Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100624
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorZhang, Fen_US
dc.creatorXu, Zen_US
dc.creatorMeng, Ken_US
dc.date.accessioned2023-08-11T03:11:11Z-
dc.date.available2023-08-11T03:11:11Z-
dc.identifier.issn1751-8687en_US
dc.identifier.urihttp://hdl.handle.net/10397/100624-
dc.language.isoenen_US
dc.publisherInstitution of Engineering and Technologyen_US
dc.rights© The Institution of Engineering and Technology 2016en_US
dc.rightsThis paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission & Distribution and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.en_US
dc.titleOptimal sizing of substation-scale energy storage station considering seasonal variations in wind energyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage3241en_US
dc.identifier.epage3250en_US
dc.identifier.volume10en_US
dc.identifier.issue13en_US
dc.identifier.doi10.1049/iet-gtd.2016.0012en_US
dcterms.abstractThis study investigates an optimal sizing strategy for substation-scale energy storage station (ESS) that is installed at substations of transmission grids to provide services of both wind power fluctuation smoothing and power supply for peak load simultaneously. The proposed strategy first involves an optimal charging and discharging scheme enabling ESS to offer both services, considering particularly seasonal output variations of surrounding wind farms connected at the substation. Consequently, an optimisation model of ESS capacity is formulated to achieve trade-off between various costs and benefits involved in offering services by ESS. Case studies based on historical wind power data are conducted to validate the performance of the proposed method, and the simulation results demonstrate that this method can significantly reduce the ESS size and achieve promising benefits from power supply for peak load.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIET generation, transmission & distribution, Oct. 2016, v. 10, no. 13, p. 3241-3250en_US
dcterms.isPartOfIET generation, transmission & distributionen_US
dcterms.issued2016-10-
dc.identifier.scopus2-s2.0-84990030139-
dc.identifier.eissn1751-8695en_US
dc.description.validate202307 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEE-0640-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Faculty of Engineering and IT Early Career Researcher and Newly Appointed Staff Development Scheme 2016; Faculty of Engineering & Information Technologies, The University of Sydney, under the Faculty Research Cluster Programen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6683871-
dc.description.oaCategoryGreen (AAM)en_US
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