PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Chiaradonna S., Di Giandomenico F., Murru N. On a Modeling Approach to Analyze Resilience of a Smart Grid Infrastructure. In: EDCC 2014 - Tenth European Dependable Computing Conference (EDCC), 2014 (Newcastle upon Tyne - UK, 13-16 May 2014). Proceedings, pp. 166 - 177. IEEE, 2014.
 
 
Abstract
(English)
The evolution of electrical grids, both in terms of enhanced ICT functionalities to improve efficiency, reliability and economics, as well as the increasing penetration of renewable redistributed energy resources, results in a more sophisticated electrical infrastructure which poses new challenges from several perspectives, including resilience and quality of service analysis. In addition, the presence of interdependencies, which more and more characterize critical infrastructures (including the power sector), exacerbates the need for advanced analysis approaches, to be possibly employed since the early phases of the system design, to identify vulnerabilities and appropriate countermeasures. In this paper, we outline an approach to model and analyze smart grids and discuss the major challenges to be addressed in stochastic model-based analysis to account for the peculiarities of the involved system elements. Representation of dynamic and flexible behavior of generators and loads, as well as representation of the complex ICT control functions required to preserve and/or re-establish electrical equilibrium in presence of changes need to be faced to assess suitable indicators of the resilience and quality of service of the smart grid.
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84904620538&partnerID=q2rCbXpz
DOI: 10.1109/EDCC.2014.34
Subject Smart grids; stochastic modeling; resilience indicators; cyber-physical systems; critical infrastructures
C.4 PERFORMANCE OF SYSTEMS
I.6 SIMULATION AND MODELING


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional