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2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (2017)
Exeter, Devon, United Kingdom
June 21, 2017 to June 23, 2017
ISBN: 978-1-5386-3066-2
pp: 324-329
ABSTRACT
The shape of Critical Infrastructures (CIs) has changed drastically in recent years, leading them to become interconnected systems with complex interactions. This will be especially true for future power grids, known as "Smart Grids". In such complex systems, one of the main challenges consists in understanding the possible impact of failures on the overall system, and avoiding cascading or escalading effects. In this paper we present an extensible framework for the analysis of failures propagation in power networks, based on model templates developed using the Stochastic Activity Networks formalism. The approach is applied to a case study of a power network, derived from a real system. The obtained results demonstrate the effectiveness of the approach in assessing the impact of failures on the network, both when considering random failures and when performing what-if analyses on specific nodes.
INDEX TERMS
critical infrastructures, failure analysis, large-scale systems, power system interconnection, smart power grids, stochastic processes
CITATION

L. Montecchi, P. Lollini and A. Ceccarelli, "Assessing the Impact of Cascading Failures in Urban Electricity Networks," 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)(iThings-GreenCom-CPSCom-SmartData), Exeter, Devon, United Kingdom, 2018, pp. 324-329.
doi:10.1109/iThings-GreenCom-CPSCom-SmartData.2017.54
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