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dc.rights.licenseopenen_US
dc.contributor.authorNDAWULA, Mike
dc.contributor.authorDJOKIC, Sasa
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.date.accessioned2023-04-19T09:41:53Z
dc.date.available2023-04-19T09:41:53Z
dc.date.issued2019-02-07
dc.identifier.issn1996-1073en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/173098
dc.description.abstractEnThis paper presents an integrated approach for assessing the impact that distributed energy resources (DERs), including intermittent photovoltaic (PV) generation, might have on the reliability performance of power networks. A test distribution system, based on a typical urban MV and LV networks in the UK, is modelled and used to investigate potential benefits of the local renewable generation, demand-manageable loads and coordinated energy storage. The conventional Monte Carlo method is modified to include time-variation of electricity demand profiles and failure rates of network components. Additionally, a theoretical interruption model is employed to assess more accurately the moment in time when interruptions to electricity customers are likely to occur. Accordingly, the impact of the spatio-temporal variation of DERs on reliability performance is quantified in terms of the effect of network outages. The potential benefits from smart grid functionalities are assessed through both system-and customer-oriented reliability indices, with special attention to energy not supplied to customers, as well as frequency and duration of supply interruptions. The paper also discusses deployment of an intelligent energy management system to control local energy generation-storage-demand resources that can resolve uncertainties in renewable-based generation and ensure highly reliable and continuous supply to all connected customers.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.endemand profiles
dc.subject.endemand response
dc.subject.endistributed (PV) generation
dc.subject.enenergy storage
dc.subject.enfailure rate
dc.subject.enMonte Carlo simulation
dc.subject.ennetwork reliability
dc.subject.enrenewable resources
dc.title.enReliability Enhancement in Power Networks under Uncertainty from Distributed Energy Resources
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/en12030531en_US
dc.subject.halSciences de l'environnement/Ingénierie de l'environnementen_US
dc.subject.halSciences de l'ingénieur [physics]/Automatique / Robotiqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Electromagnétismeen_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Energie électriqueen_US
bordeaux.journalEnergiesen_US
bordeaux.page531en_US
bordeaux.volume12en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-02353852
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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