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dc.contributor.authorSasan, Pirouzi
dc.contributor.authorAghaei, Jamshid
dc.contributor.authorNiknam, Taher
dc.contributor.authorFarahmand, Hossein
dc.contributor.authorKorpås, Magnus
dc.date.accessioned2018-02-26T09:58:33Z
dc.date.available2018-02-26T09:58:33Z
dc.date.created2018-02-16T00:45:11Z
dc.date.issued2018
dc.identifier.citationIET Generation, Transmission & Distribution. 2018, 12 (4), 967-975.nb_NO
dc.identifier.issn1751-8687
dc.identifier.urihttp://hdl.handle.net/11250/2486905
dc.description.abstractThis study proposes combined framework for proactive operation, i.e. bidirectional active and reactive power management, of the smart distribution network as well as harmonic compensation of non-linear loads using electric vehicles (EVs) equipped with bidirectional chargers. The problem is in the form of non-linear programming (NLP) where the objective function is to minimise the voltage deviation at the fundamental frequency and the total harmonic distortion. The harmonic load flow equations, EVs constraints, system operation and harmonic indexes limits are formulated as problem constraints. The proposed NLP problem is converted to an equivalent mixed integer linear programming (MILP) model using Taylor series and linearisation techniques for AC power flow formulation. Also, the Benders decomposition (BD) algorithm is used to solve the proposed MILP problem that is tested on different distribution test networks to demonstrate its efficiency and performance. The results show that the NLP model can be substituted with the high-speed linear programming model. Moreover, the computation speed is improved by using the BD method. Finally, the network and harmonic indexes improved and charging cost reduced using the proposed idea.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.titleProactive operation of electric vehicles in harmonic polluted smart distribution networksnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber967-975nb_NO
dc.source.volume12nb_NO
dc.source.journalIET Generation, Transmission & Distributionnb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.1049/iet-gtd.2017.0875 ,
dc.identifier.cristin1565771
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,20,0
cristin.unitnameInstitutt for elkraftteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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