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.

Assessing the Impact of Cascading Failures in Urban Electricity Networks / Montecchi, Leonardo; Lollini, Paolo; Ceccarelli, Andrea. - ELETTRONICO. - (2017), pp. 324-329. (Intervento presentato al convegno 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) tenutosi a Exeter, UK nel 21-23 June 2017) [10.1109/iThings-GreenCom-CPSCom-SmartData.2017.54].

Assessing the Impact of Cascading Failures in Urban Electricity Networks

Montecchi, Leonardo;Lollini, Paolo
;
Ceccarelli, Andrea
2017

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.
2017
Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
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)
Exeter, UK
21-23 June 2017
Montecchi, Leonardo; Lollini, Paolo; Ceccarelli, Andrea
File in questo prodotto:
File Dimensione Formato  
PID4793471.pdf

Accesso chiuso

Descrizione: camera-ready
Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 659.9 kB
Formato Adobe PDF
659.9 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1118574
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact