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            Chapter Modeling Resilience in Electrical Distribution Networks

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            Author(s)
            Pollino, Maurizio
            Tofani, Alberto
            Di Pietro, Antonio
            La Porta, Luigi
            Giovinazzi, Sonia
            Parmendola, Giacomo
            Rosato, Vittorio
            D'Agostino, Gregorio
            Language
            English
            Show full item record
            Abstract
            Electrical distribution networks deliver a fundamental service to citizens. However, they are still highly vulnerable to natural hazards as well as to cyberattacks; therefore, additional commitment and investments are needed to foster their resilience. Toward that, this paper presents and proposes the use of a complex simulation model, called reconfiguration simulator (RecSIM), enabling to evaluate the effectiveness of resilience enhancement strategies for electric distribution networks and the required resources to implement them. The focus is, in particular, on one specific attribute of resilience, namely, the readiness, i.e., the promptness and efficiency to recover the service functionality after a crisis event by managing and deploying the available resources rapidly and effectively. RecSIM allows estimating how and to what extent technological, topological, and management issues might improve electrical distribution networks’ functionality after the occurrence of accidental faults, accounting for interdependency issues and reconfiguration possibilities. The viability of implementing RecSIM on a real and large urban network is showcased in the paper with reference to the study case of the electrical distribution network (EDN) of Rome city.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/170850
            Keywords
            electrical distribution network, resilience metrics, interdependence, outage recovery, vulnerability; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineering
            DOI
            10.5772/intechopen.85917
            Publisher
            InTechOpen
            Publication date and place
            2019
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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