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

dc.contributor.authorIsmail, Ali A.
dc.contributor.authorMbungu, Nsilulu T.
dc.contributor.authorElnady, A.
dc.contributor.authorBansal, Ramesh C.
dc.contributor.authorHamid, Abdul-Kadir
dc.contributor.authorAlShabi, Mohammad
dc.date.accessioned2024-03-27T12:58:53Z
dc.date.available2024-03-27T12:58:53Z
dc.date.issued2023
dc.description.abstractMobility 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.departmentElectrical, Electronic and Computer Engineeringen_US
dc.description.librarianhj2024en_US
dc.description.sdgSDG-07:Affordable and clean energyen_US
dc.description.urihttps://www.tandfonline.com/journals/tjms20en_US
dc.identifier.citationAli 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.issn0228-6203 (print)
dc.identifier.issn1925-7082 (online)
dc.identifier.other10.1080/02286203.2022.2148180
dc.identifier.urihttp://hdl.handle.net/2263/95396
dc.language.isoenen_US
dc.publisherTaylor and Francisen_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.subject5Ds visionen_US
dc.subjectVehicle to X (V2X)en_US
dc.subjectVehicle to grid (V2G)en_US
dc.subjectRenewable energyen_US
dc.subjectOptimal controlen_US
dc.subjectPower electronic convertersen_US
dc.subjectMobility historyen_US
dc.subjectEnergy storageen_US
dc.subjectBattery chargersen_US
dc.subjectSDG-07: Affordable and clean energyen_US
dc.titleImpact of electric vehicles on smart grid and future predictions : a surveyen_US
dc.typePreprint Articleen_US

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