Critical Nodes Identification for Power Grid Based on Electrical Topology and Power Flow Distribution

被引:12
|
作者
Fan, Bing [1 ]
Shu, Nan [1 ]
Li, Zewei [2 ]
Li, Fangxing [3 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[2] State Grid Hebei Elect Power Co Ltd, Rongcheng Cty Power Supply Branch, Rongcheng 071700, Peoples R China
[3] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
来源
IEEE SYSTEMS JOURNAL | 2023年 / 17卷 / 03期
基金
中国国家自然科学基金;
关键词
Critical nodes identification; node importance; PageRank algorithm; power grid; NETWORK; MODEL; SYSTEMS;
D O I
10.1109/JSYST.2022.3227632
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The continuous development of the power industry has driven the increasing scale and complexity of power grids. There are critical nodes within these grids, the failure of which can easily lead to serious power system accidents. In order to effectively identify the critical nodes in a power grid, a critical nodes identification algorithm considering electrical topology and power flow distribution (ETPD-CNIA) is proposed. First, a node interaction model based on the line outage distribution factors is presented. Then, the model is introduced into the PageRank algorithm to calculate the node importance based on the electrical network topology. Finally, considering the node importance based on both the electrical network topology and the actual power flow distribution by an adaptive coefficient, the critical nodes are identified effectively. Simulations on the IEEE 39-bus system and the IEEE 118-bus system show that, compared with existing algorithms, the proposed ETPD-CNIA is more effective and accurate in identifying critical nodes in the power grid.
引用
收藏
页码:4874 / 4884
页数:11
相关论文
共 50 条
  • [21] Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory
    Bai, Xiwei
    Liu, Daowei
    Tan, Jie
    Yang, Hongying
    Zheng, Hengfeng
    ENERGIES, 2019, 12 (05)
  • [22] Parameter Identification of Power Distribution System Based on Dynamic Graph Topology
    Wang, Zhiwei
    Jiang, Wei
    Zhou, Aihua
    Min, Xu
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025, 21 (02) : 1309 - 1318
  • [24] Identification of Power Grid Critical Lines Based on Comprehensive Transmission Betweenness
    Cao, Yu
    Zhang, Yu
    Guo, Chuangxin
    Zhu, Bingquan
    Xu, Lizhong
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [25] Identification of Critical Lines in Power Grid Based on Flectric Betweenness Hntropy
    Yu, Zhenfan
    Huang, Shaowei
    Ma, Zhiyuan
    Chen, Gang
    2015 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2015,
  • [26] Characterization of Qualified Grid Nodes for the Identification of Power Network Oscillations
    Mandal, Akash Kumar
    De, Swades
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2025, 61 (01) : 981 - 993
  • [27] Research on Topology of DC Distribution Network Based on Power Flow Optimization
    Yi, Yue
    Yuan, Zhichang
    Ji, Yirun
    2017 FIRST IEEE INTERNATIONAL CONFERENCE ON ENERGY INTERNET (ICEI 2017), 2017, : 344 - 348
  • [28] Identification of Key Nodes of Targeted Attack in Urban Power Grid Based on Asymmetric Grid Structure Information
    Li C.
    Liu W.
    Zhang Y.
    Liu G.
    Yang Y.
    Xu Y.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (21): : 8230 - 8243
  • [29] The Implementation of Smart Meters for Electric Grid Improvements and Reliable Power Flow Data on Electrical Power Distribution Network
    Ndaba, Sindi
    Davidson, Innocent E.
    2020 IEEE PES & IAS POWERAFRICA CONFERENCE, 2020,
  • [30] Critical Nodes Identification of Complex Power Systems Based on Electric Cactus Structure
    Yang, Dong-Sheng
    Sun, Yun-He
    Zhou, Bo-Wen
    Gao, Xiao-Ting
    Zhang, Hua-Guang
    IEEE SYSTEMS JOURNAL, 2020, 14 (03): : 4477 - 4488