Integration of park and ride (P&R) systems with electrified railways has been demonstrated to effectively reduce traffic congestion and the usage of private vehicles. To reduce operation costs and carbon emissions, this paper investigates suburban railway smart grids (SRSGs) incorporated electric vehicle (EV) charging management and railway energy dispatch. A stochastic optimization model is established, in which EV charging power flow scheduling and the charging/discharging strategies of ultracapacitors (UC) are scheduled. Meanwhile, the uncertainties of EV charging behaviours, such as arrival and departure times and initial states of charge, are captured by chance-constrained programming. The effectiveness of the power flow dispatch approach is demonstrated by the numerical simulation, it is shown that the proposed stochastic dispatch approach can reduce the overall cost by up to 10%.


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    Title :

    Chance-Constrained Dispatch of Suburban Railway Smart Grids Considering EVs Charging Behaviors


    Contributors:
    Chen, Yinyu (author) / Chen, Yin (author) / Chen, Minwu (author) / Zhou, Jianyu (author) / Yang, Ning (author) / Zhao, Shihao (author)


    Publication date :

    2024-11-29


    Size :

    1922220 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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    Suburban railway electrification

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