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
  • [11] Identification of critical line in power systems based on absolute power flow betweenness and distribution factor correlation
    Jia Y.
    He H.
    Jia, Yanbing (jybtyut@163.com), 1600, Science Press (43): : 307 - 313
  • [12] Identification of Key Nodes in a Power Grid Based on Modified PageRank Algorithm
    Zhu, Darui
    Wang, Haifeng
    Wang, Rui
    Duan, Jiandong
    Bai, Jing
    ENERGIES, 2022, 15 (03)
  • [13] Identification of Vulnerable Lines in Power Grid Based on Power Flow Correlation Network
    Fan, Wenli
    Ye, Yurun
    Li, Quanyou
    Xiao, Yeqi
    Xiong, Liying
    He, Xiaofeng
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2024, 59 (05): : 1006 - 1013
  • [14] Risk identification method of power grid division based on power flow entropy
    Hu Yangyu
    Huo Qidi
    Tang Xiaojun
    Chen Meng
    2020 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL ENGINEERING, PTS 1-5, 2020, 546
  • [15] Topology Identification in Distribution Network Based on Power Injection Measurements
    Mei Rui
    Yu Kun
    Chen Xingying
    PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2017, : 477 - 484
  • [16] Identification of Critical Lines in Power Grid Based on Line Proportion
    Sun Zhiyuan
    Liu Mosi
    Liu Peng
    3RD INTERNATIONAL CONFERENCE ON INTELLIGENT ENERGY AND POWER SYSTEMS (IEPS 2017), 2017, : 110 - 118
  • [17] Identification of Power Grid Critical Nodes Based on Voltage Anti-interference Factors and Comprehensive Influence Factors
    Liu Dagui
    Wang Xuandan
    Li Huaqiang
    Qi Xiaoxiao
    Yu Yongjun
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 113 - 117
  • [18] Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks
    Li, Yu-Shuai
    Ma, Da-Zhong
    Zhang, Hua-Guang
    Sun, Qiu-Ye
    APPLIED SCIENCES-BASEL, 2015, 5 (03): : 622 - 636
  • [19] IDENTIFICATION OF POWER FACTOR IN MARINE ELECTRICAL GRID
    Nicewicz, Grzegorz
    Sosinski, Michal
    Tarnapowicz, Dariusz
    GEOCONFERENCE ON ENERGY AND CLEAN TECHNOLOGIES, VOL II, 2014, : 391 - 398
  • [20] Leveraging Power Grid Topology in Machine Learning Assisted Optimal Power Flow
    Falconer, Thomas
    Mones, Letif
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (03) : 2234 - 2246