In order to study the impact of large-scale access of electric vehicles to urban power grid, this paper adopts the Monte Carlo method to simulate the travel habits of electric private cars, electric buses and electric taxis in the city by combining with the initial charging time, daily mileage, battery parameters, charging efficiency and other influencing factors Measurement. According to the load forecasting results of electric vehicles, the impact of large-scale electric vehicles connected to power grid is analyzed. An example shows that this method has higher accuracy and better effect in electric vehicle load forecasting.


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    Titel :

    Load forecasting of electric vehicles based on Monte Carlo method


    Beteiligte:
    Yong, Chen (Autor:in) / YingDa, Jiang (Autor:in) / Gang, Xu (Autor:in) / JiaJia, Cui (Autor:in) / DaYu, Qing (Autor:in) / XiMing, Zhu (Autor:in)


    Erscheinungsdatum :

    01.12.2020


    Format / Umfang :

    316603 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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