New electricity demands from electric vehicle (EV) charging introduce significant challenges to the power supply infrastructure. This paper introduces a methodology for modeling the spatial-temporal EV charging demand by leveraging mobility data. The detailed individual mobility patterns extracted from these data enable the simulation of the district-level EV charging demand profiles. Further, by incorporating non-EV demand (e.g., household consumption) data, we also identify critical areas that require grid expansion to accommodate this new demand. Our study contributes to the understanding of the spatial-temporal vehicle-grid interactions, laying the groundwork for the development of EV charging strategies.


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    Titel :

    Estimating Electric Vehicle Charging Demand and its Impact on the Power Grid Using Mobile Phone Data


    Beteiligte:
    Zhou, Jiazu (Autor:in) / Yean, Seanglidet (Autor:in) / Dong, Tianyu (Autor:in) / Lee, Bu Sung (Autor:in) / Schlapfer, Markus (Autor:in)


    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    1013232 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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