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dc.rights.licenseopenen_US
dc.contributor.authorELLERY, Maximilian
dc.contributor.authorNDAWULA, Mike Brian
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.date.accessioned2023-04-21T13:03:40Z
dc.date.available2023-04-21T13:03:40Z
dc.date.issued2019-09-26
dc.date.conference2019-09-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/173148
dc.description.abstractEnThis paper analyses the effect of new smart grid technologies (SGTs) on the reliability indices typically specified by distribution network operators in low-voltage rural distribution systems. Rural areas generally denoted as “thinlypopulated”, are to a large extent neglected in the anticipated transformation of existing networks into the future smart grid. An innovative Monte Carlo simulation technique is refined in this analysis to model the stochastic failure rates of power components over a specific time period, which are then applied to network load flow analysis to assess the quality of supply enhancement of a modelled rural distribution network. The proposed method enables much faster and more refined reliability studies, allowing for larger data sets to capture the inherent uncertainty from the new SGTs. Simulation results providing base case reliability indices, and the addition of SGTs accumulated from models in previous works, provide scenarios used for comparison into SGT-effectiveness.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.subject.enmonte carlo simulation
dc.subject.enreliability performance
dc.subject.enrenewable resources
dc.subject.enrural distribution network
dc.subject.ensmart grid
dc.title.enReliability Enhancement of LV Rural Networks using Smart Grid Technologies
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.1109/SEST.2019.8849045en_US
dc.subject.halSciences de l'ingénieur [physics]/Energie électriqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Electromagnétismeen_US
dc.subject.halSciences de l'ingénieur [physics]/Automatique / Robotiqueen_US
dc.subject.halSciences de l'environnement/Ingénierie de l'environnementen_US
bordeaux.page1-5en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title2019 International Conference on Smart Energy Systems and Technologies (SEST)en_US
bordeaux.countrypten_US
bordeaux.title.proceeding2019 International Conference on Smart Energy Systems and Technologies (SEST)en_US
bordeaux.conference.cityPortoen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-02353475
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019-09-26&rft.spage=1-5&rft.epage=1-5&rft.au=ELLERY,%20Maximilian&NDAWULA,%20Mike%20Brian&HERNANDO%20GIL,%20Ignacio&rft.genre=proceeding


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