With the emergence of the smart inverter, EV charging stations have a tremendous potential to provide ancillary services to power distribution grids such as increasing the system capacity, reducing the system losses, and enhancing the system voltage profile. These inverters can be allowed to inject reactive power into the grid for voltage regulation, i.e., smoothing voltage fluctuations due to the variation of demands and also renewable generations. To our best knowledge, few works are conducted to analyze the effect of the EV charging station inverters on voltage regulation. In this paper, how EV charging station inverters can participate in voltage regulation formulated as an optimization problem. A game-theoretic machine learning framework is proposed to design a decentralized Volt-Var control strategy. The proposed framework and algorithm are validated on the Southern California Edison 47-bus system.


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    Titel :

    Decentralized Volt/Var Control of EV Charging Station Inverters for Voltage Regulation


    Beteiligte:
    Wang, Shengyi (Autor:in) / Du, Liang (Autor:in) / Li, Yan (Autor:in)


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    484154 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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