Electric vehicle charging simulations on a real distribution network using real trial data

Research output: Contribution to conferencePaper

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.

Conference

Conference2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific
CountryKorea, Republic of
CityJeju
Period7/05/1910/05/19

Fingerprint

Electric vehicles
Electric power distribution
Ordnance
Information systems

Keywords

  • electric vehicles
  • domestic charging
  • Monte Carlo
  • geospatial modelling

Cite this

Dixon, J., Elders, I., & Bell, K. (2019). Electric vehicle charging simulations on a real distribution network using real trial data. Paper presented at 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific, Jeju, Korea, Republic of.
Dixon, James ; Elders, Ian ; Bell, Keith. / Electric vehicle charging simulations on a real distribution network using real trial data. Paper presented at 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific, Jeju, Korea, Republic of.7 p.
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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.",
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author = "James Dixon and Ian Elders and Keith Bell",
note = "{\circledC} 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.; 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific ; Conference date: 07-05-2019 Through 10-05-2019",
year = "2019",
month = "5",
day = "11",
language = "English",

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Dixon, J, Elders, I & Bell, K 2019, 'Electric vehicle charging simulations on a real distribution network using real trial data' Paper presented at 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific, Jeju, Korea, Republic of, 7/05/19 - 10/05/19, .

Electric vehicle charging simulations on a real distribution network using real trial data. / Dixon, James; Elders, Ian; Bell, Keith.

2019. Paper presented at 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific, Jeju, Korea, Republic of.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Electric vehicle charging simulations on a real distribution network using real trial data

AU - Dixon, James

AU - Elders, Ian

AU - Bell, Keith

N1 - © 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.

PY - 2019/5/11

Y1 - 2019/5/11

N2 - 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.

AB - 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.

KW - electric vehicles

KW - domestic charging

KW - Monte Carlo

KW - geospatial modelling

M3 - Paper

ER -

Dixon J, Elders I, Bell K. Electric vehicle charging simulations on a real distribution network using real trial data. 2019. Paper presented at 2019 IEEE Transportation Electrification Conference and Expo, Asia Pacific, Jeju, Korea, Republic of.