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dc.contributor.authorHussain, EK
dc.contributor.authorThies, PR
dc.contributor.authorHardwick, J
dc.contributor.authorConnor, PM
dc.contributor.authorAbusara, M
dc.date.accessioned2021-02-19T12:03:06Z
dc.date.issued2021-02-19
dc.description.abstractThis paper presents a methodology for the reliability and power flow analysis of islands or off-grid power networks for situations of scarce data and information. It offers a new and pragmatic approach to derive the required power network information, including the power cable parameters and the load at each power node. The paper aims to present the developed methodology, and to illustrate its application, using Ushant Island as a case study. The assessment of the current power network status and the reliability analysis are presented. Grid performance parameters are further compared for conventional diesel generator operation and renewable energy generation scenarios, demonstrating the advantages of replacing the existing diesel units with renewable energy sources in terms of system reliability. The analysis shows that by introducing renewable energy systems to the island’s grid, the reliability of the grid increases by up to 50% and cable capacity usage reduces by up to 30%. Furthermore, this work suggests that it would not be necessary to modify the grid cables when substituting the diesel generator. The paper will be of interest to network planners, community stakeholders, project developers and decision-makers concerned with renewable energy investment on islands and in remote rural areas.en_GB
dc.description.sponsorshipIntelligent Community Energy (ICE) projecten_GB
dc.identifier.citationVol. 8, article 584440en_GB
dc.identifier.doi10.3389/fenrg.2020.584440
dc.identifier.grantnumber5025en_GB
dc.identifier.urihttp://hdl.handle.net/10871/124816
dc.language.isoenen_GB
dc.publisherFrontiers Mediaen_GB
dc.rights© 2021 Hussain, Thies, Hardwick, Connor and Abusara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_GB
dc.subjectload flowen_GB
dc.subjectmicrogriden_GB
dc.subjectpower system planningen_GB
dc.subjectpower system reliabilityen_GB
dc.subjectrenewable energyen_GB
dc.titleGrid island energy transition scenarios assessment through network reliability and power flow analysisen_GB
dc.typeArticleen_GB
dc.date.available2021-02-19T12:03:06Z
dc.identifier.issn2296-598X
dc.descriptionThis is the final version. Available on open access from Frontiers Media via the DOI in this record. en_GB
dc.descriptionData Availability Statement: The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
dc.identifier.journalFrontiers in Energy Researchen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-12-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-02-19
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-02-19T11:40:52Z
refterms.versionFCDVoR
refterms.dateFOA2021-02-19T12:03:14Z
refterms.panelBen_GB


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© 2021 Hussain, Thies, Hardwick, Connor and Abusara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's licence is described as © 2021 Hussain, Thies, Hardwick, Connor and Abusara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.