Interdependent Network Cascading Failure Analysis Based on Load Distribution and Node Backup Strategy

Author(s):  
Huan Li ◽  
Lifu Wang ◽  
Zhijie Sun ◽  
Xiaona Wang
2016 ◽  
Vol 49 (19) ◽  
pp. 195101 ◽  
Author(s):  
Sheng Hong ◽  
Chuan Lv ◽  
Tingdi Zhao ◽  
Baoqing Wang ◽  
Jianghui Wang ◽  
...  

2021 ◽  
Author(s):  
Wenjie Kang ◽  
Qiang Liu ◽  
Peidong Zhu ◽  
Wei Zhao ◽  
Xuchong Liu ◽  
...  

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 769
Author(s):  
Dong Mu ◽  
Xiongping Yue ◽  
Huanyu Ren

A cyber-physical supply network is composed of an undirected cyber supply network and a directed physical supply network. Such interdependence among firms increases efficiency but creates more vulnerabilities. The adverse effects of any failure can be amplified and propagated throughout the network. This paper aimed at investigating the robustness of the cyber-physical supply network against cascading failures. Considering that the cascading failure is triggered by overloading in the cyber supply network and is provoked by underload in the physical supply network, a realistic cascading model for cyber-physical supply networks is proposed. We conducted a numerical simulation under cyber node and physical node failure with varying parameters. The simulation results demonstrated that there are critical thresholds for both firm’s capacities, which can determine whether capacity expansion is helpful; there is also a cascade window for network load distribution, which can determine the cascading failures occurrence and scale. Our work may be beneficial for developing cascade control and defense strategies in cyber-physical supply networks.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Haiyan Han ◽  
Rennong Yang

Many real-world systems can be depicted as interdependent networks and they usually show an obvious property of asymmetry. Furthermore, node or edge failure can trigger load redistribution which leads to a cascade of failure in the whole network. In order to deeply investigate the load-induced cascading failure, firstly, an asymmetrical model of interdependent network consisting of a hierarchical weighted network and a WS small-world network is constructed. Secondly, an improved “load-capacity” model is applied for node failure and edge failure, respectively, followed by a series of simulations of cascading failure over networks in both interdependent and isolated statuses. The simulation results prove that the robustness in isolated network changes more promptly than that in the interdependent one. Network robustness is positively related to “capacity,” but negatively related to “load.” The hierarchical weight structure in the subnetwork leads to a “plateau” phenomenon in the progress of cascading failure.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2219 ◽  
Author(s):  
Upama Nakarmi ◽  
Mahshid Rahnamay Naeini ◽  
Md Jakir Hossain ◽  
Md Abul Hasnat

Understanding and analyzing cascading failures in power grids have been the focus of many researchers for years. However, the complex interactions among the large number of components in these systems and their contributions to cascading failures are not yet completely understood. Therefore, various techniques have been developed and used to model and analyze the underlying interactions among the components of the power grid with respect to cascading failures. Such methods are important to reveal the essential information that may not be readily available from power system physical models and topologies. In general, the influences and interactions among the components of the system may occur both locally and at distance due to the physics of electricity governing the power flow dynamics as well as other functional and cyber dependencies among the components of the system. To infer and capture such interactions, data-driven approaches or techniques based on the physics of electricity have been used to develop graph-based models of interactions among the components of the power grid. In this survey, various methods of developing interaction graphs as well as studies on the reliability and cascading failure analysis of power grids using these graphs have been reviewed.


2016 ◽  
Vol 442 ◽  
pp. 239-251 ◽  
Author(s):  
Hai-Peng Ren ◽  
Jihong Song ◽  
Rong Yang ◽  
Murilo S. Baptista ◽  
Celso Grebogi

2016 ◽  
Vol 31 (6) ◽  
pp. 4887-4900 ◽  
Author(s):  
Janusz Bialek ◽  
Emanuele Ciapessoni ◽  
Diego Cirio ◽  
Eduardo Cotilla-Sanchez ◽  
Chris Dent ◽  
...  

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