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dc.contributor.authorPollino, Maurizio
dc.contributor.authorTofani, Alberto
dc.contributor.authorDi Pietro, Antonio
dc.contributor.authorLa Porta, Luigi
dc.contributor.authorGiovinazzi, Sonia
dc.contributor.authorParmendola, Giacomo
dc.contributor.authorRosato, Vittorio
dc.contributor.authorD'Agostino, Gregorio
dc.date.accessioned2021-06-02T10:11:52Z
dc.date.available2021-06-02T10:11:52Z
dc.date.issued2019
dc.identifierONIX_20210602_10.5772/intechopen.85917_422
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/49308
dc.description.abstractElectrical 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineeringen_US
dc.subject.otherelectrical distribution network, resilience metrics, interdependence, outage recovery, vulnerability
dc.titleChapter Modeling Resilience in Electrical Distribution Networks
dc.typechapter
oapen.identifier.doi10.5772/intechopen.85917
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByFP7-SEC-2012-1
oapen.grant.number312450
oapen.grant.acronymCIPRNET


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