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dc.contributor.authorMokryani, G
dc.contributor.authorHu, YF
dc.contributor.authorPillai, P
dc.contributor.authorRajamani, HS
dc.date.accessioned2019-07-01T12:24:59Z
dc.date.available2019-07-01T12:24:59Z
dc.date.issued2016-12-05
dc.identifier.citationMokryani, G., Hu, Y. F., Pillai, P. and Rajamani, H-S. (2016) Active distribution networks planning with high penetration of wind power, Renewable Energy, 104, pp. 40-49.en
dc.identifier.issn0960-1481en
dc.identifier.doi10.1016/j.renene.2016.12.007en
dc.identifier.urihttp://hdl.handle.net/2436/622498
dc.description.abstract© 2016 Elsevier Ltd In this paper, a stochastic method for active distribution networks planning within a distribution market environment considering multi-configuration of wind turbines is proposed. Multi-configuration multi-scenario market-based optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand and different operational status of wind turbines (multiple-wind turbine configurations). Scenario-based approach is used to model the abovementioned uncertainties. The method evaluates the impact of multiple-wind turbine configurations and active network management schemes on the amount of wind power that can be injected into the grid, the distribution locational marginal prices throughout the network and on the social welfare. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system. It was shown that multi-wind turbine configurations under active network management schemes, including coordinated voltage control and adaptive power factor control, can increase the amount of wind power that can be injected into the grid; therefore, the distribution locational marginal prices reduce throughout the network significantly.en
dc.description.sponsorshipThis work was supported in part by the SITARA project funded by British Council and the Department for Business, Innovation and Skills, UK and in part by the University of Bradford, UK under the CCIP grant 66052/000000.en
dc.formatapplication/PDFen
dc.languageen
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0960148116310576?via%3Dihuben
dc.subjectwind poweren
dc.subjectactive network managementen
dc.subjectsocial welfareen
dc.subjectmarket-based optimal power flowen
dc.subjectdistribution network operatorsen
dc.subjectdistribution locational marginal pricesen
dc.titleActive distribution networks planning with high penetration of wind poweren
dc.typeJournal articleen
dc.identifier.journalRenewable Energyen
dc.date.updated2019-06-20T17:35:31Z
dc.date.accepted2016-12-04
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW010719PPen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2019-07-01en
dc.source.volume104
dc.source.beginpage40
dc.source.endpage49
dc.description.versionPublished version
refterms.dateFCD2019-07-01T12:24:39Z
refterms.versionFCDAM
refterms.dateFOA2019-07-01T12:24:59Z


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