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dc.rights.licenseopenen_US
dc.contributor.authorNDAWULA, Mike Brian
dc.contributor.authorPAOLA, Antonio De
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.date.accessioned2023-04-24T09:10:10Z
dc.date.available2023-04-24T09:10:10Z
dc.date.issued2019-06
dc.date.conference2019-06-23
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/173161
dc.description.abstractEnThe valuation of whether network operators meet users’ expectations in ensuring a continuous supply to their premises is important in determining their willingness-to-pay (WTP) for electricity. Distributed resources such as photovoltaic (PV) systems will dominate future networks, and thuscustomers’ WTP will vary dynamically, both spatially and temporally. Whereas system-wide indices are typically used to assess network performance, there is a requirement to complement these with customer-based indices to accurately quantify the risk of outages to affected and worst-served customers. This paper presents an enhanced Monte Carlo simulation technique, which performs reliability assessment of a typical MV/LV urban distribution network. Two smart grid scenarios considering controllability of PV and energy storage (ES) are designed to improve network performance. Customerbased reliability indices, measuring the frequency and duration of interruptions, and energy not supplied are thoroughly assessed. Results demonstrate the potential of hybrid PV-ES in reducing power supply risk for worst-served customers.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.subject.enenergy not supplied
dc.subject.enenergy storage
dc.subject.enmonte carlo simulation
dc.subject.enreliability indices
dc.subject.enwillingness-to-pay
dc.title.enEvaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1109/PTC.2019.8810753en_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.page1-6en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title2019 IEEE Milan PowerTechen_US
bordeaux.countryiten_US
bordeaux.title.proceeding2019 IEEE Milan PowerTechen_US
bordeaux.conference.cityMilanen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-02353460
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=2019-06&rft.spage=1-6&rft.epage=1-6&rft.au=NDAWULA,%20Mike%20Brian&PAOLA,%20Antonio%20De&HERNANDO%20GIL,%20Ignacio&rft.genre=unknown


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