A holistic review of electric vehicle charging impacts on power distribution networks : Technical challenges, smart mitigation strategies and future directions

dc.contributor.authorAhmed, Fahim
dc.contributor.authorAhmad, Shameem
dc.contributor.authorRahman, Mir Toufikur
dc.contributor.authorHazari, Md. Rifat
dc.contributor.authorFaiz, Rethwan
dc.contributor.authorAhmed, Tofael
dc.contributor.authorKarimi, Mazaher
dc.contributor.departmentVebic
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|
dc.date.accessioned2025-11-10T13:44:43Z
dc.date.issued2025-10-30
dc.description.abstractElectric Vehicles (EVs) have emerged as a pivotal solution in the global transition toward sustainable transportation, offering significant reductions in greenhouse gas emissions and dependence on fossil fuels. The growing adoption of EVs is anticipated to significantly influence electrical power distribution networks. As EV adoption accelerates worldwide, their integration into existing electrical distribution networks poses considerable challenges, particularly concerning load demand, voltage stability. Recent research has increasingly focused on understanding and mitigating these impacts, through a wide array of analytical, simulation-based, and data-driven methods both with and without the implementation of network management strategies. However, a comprehensive, integrated synthesis of these studies linking technical findings with mitigation strategies and practical implications is still limited. Additionally, there is a lack of a thorough review consolidating the existing research on this subject, which is essential for understanding the scope of prior studies. Motivated by this gap, this review paper provides a critical and consolidated examination of the current literature on the impacts of EV on distribution networks. The paper's objective is to assess the comprehensive effects of EV integration and evaluate mitigation strategies across three core domains: network management, EV and Distributed generation (DG) coordination, and regulated charging solutions. The paper also introduces the role of artificial intelligence in enabling predictive, adaptive, and scalable solutions. It highlights key methodologies, data sources, modeling approaches, and the efficacy of various solutions while identifying prevailing research gaps and future directions, including real-time co-simulation, techno-economic assessments, and hybrid planning frameworks. Key outcomes of this study include a unified framework for understanding EV interactions with the grid and distribution network, a comparative analysis of mitigation approaches, and a set of recommendations for advancing research and deployment strategies. These findings aim to inform stakeholders about the latest advancements and support decision-making. The findings are particularly beneficial for utility providers, network planners, policymakers, charging infrastructure developers, and researchers seeking to develop robust, data-informed strategies for managing EV impacts and guide them in addressing unresolved challenges.
dc.description.notification© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|
dc.format.contentfi=kokoteksti|en=fulltext|
dc.format.extent25
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/19181
dc.identifier.urnURN:NBN:fi-fe20251110106624
dc.language.isoeng
dc.publisherElsevier
dc.relation.doi10.1016/j.apenergy.2025.126961
dc.relation.funderNordic Energy Research
dc.relation.grantnumberBest4Grid – Vehicle battery storage for green transport and grid stability in the Nordics
dc.relation.ispartofjournalApplied energy
dc.relation.issn1872-9118
dc.relation.issn0306-2619
dc.relation.issuePart B
dc.relation.urlhttps://doi.org/10.1016/j.apenergy.2025.126961
dc.relation.volume402
dc.rightsCC BY 4.0
dc.subjectElectric vehicles; EV charging; Load demand; Voltage stability; Hosting capacity; Thermal capacity; Network management; AI for EV charging
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|
dc.titleA holistic review of electric vehicle charging impacts on power distribution networks : Technical challenges, smart mitigation strategies and future directions
dc.type.okmfi=A2 Katsausartikkeli tieteellisessä aikakauslehdessä|en=A2 Peer-reviewed review article|sv=A2 Översiktsartikel i en vetenskaplig tidskrift|
dc.type.publicationarticle
dc.type.versionpublishedVersion

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
Osuva_Ahmed_Ahmad_Rahman_Hazari_Faiz_Ahmed_Karimi_2025.pdf
Size:
4.86 MB
Format:
Adobe Portable Document Format

Kokoelmat