Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22493
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dc.contributor.authorZdraveski, V.en_US
dc.contributor.authorKrstevski, P.en_US
dc.contributor.authorVuletic, J.en_US
dc.contributor.authorAngelov, J.en_US
dc.contributor.authorMateska, A. Krkolevaen_US
dc.contributor.authorTodorovski, M.en_US
dc.date.accessioned2022-08-23T10:02:22Z-
dc.date.available2022-08-23T10:02:22Z-
dc.date.issued2019-07-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22493-
dc.description.abstractAs the penetration of electric vehicles (EV) and plug in hybrid electric vehicles (PHEV) increases, the requirement of the charging infrastructure will have an impact on the distribution network parameters and components, especially with the growth of sale of such vehicles. In order to estimate this impact, probabilistic load flow method based on Monte-Carlo simulation has been developed. The variables that depend on the vehicles driving cycle have been obtained with data extraction from the 2017 National Household Travel Survey (NHTS). In addition, general household load has also been considered in the simulation. Simulation results show which network components could not withstand the simulated penetration level and what measures can be taken.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectElectric vehicles (EV), Monte Carlo simulation, Plug in hybrid electric vehicles (PHEV)en_US
dc.titleAnalyzing the Impact of Battery Electric Vehicles on Distribution Networks Using Nondeterministic Modelen_US
dc.typeProceeding articleen_US
dc.relation.conferenceIEEE EUROCON 2019 -18th International Conference on Smart Technologiesen_US
dc.identifier.doi10.1109/eurocon.2019.8861984-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/8852488/8861510/08861984.pdf?arnumber=8861984-
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers
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