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

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.

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Publication Details

Journal
International Transactions on Electrical Energy Systems
Published
2025-01-01
DOI
https://doi.org/10.1155/etep/5825006
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.46
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article

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

Ahmed G. Abo‐Khalil, Suma Al-Arab, Ramesh C. Bansal
2 citations
International Transactions on Electrical Energy Systems
Electric Vehicles and Infrastructure
1.46
article

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

Ahmed G. Abo‐Khalil, Suma Al-Arab, Ramesh C. Bansal
article en
2 citations

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.

International Transactions on Electrical Energy SystemsVol. 2025(1)
University of Sharjah (AE), University of Pretoria (ZA), Assiut University (EG)
Openalex Percentile: Top 17%
Electric Vehicles and Infrastructure
1.46
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Analyzing the Impact of Electric Vehicles on the Power Network of the United Arab Emirates — Ahmed G. Abo‐Khalil, Suma Al-Arab, et al. · International Transactions on Electrical Energy Systems (2025) | TGRS Research Map | TGRS