Due to the rapid promotion of electric vehicles, large-scale charging behavior of electric vehicles brings a large number of time and space highly random charging load, which will have a great impact on the safe operation of distribution network. This paper proposes a planning method of electric vehicle charging station based on travel data. Firstly, the didi trip data is processed and mined to get the trip matrix and other information. Then, the electric vehicle charging load forecasting model is established based on the established unit mileage power consumption model and charging model, and the charging demand distribution information is predicted by Monte Carlo method. Finally, the simulation analysis is carried out based on the trip data of some areas of a city, which shows the effectiveness of the established model feasibility.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Research on electric vehicle load forecasting based on travel data


    Beteiligte:
    Xu Lin (Autor:in) / Wang Bing (Autor:in) / Cheng Mingxi (Autor:in) / Fang Shangshang (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Electric vehicle load forecasting using data mining methods

    Xydas, E.S. / Marmaras, C.E. / Cipcigan, L.M. et al. | Tema Archiv | 2013


    Aggregate vehicle travel forecasting model

    D. L. Greene / S. M. Chin / R. Gibson | NTIS | 1995


    Electric Vehicle Charging Load Forecasting based on Monte Carlo

    Wang, Peiwen / Shen, Jin | VDE-Verlag | 2022


    VEHICLE TRAVEL DATA PROCESSING LOAD REDUCING SYSTEM

    YAMASHITA YUMIKO | Europäisches Patentamt | 2022

    Freier Zugriff

    VEHICLE TRAVEL DATA PROCESSING LOAD REDUCING SYSTEM

    YAMASHITA YUMIKO | Europäisches Patentamt | 2022

    Freier Zugriff