Cited by 21Electric Vehicles and InfrastructureOptimal Power Flow DistributionElectric Power System Optimization

Planning of electric vehicle charging infrastructure

Dharmakeerthi, C. H., Mithulananthan, N., Saha, T. K.·2013·2013 IEEE Power & Energy Society General Meeting

Abstract

The Electric Vehicle (EV) has become the sustainable alternative to fossil fuel driven automobiles. As a result, a new type of load is being seen on power systems. Hence, provision of an EV charging infrastructure has become a new challenge for power system engineers worldwide. It has been identified that the voltage dependent nature of EV load may lead to voltage instabilities in the system. Furthermore, significant load integration into the distribution system may overload the system components, increase power system losses and may violate system constraints. Despite these factors EV consumers should be provided with convenient and reliable charging facilities. Hence, the identification of a charging infrastructure which satisfies requirements of both the EV customer and the power system is of primary importance. A particle swarm optimization (PSO) based approach is considered here for planning of EV charging infrastructure.

Integrity signals

Registry

Crossref · 10.1109/pesmg.2013.6672085

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?

Cited by

Sorted by citations

Authors
Dharmakeerthi, C. H., Mithulananthan, N., & Saha, T. K.
Affiliations
The University of Queensland (AU)
Venue
2013 IEEE Power & Energy Society General Meeting
Publisher
IEEE
Published
2013
Pages
1-5
ISSN
1932-5517 (ISSN-L)
OpenAlex
W2129591744
Cited by
21
References
0
Citations by year
2026: 2 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 3 · 2017: 2 · 2016: 2 · 2014: 2 · 2013: 1
FWCI
2.03
Type
conference paper
Language
en
Open access
closed
Locations
IEEE Power Engineering Society General Meeting (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 › Electric Power System Optimization
Keywords
electric vehicle charging infrastructure, charging station siting and sizing, particle swarm optimization, voltage instability, power system losses, power system planning

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