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
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