Cited by 306Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric and Hybrid Vehicle Technologies

Electric Vehicle-to-Grid (V2G) Technologies: Impact on the Power Grid and Battery

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Mojumder, Md. Rayid Hasan, Ahmed Antara, Fahmida, Hasanuzzaman, Md., Alamri, Basem, Alsharef, Mohammad·2022·Sustainability

Abstract

The gradual shift towards cleaner and green energy sources requires the application of electric vehicles (EVs) as the mainstream transportation platform. The application of vehicle-to-grid (V2G) shows promise in optimizing the power demand, shaping the load variation, and increasing the sustainability of smart grids. However, no comprehensive paper has been compiled regarding the of operation of V2G and types, current ratings and types of EV in sells market, policies relevant to V2G and business model, and the implementation difficulties and current procedures used to cope with problems. This work better represents the current challenges and prospects in V2G implementation worldwide and highlights the research gap across the V2G domain. The research starts with the opportunities of V2G and required policies and business models adopted in recent years, followed by an overview of the V2G technology; then, the challenges associated with V2G on the power grid and vehicle batteries; and finally, their possible solutions. This investigation highlighted a few significant challenges, which involve a lack of a concrete V2G business model, lack of stakeholders and government incentives, the excessive burden on EV batteries during V2G, the deficiency of proper bidirectional battery charger units and standards and test beds, the injection of harmonics voltage and current to the power grid, and the possibility of uneconomical and unscheduled V2G practices. Recent research and international agency reports are revised to provide possible solutions to these bottlenecks and, in places, the requirements for additional research. The promise of V2G could be colossal, but the scheme first requires tremendous collaboration, funding, and technology maturation.

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  • Dynamic tariff structures, including time-of-use pricing and real-time incentives, can shift EV charging to off-peak periods, flatten the load curve, and ease network stress.

    “Dynamic tariff structures, including time-of-use pricing and real-time incentives, have the potential to shift user charging to off-peak periods, flattening the load curve, and easing the stress on the network [7].”

    From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [7]

    Section 5.1 describes a time-of-use scheme that keeps EV charging in off-peak periods and reduces its impact on generating units. Section 3.4.1 says scheduled charging can shift load and help fill valleys and clip peaks. The passages do not establish that real-time pricing incentives produce these effects, so that part of the attributed claim is unsupported. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Traditional power grid control methods including demand-side management and time-of-use pricing provide limited and reactive short-term relief to evolving load profiles from real-time EV charging behaviour.

    “Such approaches provide limited and reactive short-term relief to the evolving load profiles resulting from real-time EV charging behaviour.”

    From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [7]

    Section 5.1 says unscheduled EV charging affects grid power quality and describes a time-of-use scheme that reduces its impact. It does not assess whether time-of-use pricing or demand-side management provides only limited, reactive, short-term relief. Searches for those limitations and for traditional grid-control approaches found no passage addressing the attributed point. (LLM, conf=0.72)

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Cited by

Sorted by citations

Authors
Mojumder, M. R. H., Ahmed Antara, F., Hasanuzzaman, M., Alamri, B., & Alsharef, M.
Affiliations
  • Khulna University of Engineering and Technology (BD)
  • Department of Electrical and Electronic Engineering, Daffodil International University, Dhaka 1341, Bangladesh
  • University of Malaya (MY)
  • Taif University (SA)
Corresponding author
Hasanuzzaman, Md.
Venue
Sustainability
Publisher
MDPI AG
Published
2022-10-25
Volume
14
Issue
21
Pages
13856
ISSN
2071-1050 (ISSN-L)
OpenAlex
W4307548964
Cited by
306
References
3
Citations by year
2026: 91 · 2025: 121 · 2024: 64 · 2023: 29 · 2022: 1
FWCI
14.72
Type
journal article
Language
en
Open access
Locations
  • Sustainability (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Taif University (TURSP-2020/278)
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 › Automotive Engineering › Electric and Hybrid Vehicle Technologies
Keywords
vehicle-to-grid, electric vehicles, grid impact, bidirectional charging, smart grid, battery degradation, charging standards, government incentives

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