In this paper, we extend the use of Cellular Automata (CA) to the problem of computing the availability of renewable network systems. This entails modelling the elements’ failure/repair dynamics. To this aim, CA are coupled with a Monte Carlo (MC) simulation model of the stochastic transport of the system states. In few qualitative words, several system life-histories are simulated by the MC approach and after each system stochastic transition, CA are used to check the connectedness between the source and the target nodes. Further, an approach is presented which allows extracting from the simulation and with no significant additional computational burden, the information regarding the importance of the elements with respect to the network availability.

A Combination of Monte Carlo Simulation and Cellular Automata for Computing the Availability of Complex Network Systems

ZIO, ENRICO;PODOFILLINI, LUCA;
2006

Abstract

In this paper, we extend the use of Cellular Automata (CA) to the problem of computing the availability of renewable network systems. This entails modelling the elements’ failure/repair dynamics. To this aim, CA are coupled with a Monte Carlo (MC) simulation model of the stochastic transport of the system states. In few qualitative words, several system life-histories are simulated by the MC approach and after each system stochastic transition, CA are used to check the connectedness between the source and the target nodes. Further, an approach is presented which allows extracting from the simulation and with no significant additional computational burden, the information regarding the importance of the elements with respect to the network availability.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/552941
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