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基于拓扑-运行综合特性的电网关键节点辨识方法

李长城 吕金峰 张翌晖 李昊燃 潘松 严乙桉

电力系统及其自动化学报2025,Vol.37Issue(10):53-63,11.
电力系统及其自动化学报2025,Vol.37Issue(10):53-63,11.DOI:10.19635/j.cnki.csu-epsa.001510

基于拓扑-运行综合特性的电网关键节点辨识方法

Method for Identifying Critical Nodes in Power Network Based on Integrated Topological and Operational Characteristics

李长城 1吕金峰 1张翌晖 2李昊燃 1潘松 1严乙桉3

作者信息

  • 1. 广西电力系统最优化与节能技术重点实验室(广西大学),南宁 530004
  • 2. 广西电网有限责任公司电力科学研究院,南宁 530023
  • 3. 国网冀北电力有限公司电力科学研究院,北京 100044
  • 折叠

摘要

Abstract

A method for identifying the critical nodes in a power network is proposed in this paper based on the Tsallis entropy and power flow betweenness,which aims to fully identify the critical nodes in the power network by comprehen-sively taking into account its topological and operational characteristics.First,based on the node's structural hole con-straint coefficients and K-shell values,the complexity of the network topology is measured by combing the Tsallis entro-py,and the nonlinear relationship between the local and global criticalities is comprehensively considered to formulate the node's Tsallis entropy index.Second,a power flow tracing algorithm is used to calculate the power flow between-ness of branches between nodes in the power network,and the directionality of power flow is incorporated to establish a power flow betweenness degree index for the node.Finally,the analytic hierarchy process and entropy weight method are used to assign weights for the combination of the node's Tsallis entropy index and power flow betweenness degree in-dex,thereby obtaining a comprehensive evaluation index for node criticality that both satisfies the subjective preference and accounts for the objective data.On this basis,an accurate and comprehensive identification of node criticality for the power network is realized.The feasibility,reasonableness and applicability of the proposed method are verified us-ing IEEE 39-node and 118-node test systems.

关键词

关键节点辨识/Tsallis熵/潮流介数/复杂网络

Key words

critical node identification/Tsallis entropy/power flow betweenness/complex network

分类

动力与电气工程

引用本文复制引用

李长城,吕金峰,张翌晖,李昊燃,潘松,严乙桉..基于拓扑-运行综合特性的电网关键节点辨识方法[J].电力系统及其自动化学报,2025,37(10):53-63,11.

基金项目

广西科学基金资助项目(2020GXNSFBA297069). (2020GXNSFBA297069)

电力系统及其自动化学报

OA北大核心

1003-8930

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