Cascading failure propagation in interconnected networks with tunable load redistribution strategy

Author(s):  
Sheng Hong ◽  
Baoqing Wang ◽  
Jianghui Wang
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 44815-44823 ◽  
Author(s):  
Renjian Pi ◽  
Ye Cai ◽  
Yong Li ◽  
Yijia Cao

2008 ◽  
Vol 372 (36) ◽  
pp. 5778-5782 ◽  
Author(s):  
Z.J. Bao ◽  
Y.J. Cao ◽  
L.J. Ding ◽  
Z.X. Han ◽  
G.Z. Wang

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xiue Gao ◽  
Duoping Zhang ◽  
Keqiu Li ◽  
Bo Chen

Cascading failures in the command and control networks (C2 networks) could substantially affect the network invulnerability to some extent. In particular, without considering the characteristics of hierarchy structure, it is quite misleading to employ the existing cascading failure models and effectively analyze the invulnerability of C2 networks. Therefore, a novel cascading failure model for command and control networks with hierarchy structure is proposed in this paper. Firstly, a method of defining the node’s initial load in C2 networks based on hierarchy-degree is proposed. By applying the method, the impact of organizational positions and the degree of the node on its initial load could be highlighted. Secondly, a nonuniform adjustable load redistribution strategy (NALR strategy) is put forward in this paper. More specifically, adjusting the redistribution coefficient could allocate the load from failure nodes to the higher and the same level neighboring nodes according to different proportions. It could be demonstrated by simulation results that the robustness of C2 networks against cascading failures could be dramatically improved by adjusting the initial load adjustment coefficient, the tolerance parameter, and the load redistribution coefficient. And finally, comparisons with other relational models are provided to verify the rationality and effectiveness of the model proposed in this paper. Subsequently, the invulnerability of C2 networks could be enhanced.


2005 ◽  
Vol 19 (4) ◽  
pp. 475-488 ◽  
Author(s):  
Ian Dobson ◽  
Benjamin A. Carreras ◽  
Vickie E. Lynch ◽  
Bertrand Nkei ◽  
David E. Newman

We compare and test statistical estimates of failure propagation in data from versions of a probabilistic model of loading-dependent cascading failure and a power system blackout model of cascading transmission line overloads. The comparisons suggest mechanisms affecting failure propagation and are an initial step toward monitoring failure propagation from practical system data. Approximations to the probabilistic model describe the forms of probability distribution of cascade sizes.


2018 ◽  
Vol 8 (7) ◽  
pp. 1033 ◽  
Author(s):  
Guidong Zhang ◽  
Samson Yu ◽  
Siyuan Zou ◽  
Herbert Iu ◽  
Tyrone Fernando ◽  
...  

2017 ◽  
Vol 481 ◽  
pp. 160-166 ◽  
Author(s):  
Yueyi Hou ◽  
Xiaoyun Xing ◽  
Menghui Li ◽  
An Zeng ◽  
Yougui Wang

2009 ◽  
Vol 42 (5) ◽  
pp. 209-214 ◽  
Author(s):  
A. Bobbio ◽  
D. Codetta-Raiteri ◽  
S. Montani ◽  
L. Portinale

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