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dc.contributor.authorBerg, Kjersti
dc.contributor.authorHjelkrem, Odd Andre
dc.contributor.authorTorsæter, Bendik Nybakk
dc.date.accessioned2020-10-24T09:22:27Z
dc.date.available2020-10-24T09:22:27Z
dc.date.created2020-10-15T15:22:29Z
dc.date.issued2020
dc.identifier.citation2020 17th International Conference on the European Energy Market - EEMen_US
dc.identifier.isbn978-1-7281-6919-4
dc.identifier.issn2165-4093
dc.identifier.urihttps://hdl.handle.net/11250/2684863
dc.description.abstractThe number of electric vehicles (EV) is increasing rapidly, and it is not yet sure how the grid infrastructure will be built, and how this will affect the power system. One option for charging EVs is a dynamic wireless power transfer (DWPT) system, where EVs can charge while driving. This paper presents a methodology for modelling the load from an electric road with a DWPT system and the load from households in an area. A case study for a specific highway section in Norway is also conducted, illustrating the methodology for one substation. The case study shows that the peak loads from the households and the electric road occur at different times both during the year and day. In year 2050, the peak load from the electric road could reach over 6 MW, based on numbers from the Norwegian National Transport Plan. The results from this paper will be of aid in long-term grid planning when considering electric roads in areas with existing load, hence ensuring a socio-economic planning and operation of the power system.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 17th International Conference on the European Energy Market - EEM
dc.relation.ispartofseriesInternational Conference on the European Energy Market;2020
dc.titleA proposed methodology for modelling the combined load of electric roads and households for long-term grid planningen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderIEEEen_US
dc.identifier.doi10.1109/EEM49802.2020.9221888
dc.identifier.cristin1839886
dc.relation.projectNorges forskningsråd: 295133en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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