Key Factors Analysis of Cascading Failure Propagation in Power Grids

2018 ◽  
Author(s):  
Shaoqing Xi ◽  
Xuemin Zhang ◽  
Zhiyuan Ma ◽  
Xiaohui Qin
Keyword(s):  
Power Grids ◽  
Cascading Failure ◽  
Key Factors ◽  
Factors Analysis ◽  
Failure Propagation

scholarly journals Network isolators inhibit failure spreading in complex networks

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Franz Kaiser ◽  
Vito Latora ◽  
Dirk Witthaut
Keyword(s):  
Complex Networks ◽  
Large Scale ◽  
Power Transmission ◽  
Power Grids ◽  
Cascading Failure ◽  
Critical Infrastructures ◽  
Daily Lives ◽  
Supply Networks ◽  
Water Transmission ◽  
Complete Collapse

AbstractIn our daily lives, we rely on the proper functioning of supply networks, from power grids to water transmission systems. A single failure in these critical infrastructures can lead to a complete collapse through a cascading failure mechanism. Counteracting strategies are thus heavily sought after. In this article, we introduce a general framework to analyse the spreading of failures in complex networks and demostrate that not only decreasing but also increasing the connectivity of the network can be an effective method to contain damages. We rigorously prove the existence of certain subgraphs, called network isolators, that can completely inhibit any failure spreading, and we show how to create such isolators in synthetic and real-world networks. The addition of selected links can thus prevent large scale outages as demonstrated for power transmission grids.

Research on Combat Effectiveness Evaluation of Radar EW System Based on Bayesian Network

2011 ◽  
Vol 204-210 ◽  
pp. 1697-1700 ◽  
Author(s):  
Yu Jie Zheng
Keyword(s):  
Bayesian Network ◽  
Evaluation Model ◽  
Effectiveness Evaluation ◽  
Analysis Model ◽  
Key Factors ◽  
Bayesian Network Model ◽  
Simulation Data ◽  
Factors Analysis ◽  
Combat Effectiveness ◽  
Hidden Knowledge

Radar EW system combat effectiveness evaluation is a essential link to Radar system Demonstration, mainly give service to selection, optimization and key factors analysis of Weapon equipment scheme. In this paper, we introduce the Bayesian network model into the area of Radar EW system combat effectiveness evaluation and put forward the concept of combat effectiveness evaluation model based on Bayesian network. The ability to express complex relationship, the ability to express the uncertainty of probability, and the reasoning functions. By learning from Expertise and Simulation data, excavating the hidden knowledge included in both of them, we can build the combat efficiency Analysis model, and then carry out efficient analysis.

scholarly journals Probabilistic Vulnerability Assessment of Transmission Lines Considering Cascading Failures

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1994
Author(s):  
Yanchen Liu ◽  
Minfang Peng ◽  
Xingle Gao ◽  
Haiyan Zhang
Keyword(s):  
Transmission Lines ◽  
Large Scale ◽  
Failure Process ◽  
Power Grids ◽  
Weak Links ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Stable Operation ◽  
Chain Model ◽  
Systems Research

The prevention of cascading failures and large-scale power outages of power grids by identifying weak links has become one of the key topics in power systems research. In this paper, a vulnerability radius index is proposed to identify the initial fault, and a fault chain model of cascading failure is developed with probabilistic attributes to identify the set of fault chains that have a significant impact on the safe and stable operation of power grids. On this basis, a method for evaluating the vulnerability of transmission lines based on a multi-criteria decision analysis is proposed, which can quickly identify critical transmission lines in the process of cascading failure. Finally, the proposed model and method for identifying vulnerable lines during the cascading failure process is demonstrated on the IEEE-118 bus system.

scholarly journals Machine Learning Based on Bayes Networks to Predict the Cascading Failure Propagation

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 44815-44823 ◽  
Author(s):  
Renjian Pi ◽  
Ye Cai ◽  
Yong Li ◽  
Yijia Cao
Keyword(s):  
Machine Learning ◽  
Cascading Failure ◽  
Failure Propagation ◽  
Bayes Networks

scholarly journals Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2219 ◽  
Author(s):  
Upama Nakarmi ◽  
Mahshid Rahnamay Naeini ◽  
Md Jakir Hossain ◽  
Md Abul Hasnat
Keyword(s):  
Failure Analysis ◽  
Power Flow ◽  
Power Grid ◽  
Power Grids ◽  
Physical Models ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Essential Information ◽  
Interaction Graphs ◽  
Complex Interactions

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.

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