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 |