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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
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        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://library.oapen.org/handle/20.500.12657/49308
        Keywords
        electrical distribution network, resilience metrics, interdependence, outage recovery, vulnerability
        DOI
        10.5772/intechopen.85917
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2019
        Classification
        Structural engineering
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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