The process of fault propagation and study the dynamic behavior in complex dynamical network is modelled in this paper. A fault resistance factor and a weight factor of repair probability are defined to denote the heterogeneity of nodes. The effects of the key model parameters on the fault propagation dynamics are studied by numerical simulations with reference to the number of failed nodes, the fraction of nodes in the largest network component and the fault propagation cycle. Moreover, the node vulnerability is explored for different communication radiuses. The results obtained in the study show that the fault propagation dynamics will be affected by some parameters, such as communication radius, node density and moving speed. Hence, we should limit these parameters within a certain ranges so as to limit the fault propagation and reduce the loss caused by it.

Modeling the dynamics of fault propagation in complex dynamical network by considering the heterogeneity of nodes

Zio, Enrico
2018-01-01

Abstract

The process of fault propagation and study the dynamic behavior in complex dynamical network is modelled in this paper. A fault resistance factor and a weight factor of repair probability are defined to denote the heterogeneity of nodes. The effects of the key model parameters on the fault propagation dynamics are studied by numerical simulations with reference to the number of failed nodes, the fraction of nodes in the largest network component and the fault propagation cycle. Moreover, the node vulnerability is explored for different communication radiuses. The results obtained in the study show that the fault propagation dynamics will be affected by some parameters, such as communication radius, node density and moving speed. Hence, we should limit these parameters within a certain ranges so as to limit the fault propagation and reduce the loss caused by it.
2018
2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
9781538614273
Complex dynamical network; Dynamics; Fault propagation; Heterogeneity; Modeling; Computer Networks and Communications; Electrical and Electronic Engineering; Control and Optimization; Energy Engineering and Power Technology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1077947
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