Impact of electric vehicles on smart grid and future predictions : a survey

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dc.contributor.author Ismail, Ali A.
dc.contributor.author Mbungu, Nsilulu T.
dc.contributor.author Elnady, A.
dc.contributor.author Bansal, Ramesh C.
dc.contributor.author Hamid, Abdul-Kadir
dc.contributor.author AlShabi, Mohammad
dc.date.accessioned 2024-03-27T12:58:53Z
dc.date.available 2024-03-27T12:58:53Z
dc.date.issued 2023
dc.description.abstract Mobility has modernized urban areas using an efficient transportation system. However, mobility demand growth has accelerated the expansion of conventional transportation, which significantly contributes to pollution. The need of Green transportation results in the eminence of electric vehicles (EVs). Besides, green mobility minimizes pollution from transportation systems and conventional power sources when EVs are optimally integrated into the utility grid. Thus, this study assesses different significant optimum possibilities of grid-connected EVs. A review of the critical impacts of grid-tied EVs is presented. Vehicle to the grid (V2G) is the future of electric cars. This uses a bidirectional power flow of the EV’s battery charging to either charge the car or sustain the utility grid. The V2G is highly affected by diverse loading conditions that challenge the network’s acceptable voltage and optimal power-sharing within the electrical network. It is observed that the V2G perspective is based on the 5Ds (decentralisation, de-carbonization, digitalization, deregulation, and democratization) vision to overcome the overall shortcomings in the modern power grid. The 5Ds vision of V2G implementation sustains different stakeholders working on the future of electric cars. Thus, this research is a stronger foundation for the new perspective and vision of V2G development and applications. en_US
dc.description.department Electrical, Electronic and Computer Engineering en_US
dc.description.librarian hj2024 en_US
dc.description.sdg SDG-07:Affordable and clean energy en_US
dc.description.uri https://www.tandfonline.com/journals/tjms20 en_US
dc.identifier.citation Ali A. Ismail, Nsilulu T. Mbungu, A. Elnady, Ramesh C. Bansal, Abdul-Kadir Hamid & Mohammad AlShabi (2023) Impact of electric vehicles on smart grid and future predictions: a survey, International Journal of Modelling and Simulation, 43:6, 1041-1057, DOI: 10.1080/02286203.2022.2148180. en_US
dc.identifier.issn 0228-6203 (print)
dc.identifier.issn 1925-7082 (online)
dc.identifier.other 10.1080/02286203.2022.2148180
dc.identifier.uri http://hdl.handle.net/2263/95396
dc.language.iso en en_US
dc.publisher Taylor and Francis en_US
dc.rights © 2022 Informa UK Limited, trading as Taylor & Francis Group. This is an electronic version of an article published in International Journal of Modelling and Simulation, vol. 43, no. 6, pp. 1041-1057, 2023. doi : 10.1080/02286203.2022.2148180. International Journal of Modelling and Simulation is available online at : https://www.tandfonline.com/journals/tjms20. en_US
dc.subject 5Ds vision en_US
dc.subject Vehicle to X (V2X) en_US
dc.subject Vehicle to grid (V2G) en_US
dc.subject Renewable energy en_US
dc.subject Optimal control en_US
dc.subject Power electronic converters en_US
dc.subject Mobility history en_US
dc.subject Energy storage en_US
dc.subject Battery chargers en_US
dc.subject SDG-07: Affordable and clean energy en_US
dc.title Impact of electric vehicles on smart grid and future predictions : a survey en_US
dc.type Preprint Article en_US


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