Show simple item record

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


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal