Cascading failure analysis and restoration strategy in an interdependent network

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 ◽  
...  

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

Author(s):  
Haonan Ye ◽  
Xiao Luo

Analysis of the robustness and vulnerability of metro networks has great implications for public transport planning and emergency management, particularly considering passengers’ dynamic behaviors. This paper presents an improved coupled map lattices (CMLs) model based on graph attention networks (GAT) to study the cascading failure process of metro networks. The proposed model is applied to the Shanghai metro network using the automated fare collection (AFC) data, and the passengers’ dynamic behaviors are simulated by GAT. The quantitative cascading failure analysis shows that Shanghai metro network is robust to random attacks, but fragile to intentional attacks. Moreover, there is an approximately normal distribution between instant cascading failure speed and time step and the perturbation in a station which leads to steady state is approximately a constant. The result shows that a station surrounded by other densely distributed stations can trigger cascading failure faster and the cascading failure triggered by low-level accidents will spread in a short time and disappear quickly. This study provides an effective reference for dynamic safety evaluation and emergency management in metro networks.


2014 ◽  
Vol 63 (2) ◽  
pp. 028902
Author(s):  
Chen Shi-Ming ◽  
Zou Xiao-Qun ◽  
L Hui ◽  
Xu Qing-Gang

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