Afficher la notice abrégée

Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks

dc.rights.licenseopenen_US
dc.contributor.authorKISUULE, Mikka
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.contributor.authorSERUGUNDA, Jonathan
dc.contributor.authorNAMAGANDA-KIYIMBA, Jane
dc.contributor.authorNDAWULA, Mike Brian
dc.date.accessioned2023-04-05T08:21:33Z
dc.date.available2023-04-05T08:21:33Z
dc.date.issued2021-09
dc.identifier.issn2071-1050en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172759
dc.description.abstractEnElectricity-distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational constraints on distribution-network reliability by incorporating component lifetime models, time-varying component failure rates, as well as the monetary cost of customer interruptions in an all-inclusive probabilistic methodology that applies a time-sequential Monte Carlo simulation. A test distribution network based on the Roy Billinton test system was modelled to investigate the system performance when overloading limits are exceeded as well as when preventive maintenance is performed. Standard reliability indices measuring the frequency and duration of interruptions and the energy not supplied were complemented with a novel monetary reliability index. The comprehensive assessment includes not only average indices but also their probability distributions to adequately describe the risk of customer interruptions. Results demonstrate the effectiveness of this holistic approach, as the impacts of operational decisions are assessed from both reliability and monetary perspectives. This informs network planning decisions through optimum investments and consideration of customer outage costs.
dc.language.isoENen_US
dc.subject.encomponent lifetime models
dc.subject.enMonte Carlo simulation
dc.subject.ennetwork reliability
dc.subject.enoverloading violations
dc.subject.enpreventive maintenance
dc.subject.enrisk assessment
dc.subject.entime-varying failure rates
dc.title.enStochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/su13179579en_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.journalSustainabilityen_US
bordeaux.page9579en_US
bordeaux.volume13en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue17en_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-03482370
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.jtitle=Sustainability&rft.date=2021-09&rft.volume=13&rft.issue=17&rft.spage=9579&rft.epage=9579&rft.eissn=2071-1050&rft.issn=2071-1050&rft.au=KISUULE,%20Mikka&HERNANDO%20GIL,%20Ignacio&SERUGUNDA,%20Jonathan&NAMAGANDA-KIYIMBA,%20Jane&NDAWULA,%20Mike%20Brian&rft.genre=article


Fichier(s) constituant ce document

Thumbnail
Nom:
sustainability-13-09579-v2.pdf
Taille:
4.371Mo
Format:
PDF
Voir/Ouvrir

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée