The number of electric vehicles is increasing worldwide. The charging of a single electric vehicle can draw several kilowatts of power, and the aggregate effects of charging thousands of electric vehicles on electric power system infrastructure, operation, and planning must be considered. An important tool in studying the integration of electric vehicles and developing associated technologies and controls within the framework of the smart grid are probabilistic models of charging station load. This article identifies, evaluates, and proposes probabilistic models and analyzes the statistical characteristics of aggregated electric vehicle charging station load. A data-driven approach is taken, using measured time-stamped power consumption from charging stations to formulate and evaluate suitable parametric probabilistic models. The influence of time-of-use pricing on electric vehicle charging station load characteristics is also examined. Two data sets-one from Washington State, the other from San Diego, CA-each covering over 2 years, are used to create the models.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Probabilistic Modeling and Statistical Analysis of Aggregated Electric Vehicle Charging Station Load


    Contributors:


    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    53.33 / 53.33 Elektrische Maschinen und Antriebe



    Electric vehicle charging station load calculation method

    PAN BENREN / XIE GUOQIANG / ZHANG YAN et al. | European Patent Office | 2020

    Free access


    LOAD MANAGEMENT OF AN ELECTRIC VEHICLE CHARGING STATION

    HENRIKSSON JANI | European Patent Office | 2024

    Free access

    LOAD MANAGEMENT OF AN ELECTRIC VEHICLE CHARGING STATION

    HENRIKSSON JANI | European Patent Office | 2023

    Free access

    Real-Time Control of an Electric Vehicle Charging Station While Tracking an Aggregated Power-Setpoint

    ACHARA JAGDISH PRASAD / WANG CONG / PAOLONE MARIO et al. | European Patent Office | 2022

    Free access