Danish electric vehicle charging profiles for distribution grid planning and design

The adoption of electric vehicles (EVs) is accelerating in recent years. It is to be expected that all low power EV chargers (EVCs) will be connected to the distribution grid. The charging of EVs will considerably change the consumption patterns of residential consumers. For grid planning and design, distribution system operators need to take these new consumption patterns into consideration. This work presents a methodology to create plausible worst-case EVC profiles based on a large dataset of real charging data from 3, 547 EVCs. The resulting profiles show that EVC peak consumption presents seasonal and weekly patterns. While an aggregation of 100 EVCs has a night peak consumption of 3.5 kW per EVC on a workday in winter, in the summer it is replaced by a weekend-early-afternoon peak with a consumption of 2.5 kW per EVC. One of the main contributions of this work is the publicly available representative EVC profiles for different charger sizes, seasons, weekdays and percentiles.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.2040
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Danish electric vehicle charging profiles for distribution grid planning and design

Tilman Weckesser, Malthe Thingvad, Charalampos Ziras, Ghaffar Yousefi et al.
1 citations
IET conference proceedings.
Electric Vehicles and Infrastructure
article

Danish electric vehicle charging profiles for distribution grid planning and design

Tilman Weckesser, Malthe Thingvad, Charalampos Ziras, Ghaffar Yousefi, Jonathan Henius Odgaard
article en
1 citations

Abstract

The adoption of electric vehicles (EVs) is accelerating in recent years. It is to be expected that all low power EV chargers (EVCs) will be connected to the distribution grid. The charging of EVs will considerably change the consumption patterns of residential consumers. For grid planning and design, distribution system operators need to take these new consumption patterns into consideration. This work presents a methodology to create plausible worst-case EVC profiles based on a large dataset of real charging data from 3, 547 EVCs. The resulting profiles show that EVC peak consumption presents seasonal and weekly patterns. While an aggregation of 100 EVCs has a night peak consumption of 3.5 kW per EVC on a workday in winter, in the summer it is replaced by a weekend-early-afternoon peak with a consumption of 2.5 kW per EVC. One of the main contributions of this work is the publicly available representative EVC profiles for different charger sizes, seasons, weekdays and percentiles.

IET conference proceedings.Vol. 2024(5)
Technical University of Denmark (DK)
Sustainable cities and communities
Openalex Percentile: Top 100%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Danish electric vehicle charging profiles for distribution grid planning and design — Tilman Weckesser, Malthe Thingvad, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS