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author:

Xu, Zhiguang (Xu, Zhiguang.) [1] | Lin, Xiaokang (Lin, Xiaokang.) [2] | Chen, Lifan (Chen, Lifan.) [3] | Chen, Hong (Chen, Hong.) [4] | Wu, Xiaoming (Wu, Xiaoming.) [5] | Liu, Yanhua (Liu, Yanhua.) [6] (Scholars:刘延华)

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Abstract:

In the power dispatching data network, the nodes are systematically evaluated in advance, so as to protect the key nodes, which is of great significance to maintain the safe and stable operation of the whole power system. From the perspective of network edge weight, this paper proposes an accurate node influence evaluation method by analyzing the influence of edges in the network. Firstly, the local importance, global importance and business importance of different edges in the network are calculated, and then the comprehensive edge importance is obtained by calculating the index information entropy values. Finally, the importance of the edge is assigned to adjacent nodes, so as to obtain the actual influence of each node. Through simulation experiments, the effectiveness of the algorithm for identifying key nodes in the network efficiency is verified. © 2023 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.

Keyword:

Efficiency Electric load dispatching Electric power system protection

Community:

  • [ 1 ] [Xu, Zhiguang]State Grid Fujian Electric Power Co., Ltd., State Grid Fujian Power Dispatching Control Center, Fuzhou; 350003, China
  • [ 2 ] [Lin, Xiaokang]State Grid Info-Telecom Great Power Science and Technology Co., Ltd., Fuzhou; 350003, China
  • [ 3 ] [Chen, Lifan]School of Software, Xinjiang University, Urumqi; 830008, China
  • [ 4 ] [Chen, Hong]State Grid Info-Telecom Great Power Science and Technology Co., Ltd., Fuzhou; 350003, China
  • [ 5 ] [Wu, Xiaoming]College of Computer and Data Science, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Liu, Yanhua]College of Computer and Data Science, Fuzhou University, Fuzhou; 350108, China

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Source :

Computer Engineering and Applications

ISSN: 1002-8331

CN: 11-2127/TP

Year: 2023

Issue: 16

Volume: 59

Page: 330-336

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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