Analyzing the Impact of Electric Vehicles on the Power Network of the United Arab Emirates.

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Title: Analyzing the Impact of Electric Vehicles on the Power Network of the United Arab Emirates.
Authors: Al-Arab, Suma1 (AUTHOR), Bansal, Ramesh C.1,2 (AUTHOR) rcbansal@ieee.org, Abo-Khalil, Ahmed G.3,4 (AUTHOR), Tomislav, Capuder (AUTHOR)
Source: International Transactions on Electrical Energy Systems. 6/30/2025, Vol. 2025, p1-17. 17p.
Subject Terms: *Electric vehicle charging stations, *Infrastructure (Economics), *Renewable energy sources, *Electric power distribution grids, *Electric vehicle industry, *Electric vehicles, *Electric automobiles
Abstract: This study investigates the impact of increasing electric vehicle (EV) adoption on the power grid in the United Arab Emirates (UAE), focusing on grid performance, stability, and efficiency under different EV penetration scenarios. A mathematical model is developed to evaluate EV charging load profiles based on energy consumption, charging schedules, and station distribution. The results reveal that level 1 (120 V) charging stations generate a peak load of 93.6 kW, whereas level 2 (240 V) stations impose a significantly higher peak load of 187.2 kW. The study finds that while the existing power grid can support up to 40% EV penetration with level 1 charging, it risks exceeding capacity with level 2 infrastructure. By 2030, a 40% EV penetration with level 2 charging is projected to surpass the system's margin capacity, increasing the likelihood of voltage instability and transformer overloads. This research is novel in its UAE‐specific modeling of EV charging impacts, offering detailed insights into grid constraints under future EV growth. To mitigate these challenges, the study recommends dynamic pricing strategies and vehicle‐to‐grid (V2G) technology to optimize load distribution and enhance grid resilience. The findings provide essential guidance for policymakers, utilities, and industry stakeholders in developing a sustainable and efficient EV charging infrastructure. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 186282601
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PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Analyzing the Impact of Electric Vehicles on the Power Network of the United Arab Emirates.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Al-Arab%2C+Suma%22">Al-Arab, Suma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bansal%2C+Ramesh+C%2E%22">Bansal, Ramesh C.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> rcbansal@ieee.org</i><br /><searchLink fieldCode="AR" term="%22Abo-Khalil%2C+Ahmed+G%2E%22">Abo-Khalil, Ahmed G.</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tomislav%2C+Capuder%22">Tomislav, Capuder</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Transactions+on+Electrical+Energy+Systems%22">International Transactions on Electrical Energy Systems</searchLink>. 6/30/2025, Vol. 2025, p1-17. 17p.
– Name: Subject
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  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Electric+vehicle+charging+stations%22">Electric vehicle charging stations</searchLink><br />*<searchLink fieldCode="DE" term="%22Infrastructure+%28Economics%29%22">Infrastructure (Economics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicle+industry%22">Electric vehicle industry</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+automobiles%22">Electric automobiles</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates the impact of increasing electric vehicle (EV) adoption on the power grid in the United Arab Emirates (UAE), focusing on grid performance, stability, and efficiency under different EV penetration scenarios. A mathematical model is developed to evaluate EV charging load profiles based on energy consumption, charging schedules, and station distribution. The results reveal that level 1 (120 V) charging stations generate a peak load of 93.6 kW, whereas level 2 (240 V) stations impose a significantly higher peak load of 187.2 kW. The study finds that while the existing power grid can support up to 40% EV penetration with level 1 charging, it risks exceeding capacity with level 2 infrastructure. By 2030, a 40% EV penetration with level 2 charging is projected to surpass the system's margin capacity, increasing the likelihood of voltage instability and transformer overloads. This research is novel in its UAE‐specific modeling of EV charging impacts, offering detailed insights into grid constraints under future EV growth. To mitigate these challenges, the study recommends dynamic pricing strategies and vehicle‐to‐grid (V2G) technology to optimize load distribution and enhance grid resilience. The findings provide essential guidance for policymakers, utilities, and industry stakeholders in developing a sustainable and efficient EV charging infrastructure. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/etep/5825006
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: Electric vehicle charging stations
        Type: general
      – SubjectFull: Infrastructure (Economics)
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Electric power distribution grids
        Type: general
      – SubjectFull: Electric vehicle industry
        Type: general
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Electric automobiles
        Type: general
    Titles:
      – TitleFull: Analyzing the Impact of Electric Vehicles on the Power Network of the United Arab Emirates.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Al-Arab, Suma
      – PersonEntity:
          Name:
            NameFull: Bansal, Ramesh C.
      – PersonEntity:
          Name:
            NameFull: Abo-Khalil, Ahmed G.
      – PersonEntity:
          Name:
            NameFull: Tomislav, Capuder
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          Dates:
            – D: 30
              M: 06
              Text: 6/30/2025
              Type: published
              Y: 2025
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            – Type: issn-print
              Value: 20507038
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            – Type: volume
              Value: 2025
          Titles:
            – TitleFull: International Transactions on Electrical Energy Systems
              Type: main
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