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dc.contributor.authorAaslid, Per
dc.contributor.authorGeth, Frederik
dc.contributor.authorKorpås, Magnus
dc.contributor.authorBelsnes, Michael Martin
dc.contributor.authorFosso, Olav B
dc.date.accessioned2020-11-13T14:10:26Z
dc.date.available2020-11-13T14:10:26Z
dc.date.created2020-11-03T07:32:56Z
dc.date.issued2020
dc.identifier.citationJournal of Energy Storage. 2020, 32, .en_US
dc.identifier.issn2352-152X
dc.identifier.urihttps://hdl.handle.net/11250/2687867
dc.description.abstractVariable renewable generation demands increasing amount of flexible resources to balance the electric power system, and batteries stand out as a promising alternative. Battery models for optimization typically represent the battery with power and energy variables, while the voltage, current, charge variable space is used for simulation models. This paper proposes a non-linear battery storage optimization model in the voltage, current, charge variable space. The battery voltage is conceived as an empirical function of both state-of-charge and charge current and represented through bi-variate cubic splines. The voltage source converter losses are also approximated with a cubic spline function. Compared to energy-based storage models, the results show that this approach enables safe operation closer to the battery voltage and current limits. Furthermore, it prefers operating around high state-of-charge due to the higher efficiency in that region. © 2020 The Authorsen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleNon-linear charge-based battery storage optimization model with bi-variate cubic spline constraintsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume32en_US
dc.source.journalJournal of Energy Storageen_US
dc.source.issue101979en_US
dc.identifier.doi10.1016/j.est.2020.101979
dc.identifier.cristin1844336
dc.relation.projectNorges forskningsråd: 272398en_US
dc.description.localcodeThis is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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