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Modelling cascading failure of a CPS for topological resilience enhancement
by
Yang, Zejun
, Chen, Ying
, Marti, Jose
in
33-node communication system
/ Adaptation
/ B0170N Reliability
/ B0250 Combinatorial mathematics
/ B0260 Optimisation techniques
/ B6150P Communication network design, planning and routing
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ Back up systems
/ C1160 Combinatorial mathematics
/ Communication networks
/ Communications networks
/ Communications systems
/ coupled system
/ CPS
/ critical infrastructures
/ cyber-physical system
/ Decision making
/ Disasters
/ distributed power generation
/ distribution networks
/ emergency management
/ Failure
/ Failure analysis
/ failure mechanism
/ Failure mechanisms
/ graph theory
/ IEEE standards
/ Infrastructure
/ interdependent electrical distribution
/ modelling cascading failure
/ network theory (graphs)
/ optimisation
/ percolation
/ Percolation theory
/ Power supply
/ power system
/ Propagation
/ Recovery
/ recovery abilities
/ Remote control
/ Resilience
/ Shortest-path problems
/ standard IEEE 33‐bus system
/ telecommunication network reliability
/ telecommunication network topology
/ Topology
/ TR enhancement
2020
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Modelling cascading failure of a CPS for topological resilience enhancement
by
Yang, Zejun
, Chen, Ying
, Marti, Jose
in
33-node communication system
/ Adaptation
/ B0170N Reliability
/ B0250 Combinatorial mathematics
/ B0260 Optimisation techniques
/ B6150P Communication network design, planning and routing
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ Back up systems
/ C1160 Combinatorial mathematics
/ Communication networks
/ Communications networks
/ Communications systems
/ coupled system
/ CPS
/ critical infrastructures
/ cyber-physical system
/ Decision making
/ Disasters
/ distributed power generation
/ distribution networks
/ emergency management
/ Failure
/ Failure analysis
/ failure mechanism
/ Failure mechanisms
/ graph theory
/ IEEE standards
/ Infrastructure
/ interdependent electrical distribution
/ modelling cascading failure
/ network theory (graphs)
/ optimisation
/ percolation
/ Percolation theory
/ Power supply
/ power system
/ Propagation
/ Recovery
/ recovery abilities
/ Remote control
/ Resilience
/ Shortest-path problems
/ standard IEEE 33‐bus system
/ telecommunication network reliability
/ telecommunication network topology
/ Topology
/ TR enhancement
2020
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Modelling cascading failure of a CPS for topological resilience enhancement
by
Yang, Zejun
, Chen, Ying
, Marti, Jose
in
33-node communication system
/ Adaptation
/ B0170N Reliability
/ B0250 Combinatorial mathematics
/ B0260 Optimisation techniques
/ B6150P Communication network design, planning and routing
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ Back up systems
/ C1160 Combinatorial mathematics
/ Communication networks
/ Communications networks
/ Communications systems
/ coupled system
/ CPS
/ critical infrastructures
/ cyber-physical system
/ Decision making
/ Disasters
/ distributed power generation
/ distribution networks
/ emergency management
/ Failure
/ Failure analysis
/ failure mechanism
/ Failure mechanisms
/ graph theory
/ IEEE standards
/ Infrastructure
/ interdependent electrical distribution
/ modelling cascading failure
/ network theory (graphs)
/ optimisation
/ percolation
/ Percolation theory
/ Power supply
/ power system
/ Propagation
/ Recovery
/ recovery abilities
/ Remote control
/ Resilience
/ Shortest-path problems
/ standard IEEE 33‐bus system
/ telecommunication network reliability
/ telecommunication network topology
/ Topology
/ TR enhancement
2020
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Modelling cascading failure of a CPS for topological resilience enhancement
Journal Article
Modelling cascading failure of a CPS for topological resilience enhancement
2020
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Overview
This study focuses on the cyber‐physical system (CPS) consisting of interdependent electrical distribution and communication networks, where the two networks are mutually dependent. A small disturbance in either of them can trigger a cascade of faults within the entire network. To investigate the failure mechanism, first, two features that affect topological resilience (TR) are defined in this study: adaptation and recovery abilities. Second, the authors model the process of cascading failures that occur in this coupled system by introducing and developing the infrastructure interdependencies simulator. The process of cascading failures is based on percolation theory, and they present a detailed analysis of cascading failure in a standard IEEE 33‐bus system coupled with the 33‐node communication system. This study proves that the adaptation ability of a coupled system is even lower than a single system. This is due to the interdependencies between systems, and the study of the failure mechanisms helps planers to make a better decision in the recovery process. Finally, the modified shortest path search is used to optimise the repair sequence. Their numerical results validate that the recovery ability of the coupled system is increased through the optimisation, which contributes to the TR enhancement.
Publisher
The Institution of Engineering and Technology,John Wiley & Sons, Inc,Wiley
Subject
/ B0250 Combinatorial mathematics
/ B0260 Optimisation techniques
/ B6150P Communication network design, planning and routing
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ C1160 Combinatorial mathematics
/ CPS
/ distributed power generation
/ Failure
/ interdependent electrical distribution
/ Recovery
/ telecommunication network reliability
/ telecommunication network topology
/ Topology
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