Electric vehicle charging simulations on a real distribution network using real trial data
Dixon, James and Elders, Ian and Bell, Keith (2019) Electric vehicle charging simulations on a real distribution network using real trial data. In: 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific, 2019-05-07 - 2019-05-10, International Convention Centre.
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Abstract
This paper presents the development of models of a real distribution network from Geographical Information System (GIS) data provided by the Distribution Network Operator (DNO) of an area that is likely to see significant electric vehicle (EV) uptake. Using UK Census data with building analysis from Ordnance Survey datasets, likely existing domestic load profiles and likely locations of EV charge points are established. 12 months of data from the 215-vehicle My Electric Avenue EV trial are used to simulate the temporal variation of EV charging for various levels of EV uptake and power flow studies are run to examine the probable impact of EV uptake on a real distribution network in a suburban residential area in Scotland. It is shown that several parts of the network are expected to be faced with severe issues when 70% of vehicles in the area are replaced by EVs. The method presented is general and can be applied to any distribution system for which data is obtained to provide valuable insight as to the network issues that are likely to arise as a result of the uptake of EVs.
ORCID iDs
Dixon, James ORCID: https://orcid.org/0000-0001-8930-805X, Elders, Ian ORCID: https://orcid.org/0000-0002-6060-9235 and Bell, Keith ORCID: https://orcid.org/0000-0001-9612-7345;-
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Item type: Conference or Workshop Item(Paper) ID code: 68888 Dates: DateEvent11 May 2019Published7 April 2019AcceptedNotes: © 2019 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. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 17 Jul 2019 12:03 Last modified: 22 Oct 2024 00:36 URI: https://strathprints.strath.ac.uk/id/eprint/68888