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Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

dc.rights.licenseopenen_US
dc.contributor.authorFANG, D.
dc.contributor.authorZOU, M.
dc.contributor.authorHARRISON, G.
dc.contributor.authorDJOKIC, S.
dc.contributor.authorNDAWULA, M.
dc.contributor.authorXU, X.
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.contributor.authorGUNDA, J.
dc.date.accessioned2023-04-11T13:55:15Z
dc.date.available2023-04-11T13:55:15Z
dc.date.issued2020-09-01
dc.date.conference2020-08-18
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172950
dc.description.abstractEnThis paper evaluates deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for wind-based distributed generation (DG). The presented methodology considers variations of demands and DG power outputs, as well as dynamic thermal ratings (DTR) of network components. Deterministic approaches are based on a limited number of scenarios with minimum and maximum demands and DTR limits, while probabilistic approaches use simultaneous hourly values of all input parameters. The presented methodology has three stages. First, locational HC (LHC) of individual buses is calculated assuming connection of a single DG unit in the considered network. Afterwards, the LHC results are used to calculate network HC (NHC), assuming that DG units are connected at all network buses. Finally, busto-bus LHC-sensitivity factors are used to determine LHC and NHC for any number of DG units connected at arbitrary network buses.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.subject.enDeterministic and scenario-based analysis
dc.subject.endistributed generation
dc.subject.endynamic thermal rating
dc.subject.enfirm and non-firm capacity
dc.subject.enhosting capacity
dc.subject.enprobabilistic analysis
dc.subject.enrenewables
dc.subject.enwind energy
dc.title.enDeterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.1109/PMAPS47429.2020.9183525en_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.page1-6en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)en_US
bordeaux.countrybeen_US
bordeaux.title.proceeding2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)en_US
bordeaux.conference.cityLiegeen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-02966932
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=2020-09-01&rft.spage=1-6&rft.epage=1-6&rft.au=FANG,%20D.&ZOU,%20M.&HARRISON,%20G.&DJOKIC,%20S.&NDAWULA,%20M.&rft.genre=proceeding


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