Cited by 20Electric Vehicles and InfrastructureOptimal Power Flow DistributionSmart Grid Energy Management

Requirements on electrical power infrastructure by electric vehicles

Hable, Matthias, Schwaegerl, Christine, Tao, Liang, Ettinger, Andreas, Koberle, Robert, Meyer, Ernst-Peter·2010·2010 Emobility - Electrical Power Train

Abstract

With an increasing number of electric vehicles in operation new requirements on the electrical power networks will occur. Currently these networks are designed to supply on average a typical household load of around 2 kW. If electric vehicles will be connected then this household load might, depending on simultaneity of charging process and charging power, increase to more than 10 kW causing overloading of elements such as lines. On the other hand the storage capacity of the car battery allows providing new services to the networks, like balancing power for increasing shares of stochastically variable generation by renewable energy sources. This paper presents the results of an investigation within the medium and low voltage networks operated by Allgüer Überlandwerk GmbH in the southern part of Germany. The considered network is characterized by a high portion of distributed generation, especially stochastically variable photovoltaic power plants. The region is characterized by a high portion of commuters to a near city. The investigation shows how many electric cars can be integrated in an existing network depending on different locations and charging strategies. It also demonstrates the interaction between electric vehicles and stochastically varying generation. Basic guidelines for control strategies are derived. Yearly measured profiles of the loads as well as the generation from wind and solar power plants form the basis for the calculations. Stochastic load flow calcula…

Integrity signals

Registry

Crossref · 10.1109/emobility.2010.5668076

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In the low-voltage grid, if residential EV charging coincides with high electricity demand from other household loads, the total demand can cause issues related to thermal capacity or voltage regulations.

    “In the low-voltage grid, if the residential charging of EVs coincides with high electricity demand from other household loads, there is a risk that the total demand can cause issues related to thermal capacity or voltage regulations in electricity distribution systems [12,13].”

Cited by

Sorted by citations

Authors
Hable, M., Schwaegerl, C., Tao, L., Ettinger, A., Koberle, R., & Meyer, E.-P.
Affiliations
Siemens (Germany) (DE)
Venue
2010 Emobility - Electrical Power Train
Publisher
IEEE
Published
2010-11
Pages
1-6
OpenAlex
W1995076271
Cited by
20
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 5 · 2022: 1 · 2021: 2 · 2015: 2 · 2014: 1 · 2013: 2 · 2012: 2
FWCI
2.18
Type
conference paper
Language
en
Open access
closed
Locations
Emobility - Electrical Power Train (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
Keywords
electric vehicles, vehicle-to-grid, grid integration, photovoltaic power plants, stochastic generation, charging strategies, grid overload, battery energy storage, renewable energy integration, electricity profile, critical situations

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review