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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.382-397


Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition

Author(s):  Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG

Affiliation(s):  State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   11821132@zju.edu.cn, wcan@zju.edu.cn

Key Words:  Network robustness, Cascading failure, Average propagation, Algebraic connectivity, Power grid

Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG. Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(3): 382-397.

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author="Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition
%A Jiangzhe YAN
%A Jiayu LI
%A Deshi YE
%A Yong TANG
%A Yanhao HUANG
%J Frontiers of Information Technology & Electronic Engineering
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%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000596

T1 - Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition
A1 - Jiangzhe YAN
A1 - Jiayu LI
A1 - Deshi YE
A1 - Wei CHEN
A1 - Yong TANG
A1 - Yanhao HUANG
A1 - Can WANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
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EP - 397
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2000596

Analyzing network robustness under various circumstances is generally regarded as a challenging problem. Robustness against failure is one of the essential properties of large-scale dynamic network systems such as power grids, transportation systems, communication systems, and computer networks. Due to the network diversity and complexity, many topological features have been proposed to capture specific system properties. For power grids, a popular process for improving a network’s structural robustness is via the topology design. However, most of existing methods focus on localized network metrics, such as node connectivity and edge connectivity, which do not encompass a global perspective of cascading propagation in a power grid. In this paper, we use an informative global metric algebraic connectivity because it is sensitive to the connectedness in a broader spectrum of graphs. Our process involves decreasing the average propagation in a power grid by minimizing the increase in its algebraic connectivity. We propose a topology-based greedy strategy to optimize the robustness of the power grid. To evaluate the network robustness, we calculate the average propagation using MATCASC to simulate cascading line outages in power grids. Experimental results illustrate that our proposed method outperforms existing techniques.


Supaporn LONAPALAWONG1,颜姜哲2,李家雨3,叶德仕2,陈为1,汤涌4,黄彦浩4,王灿2


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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