Cited by 527Electric Vehicles and InfrastructureOptimal Power Flow DistributionSmart Grid Energy Management

Impact of electric vehicles on power distribution networks

Putrus, G.A., Suwanapingkarl, P., Johnston, D., Bentley, E.C., Narayana, M.·2009·2009 IEEE Vehicle Power and Propulsion Conference

Abstract

The market for battery powered and plug-in hybrid electric vehicles is currently limited, but this is expected to grow rapidly with the increased concern about the environment and advances in technology. Due to their high energy capacity, mass deployment of electrical vehicles will have significant impact on power networks. This impact will dictate the design of the electric vehicle interface devices and the way future power networks will be designed and controlled. This paper presents the results of an analysis of the impact of electric vehicles on existing power distribution networks. Evaluation of supply/demand matching and potential violations of statutory voltage limits, power quality and imbalance are presented.

Integrity signals

Registry

Crossref · 10.1109/vppc.2009.5289760

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?

  • The fluctuating output patterns of single-phase DG and the irregularity of EV charging patterns aggravate voltage unbalance.

    “The fluctuating characteristic output patterns of single-phase DG and the irregularity of EV charging patterns [1,2] aggravated the voltage unbalance.”
  • 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].”
  • An increase of 10% in EV numbers has the potential to increase the peak load by 18% due to residential Level 1 AC uncontrolled charging.

    “In reference [63], a simulation-based study concluded that an increase of 10% in EV numbers has the potential to increase the peak load by 18% due to residential Level 1 AC uncontrolled charging.”

Cited by

Sorted by citations

Authors
Putrus, G. A., Suwanapingkarl, P., Johnston, D., Bentley, E. C., & Narayana, M.
Affiliations
Northumbria University (GB)
Venue
2009 IEEE Vehicle Power and Propulsion Conference
Publisher
IEEE
Published
2009-09
Pages
827-831
OpenAlex
W2159694944
Cited by
527
References
0
Citations by year
2026: 8 · 2025: 20 · 2024: 32 · 2023: 33 · 2022: 28 · 2021: 41 · 2020: 33 · 2019: 41 · 2018: 30 · 2017: 45 · 2016: 35 · 2015: 41 · 2014: 39 · 2013: 40 · 2012: 37
FWCI
28.25
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE Vehicle Power and Propulsion Conference (VPPC) (publishedVersion)
  • Northumbria Research Link (Northumbria University) (acceptedVersion)
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, power distribution networks, plug-in hybrid electric vehicles, battery electric vehicles, supply-demand matching, voltage constraints, power quality, load imbalance, power network design

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