Review of electric vehicles integration impacts in distribution networks: Placement, charging/discharging strategies, objectives and optimisation models
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Most previous studies using clustering techniques such as k-means, decision tree-based clustering, self-organising maps, and hierarchical clustering do not explore how such clusters can be directly used by DSOs, nor address the challenge of scalability for future large-scale EV deployment.
“While techniques such as k-means, decision tree-based clustering, self-organising maps, and hierarchical clustering have been used in previous studies [2], [3], most do not explore how such clusters can be directly used by DSOs, nor address the challenge of scalability for future large-scale EV deployment.”
From Optimal Coordination of Local Flexibility from Electric Vehicles with Social Impact Consideration (2025) · cites this paper as [2]
Integration of renewable energy sources and transport electrification introduces new challenges for distribution networks, which must accommodate increasingly large and dynamic patterns of energy production and consumption.
“However, these transformations introduce new challenges for distribution networks, which must accommodate increasingly large and dynamic patterns of energy production and consumption [2].”
From Optimal Coordination of Local Flexibility from Electric Vehicles with Social Impact Consideration (2025) · cites this paper as [2]
Cites
Net emission reductions from electric cars and heat pumps in 59 world regions over time
Knobloch, F., Hanssen, S. V., Lam, A., Pollitt, H., Salas, P., Chewpreecha, U., Huijbregts, M. A. J., & Mercure, J.-F. (2020) · Nature Sustainability · doi:10.1038/s41893-020-0488-7 · Cited by 407 · see citing works
Khalid, M. R., Alam, M. S., Sarwar, A., & Jamil Asghar, M. S. (2019) · eTransportation · doi:10.1016/j.etran.2019.100006 · Cited by 369 · see citing works
Optimal placement of electric vehicle charging stations in the active distribution network
Zeb, M. Z., Imran, K., Khattak, A., Janjua, A. K., Pal, A., Nadeem, M., Zhang, J., & Khan, S. (2020) · IEEE Access · doi:10.1109/access.2020.2984127 · Cited by 263 · see citing works
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Optimal Coordination of Local Flexibility from Electric Vehicles with Social Impact Consideration
Chen, S., Couraud, B., Norbu, S., Andoni, M., Iqbal, Z., Djokic, S., Kirli, D., Kanugrahan, S. P., Cherubini, P., Krumdieck, S., et al. (2025) · 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) · doi:10.1109/isgteurope64741.2025.11305513
“…techniques such as k-means, decision tree-based clustering, self-organising maps, and hierarchical clustering have been used in previous studies [2], [3], most do not explore how such clusters can be directly used by grid operators, nor address the challenge of scalability for future…”
- Authors
- Ray, S., Kasturi, K., Patnaik, S., & Nayak, M. R.
- Affiliations
- Siksha O Anusandhan University (IN)
- Odisha University of Technology and Research (IN)
- Biju Patnaik University of Technology (IN)
- Corresponding author
- Kasturi, Kumari
- Venue
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 72
- Pages
- 108672
- ISSN
- 2352-152X (ISSN-L)
- OpenAlex
- W4385872219
- Cited by
- 118
- References
- 3
- Citations by year
- 2026: 21 · 2025: 40 · 2024: 50 · 2023: 7
- FWCI
- 8.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Energy Storage (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, electric vehicle charging stations, distribution networks, charging station location, distributed energy storage, optimization model, economic and environmental impact
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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.
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