the power grid can be traced,so as to get the link strength matrix of nodes and establish the weighted directed network model for the power grid.Accordingly, the outbound and inbound strengths of the nodes as well as an evaluation index of nodes can be defined according to their importance based on the node strength and load weight.Taking IEEE39 system and IEEE14 system as testing cases, the importance of the nodes in each system is ranked. According to the results of ranking, the nodes will be overload attacked. To verify whether the order of importance of the nodes is reasonable,the change of power flow entropy is calculated after the node is overload attacked. The results show that the proposed method is more reasonable and effective in identifying the critical nodes of the power grid.

Key words: weighted-directed network, power tracing, power flow entropy, overload attack, critical node identification

CLC Number: 

  • TM74
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