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%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Chen, Yinyu (Autor:in) / Chen, Yin (Autor:in) / Chen, Minwu (Autor:in) / Zhou, Jianyu (Autor:in) / Yang, Ning (Autor:in) / Zhao, Shihao (Autor:in)


    Erscheinungsdatum :

    29.11.2024


    Format / Umfang :

    1922220 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Editorial: Chance „Smart Grids„

    British Library Online Contents | 2009


    Hamburg suburban railway

    Buer, Nils | Engineering Index Backfile | 1921


    Suburban railway electrification

    Say, M.G. / Smith, S.P. | Engineering Index Backfile | 1928


    Suburban railway electrification

    Say, M.G. / Smith, S.P. | Engineering Index Backfile | 1929