Plug-in Electric Vehicles (PEVs) are rapidly expanding in the transportation sector and are an emerging component of the power grid uncertain load. The high level PEV penetration will impose additional demand and will have a negative impact on the power grid. A complete load profile model is required to ensure a realistic and implementable plan related to PEVs and their impact on the power grid. In this paper, a methodology is proposed to estimate the PEV charging load and available storage profile model using the travel patterns derived from the national household travel survey (NHTS). The most recent published national household travel survey (2017 NHTS) is used to approximate the travel patterns of PEVs. The charging profile model proposed in this section aims to be utilized for reliability analysis purposes.


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    Titel :

    Plug-in Electric Vehicles Charging Load Profile Estimation


    Beteiligte:
    Ghavami, Mohsen (Autor:in) / Singh, Chanan (Autor:in)


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    1048759 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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