The DOI matches its Crossref record.
Electric vehicle charging and grid constraints: Comparing distributed and centralized approaches
Abstract
The expected rise of electric vehicles will lead to significant additional demand on low voltage (LV) distribution systems. Uncontrolled charging could lead to problems such as thermal overload of transformers and lines, voltage deviation, harmonics, and phase unbalance. We propose two electric vehicle charging algorithms, one centralized and one distributed, and compare their performance in simulations that use real vehicle data, on a model based on a real LV network in northern Melbourne, Australia. Our experiments confirm that the locations of the vehicles in the network are an important factor in predicting adverse effects. Furthermore, our coordinated charging solutions allow penetrations of electric vehicles approximately 3-6 times higher than is possible using uncoordinated charging, in our network.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
Model-based real grids can study the impact of low carbon technologies on a specific area or neighborhood, but this approach limits the representative character of the case studies.
“These grids can be used to study the impact of low carbon technologies on a specific area or neighborhood, however this approach limits the representative character of the case studies.”
From Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids (2019) · cites this paper as [16]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 8
- carter, 2012, Impacts of harmonic distortion from charging electric vehicles on low voltage networks, Electric Vehicle Symposium 26
- 10.1109/ISGT.2012.6175685 · DOI
- ganu, 2012, Nplug: A smart plug for alleviating peak loads, Proc of the 3rd International Conference on Future Energy Systems
- 10.1109/TPWRS.2011.2158247 · DOI · Paper page
- 10.1109/TPWRS.2009.2036481 · DOI · Paper page
- 10.1109/PES.2010.5589940 · DOI · Paper page
- 10.1109/JPROC.2010.2066250 · DOI · Paper page
- paevere, 0, Spatial Modelling of Electric Vehicle Charging Demand and Impacts on Peak Household Electrical Load in Victoria Australia
Cited by
Sorted by citations
Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids
Spitzer, M., Schlund, J., Apostolaki-Iosifidou, E., & Pruckner, M. (2019) · Energies · doi:10.3390/en12214059 · Cited by 52
Metadata
- Authors
- de Hoog, J., Thomas, D. A., Muenzel, V., Jayasuriya, D. C., Alpcan, T., Brazil, M., & Mareels, I.
- Affiliations
- The University of Melbourne (AU)
- Venue
- 2013 IEEE Power & Energy Society General Meeting
- Publisher
- IEEE
- Published
- 2013
- Pages
- 1-5
- ISSN
- 1932-5517 (ISSN-L)
- OpenAlex
- W1990136486
- Cited by
- 57
- References
- 0
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 7 · 2022: 4 · 2021: 5 · 2020: 5 · 2019: 6 · 2018: 2 · 2017: 3 · 2016: 5 · 2015: 2 · 2014: 8 · 2013: 3
- FWCI
- 7.31
- 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 › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Keywords
- electric vehicle charging, coordinated charging, low-voltage distribution networks, voltage deviation, harmonics, phase imbalance, EV penetration
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
