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dc.contributor.authorSanjari, MJ
dc.contributor.authorKarami, H
dc.date.accessioned2020-10-08T04:23:56Z
dc.date.available2020-10-08T04:23:56Z
dc.date.issued2020
dc.identifier.issn2352-152Xen_US
dc.identifier.doi10.1016/j.est.2020.101328en_US
dc.identifier.urihttp://hdl.handle.net/10072/398230
dc.description.abstractThis paper presents an analytical approach for the optimal operation of battery-integrated energy systems (BIES). Energy profile sectionalizing, achieved through the offline studies, is proposed in this paper as a framework for optimal energy dispatch in BIES, and an online strategy is then explained to control the energy system optimally. In this paper, a general framework of the battery control is addressed with considering battery characteristics and system electricity tariffs to make the proposed method applicable to real cases. Applying the proposed method to BIES shows great advantages in optimal battery scheduling as it guarantees to achieve the global optimal operation of the battery considering its actual parameters compared to the previous studies focusing on the use of optimization methods whose outputs are near-optimal solutions. Real load profile and electricity prices are used to test the proposed approach through a developed code in MATLAB software. The results show that the cost of the energy system and calculation burden of achieving optimal results are decreased compared with using the genetic algorithm (GA) and harmony search algorithm (HSA).en_US
dc.description.peerreviewedYesen_US
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom101328en_US
dc.relation.ispartofjournalJournal of Energy Storageen_US
dc.relation.ispartofvolume29en_US
dc.subject.fieldofresearchEngineeringen_US
dc.subject.fieldofresearchcode09en_US
dc.titleAnalytical approach to online optimal control strategy of energy storage devices in energy systemen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationSanjari, MJ; Karami, H, Analytical approach to online optimal control strategy of energy storage devices in energy system, Journal of Energy Storage, 2020, 29, pp. 101328en_US
dc.date.updated2020-10-08T04:21:43Z
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.en_US
gro.hasfulltextNo Full Text
gro.griffith.authorSanjari, Mohammad


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