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dc.contributor.authorHaugen, Eirik
dc.contributor.authorBerg, Kjersti
dc.contributor.authorTorsæter, Bendik Nybakk
dc.contributor.authorKorpås, Magnus
dc.date.accessioned2021-10-28T07:34:02Z
dc.date.available2021-10-28T07:34:02Z
dc.date.created2021-08-09T14:21:43Z
dc.date.issued2021
dc.identifier.isbn978-1-6654-3597-0
dc.identifier.urihttps://hdl.handle.net/11250/2826158
dc.description.abstractThe electrification of the energy sector challenges the conventional methods to meet the increased load demand. The rapid increase of electric vehicles and the desire for shorter charging time at fast charging stations (FCS) contributes to higher power peaks in local distribution grids. This may lead to capacity issues, where a battery storage can be considered as an alternative to reinforcing the grid. This paper proposes a novel optimisation model including degradation that minimises operational costs for an actual FCS in Norway with a battery system. A case study is performed, where installing a battery system is compared to traditional grid reinforcement. The result of the case study shows that the total cost was 0.9 million NOK 1 higher for installing a BESS than reinforcing the grid, which corresponds to 44 % of the battery investment cost. Sensitivity analyses are done on time step, grid tariffs and degradation. The sensitivity analysis on degradation shows that calendar aging dominates battery degradation.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2021 IEEE Madrid PowerTech
dc.titleOptimisation model with degradation for a battery energy storage system at an EV fast charging stationen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.identifier.doi10.1109/PowerTech46648.2021.9494979
dc.identifier.cristin1924794
dc.relation.projectNorges forskningsråd: 295133en_US
dc.relation.projectNorges forskningsråd: 269420en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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