dc.contributor.author | Aaslid, Per | |
dc.contributor.author | Geth, Frederik | |
dc.contributor.author | Korpås, Magnus | |
dc.contributor.author | Belsnes, Michael Martin | |
dc.contributor.author | Fosso, Olav B | |
dc.date.accessioned | 2020-11-13T14:10:26Z | |
dc.date.available | 2020-11-13T14:10:26Z | |
dc.date.created | 2020-11-03T07:32:56Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Journal of Energy Storage. 2020, 32, . | en_US |
dc.identifier.issn | 2352-152X | |
dc.identifier.uri | https://hdl.handle.net/11250/2687867 | |
dc.description.abstract | Variable 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 Authors | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Non-linear charge-based battery storage optimization model with bi-variate cubic spline constraints | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 32 | en_US |
dc.source.journal | Journal of Energy Storage | en_US |
dc.source.issue | 101979 | en_US |
dc.identifier.doi | 10.1016/j.est.2020.101979 | |
dc.identifier.cristin | 1844336 | |
dc.relation.project | Norges forskningsråd: 272398 | en_US |
dc.description.localcode | This 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.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |