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A New Link Isolation Algorithm based on Complex Network Theory for Preventing Cascading Failures in Power Grid

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DOI: 10.23977/jeis.2021.61008 | Downloads: 14 | Views: 939


Jinhang Lin 1, Yijia Zhang 1, Xinling Guo 1, Jiayin Chen 1


1 Information Institute, Zhejiang Sci-Tech University, China

Corresponding Author

Yijia Zhang


Weak links is one of the main causes of large-scale blackouts in power systems. How to accurately identify the weakest links so as to disconnect the links that could cause cascading failures when an accident happens to a power system, is a vital research topic for keeping power system safety by preventing large-scale blackouts caused by cascading failures. In this paper, based on complex network theory we first propose a method to identify the weakest links according to vertices second order centrality and links joint vulnerability metric by combining link betweenness and link load level, which is called joint vulnerability method (JVM). Based on JVM, we design a links isolation algorithm when a weakest link failure happens to a power system, which is called joint isolation algorithm (JIA). The simulation results show that JVM could identify the weakest links accurately, and the JIA could avoid large-scale blackouts effectively which plays a guiding role in the optimization of power system safety.


Power Grid, Complex Network, Links Isolation, Vulnerability


Jinhang Lin, Yijia Zhang, Xinling Guo, Jiayin Chen. A New Link Isolation Algorithm based on Complex Network Theory for Preventing Cascading Failures in Power Grid. Journal of Electronics and Information Science (2021) 6: 47-55. DOI:


[1] Albert R, Albert I, Nakarado G L. Structural vulnerability of the North American power grid [J]. Physical review E, 2004, 69(2): 025103.
[2] Atputharajah A, Saha T K. Power system blackouts-literature review [C]//2009 International Conference on Industrial and Information Systems (ICIIS). IEEE, 2009: 460-465.
[3] Romero J J. Blackouts illuminate India's power problems [J]. IEEE spectrum, 2012, 49(10): 11-12.
[4] Zidan A, Khairalla M, Abdrabou A M, et al. Fault detection, isolation, and service restoration in distribution systems: State-of-the-art and future trends [J]. IEEE Transactions on Smart Grid, 2016, 8(5): 2170-2185.
[5] Najy W K A, Zeineldin H H, Alaboudy A H K, et al. A Bayesian passive islanding detection method for inverter-based distributed generation using ESPRIT [J]. IEEE Transactions on Power Delivery, 2011, 26(4): 2687-2696.
[6] Ding L, Gonzalez-Longatt F M, Wall P, et al. Two-step spectral clustering controlled islanding algorithm [J]. IEEE Transactions on Power Systems, 2012, 28(1): 75-84.
[7] Khamis A, Shareef H, Bizkevelci E, et al. A review of islanding detection techniques for renewable distributed generation systems [J]. Renewable and sustainable energy reviews, 2013, 28: 483-493.
[8] Li C, Cao C, Cao Y, et al. A review of islanding detection methods for microgrid [J]. Renewable and Sustainable Energy Reviews, 2014, 35: 211-220.
[9] Guo X L, Lu Z M, Li H. The Invulnerability of Traffic Networks under New Attack Strategies [J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2017, 100(10): 2106-2112.
[10] Kermarrec A. M., Merrer E. L., Sericola B., and Trédan G.. Second Order Centrality: Distributed Assessment of Nodes Criticity in Complex Networks [J]. Computer Communications, 2011, 34: 619-628.
[11] Taflove A, Umashankar K R. The finite-difference time-domain method for numerical modeling of electromagnetic wave interactions [J]. Electromagnetics, 1990, 10(1-2): 105-126.
[12] Georgiou O, Wang S, Bocus M Z, et al. Directional antennas improve the link-connectivity of interference limited ad hoc networks [C]//2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2015: 1311-1316.
[13] Igarashi Y, Takenaka H, Nakanishi-Ohno Y, et al. Exhaustive search for sparse variable selection in linear regression [J]. Journal of the Physical Society of Japan, 2018, 87(4): 044802.
[14] Bao Haibo, Wei Hua. Calculation of Probabilistic Optimal Power Flow of Power System Containing Large-scale Wind Farms Based on Unscented Transformation [J]. Automation of Electric Power Systems, 2014, 38(12): 46-53.

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