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Probabilistic Modelling of EV Charging Impact on the Sub-transmission Grid

Jansson, Alice LU ; Samuelsson, Olof LU and Marquez-Fernandez, Francisco J. LU orcid (2024) 2024 International Conference on Renewable Energies and Smart Technologies, REST 2024 In 2024 International Conference on Renewable Energies and Smart Technologies, REST 2024
Abstract

Transport electrification in Sweden is moving at a fast pace. Grid impact studies from EVs predominantly consider low-voltage grids. However, as the share of electric cars is rapidly increasing, potential grid impact at higher voltage levels needs to be considered. This paper presents a probabilistic approach to generate aggregated charging profiles for home charging at a sub-transmission grid level. The charging profiles are based on the best available data for the study area of Skåne in southern Sweden. The study shows how charging behaviour considerably impacts the height and time of the daily peak loading from home charging. The results from the probabilistic load flow simulation show how aggregated home charging at low voltage... (More)

Transport electrification in Sweden is moving at a fast pace. Grid impact studies from EVs predominantly consider low-voltage grids. However, as the share of electric cars is rapidly increasing, potential grid impact at higher voltage levels needs to be considered. This paper presents a probabilistic approach to generate aggregated charging profiles for home charging at a sub-transmission grid level. The charging profiles are based on the best available data for the study area of Skåne in southern Sweden. The study shows how charging behaviour considerably impacts the height and time of the daily peak loading from home charging. The results from the probabilistic load flow simulation show how aggregated home charging at low voltage levels will in some cases affect the sub-transmission grid, with an average increase of substation loading of up to 72%. 11 out of 85 substations do not have enough capacity to feed the simulated home charging.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Electric vehicle, EV charging, Grid impact, Load profile, Probabilistic load flow
host publication
2024 International Conference on Renewable Energies and Smart Technologies, REST 2024
series title
2024 International Conference on Renewable Energies and Smart Technologies, REST 2024
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2024 International Conference on Renewable Energies and Smart Technologies, REST 2024
conference location
Prishtina, Barbados
conference dates
2024-06-27 - 2024-06-28
external identifiers
  • scopus:85203803898
ISBN
9798350358902
DOI
10.1109/REST59987.2024.10645382
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 IEEE.
id
6bd528d4-739f-4fff-9abd-3a7084803bf2
date added to LUP
2024-09-29 17:53:07
date last changed
2025-04-04 14:49:03
@inproceedings{6bd528d4-739f-4fff-9abd-3a7084803bf2,
  abstract     = {{<p>Transport electrification in Sweden is moving at a fast pace. Grid impact studies from EVs predominantly consider low-voltage grids. However, as the share of electric cars is rapidly increasing, potential grid impact at higher voltage levels needs to be considered. This paper presents a probabilistic approach to generate aggregated charging profiles for home charging at a sub-transmission grid level. The charging profiles are based on the best available data for the study area of Skåne in southern Sweden. The study shows how charging behaviour considerably impacts the height and time of the daily peak loading from home charging. The results from the probabilistic load flow simulation show how aggregated home charging at low voltage levels will in some cases affect the sub-transmission grid, with an average increase of substation loading of up to 72%. 11 out of 85 substations do not have enough capacity to feed the simulated home charging.</p>}},
  author       = {{Jansson, Alice and Samuelsson, Olof and Marquez-Fernandez, Francisco J.}},
  booktitle    = {{2024 International Conference on Renewable Energies and Smart Technologies, REST 2024}},
  isbn         = {{9798350358902}},
  keywords     = {{Electric vehicle; EV charging; Grid impact; Load profile; Probabilistic load flow}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2024 International Conference on Renewable Energies and Smart Technologies, REST 2024}},
  title        = {{Probabilistic Modelling of EV Charging Impact on the Sub-transmission Grid}},
  url          = {{http://dx.doi.org/10.1109/REST59987.2024.10645382}},
  doi          = {{10.1109/REST59987.2024.10645382}},
  year         = {{2024}},
}