A vulnerable points identification method based on complex network theory and an operation index

被引：0
作者：
Xie L. [1 ]
Li Y. [1 ]
Luo L. [1 ]
Zeng X. [2 ]
Cao Y. [1 ]
机构：
[1] College of Electrical and Information Engineering, Hunan University, Changsha
[2] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 04期
关键词：
Complex network; Node betweenness; Spectral radius; Voltage over-limits; Vulnerable points identification;
D O I：
10.19783/j.cnki.pspc.210390
中图分类号：
学科分类号：
摘要：
There are shortcomings in the existing vulnerable points identification method for a power system, where the node characteristics, mutual influences of power transmission between nodes and the node voltage constraints are insufficiently considered. Thus a novel vulnerable point identification method based on a complex network combination and an operation index is proposed. First, from the analysis of power system topology, line parameters, power flow and operating parameters characters, a node degree index based on Laplacian spectral radius, node betweenness index and voltage over-limits index is established. Then, to obtain the combination index, which is applied to identify the vulnerable points for the power grid, the combination weighting method is used to assign complex network and operation indicator weightings. Finally, IEEE30 and IEEE118 bus systems are used to verify the proposed method's feasibility and rationality. The results show that compared with the reference method, the proposed method's identification results are more reasonable and have greater relevance for a power system. © 2022 Power System Protection and Control Press.
引用
收藏
页码：83 / 91
页数：8
相关论文
共 32 条
[11]  
TAO Hongfei, XIE Dong, ZHAO Fulin, Et al., Comprehensive identification of critical line in power systems with large-scale wind power integration, Power System Protection and Control, 48, 6, pp. 115-123, (2020)
[12]  
DING Ming, HAN Pingping, Vulnerability assessment to small-world power grid based on weighted topological model, Automation of Electric Power Systems, 30, 8, pp. 7-10, (2006)
[13]  
DING Ming, HAN Pingping, Vulnerability assessment to small-world power grid based on weighted topological model, Proceedings of the CSEE, 28, 10, pp. 20-25, (2008)
[14]  
CAO Yijia, CHEN Xiaogang, SUN Ke, Identification of vulnerable lines in power grid based on complex network theory, Electric Power Automation Equipment, 26, 12, pp. 1-5, (2006)
[15]  
XU Jingyou, CHEN Chong, LUO Chunjian, Et al., Identification of power grid key parts based on improved complex network model, Automation of Electric Power Systems, 40, 10, pp. 53-61, (2016)
[16]  
TAN Yudong, LI Xinran, CAI Ye, Et al., Critical node identification for complex power grid based on electrical distance, Proceedings of the CSEE, 34, 1, pp. 146-152, (2014)
[17]  
XU Lin, WANG Xiuli, WANG Xifan, Cascading failure mechanism in power grid based on electric betweenness and active defense, Proceedings of the CSEE, 30, 13, pp. 61-68, (2010)
[18]  
WANG Kai, ZHANG Buhan, ZHANG Zhe, Et al., An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load, Physica A: Statistical Mechanics and its Applications, 390, 23-24, pp. 4692-4701, (2011)
[19]  
CAO Yijia, WANG Guangzeng, CAO Lihua, Et al., An identification model for self-organized criticality of power grids based on power flow entropy, Automation of Electric Power Systems, 35, 7, pp. 1-6, (2011)
[20]  
LI Yong, LIU Junyong, LIU Xiaoyu, Et al., Vulnerability assessment in power grid cascading failures based on entropy of power flow, Automation of Electric Power Systems, 36, 19, pp. 11-16, (2012)
1234