Electric vehicles (EVs) can be aggregated into virtual power plants (VPPs) to participate in grid scheduling. However, due to the mobility of EVs, estimating their adjustable capability is highly stochastic. Therefore, this paper proposes a method to characterize the adjustable capability of VPPs considering the dynamic aggregation of EVs. Firstly, a VPP layering and partition strategy is proposed, combining grid structure and administrative divisions to layer and partition the adjustable capability of flexible resources. Subsequently, the dynamic characteristics of the EV aggregation process are analyzed in detail. The adjustable capability of EVs aggregated into VPPs is characterized using a time-varying confidence interval estimation method. Based on actual data from 18,000 charging stations in Shanghai, this paper reveals their daily cycle characteristics and evaluates the regulation potential of EVs in different times and regions, with simulation verification conducted using MATLAB.


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    Titel :

    Characterization of the Adjustable Capability of Virtual Power Plants Considering the Dynamic Aggregation of Electric Vehicles


    Beteiligte:
    Wang, Yanjia (Autor:in) / Xie, Da (Autor:in) / Li, Ziyi (Autor:in) / Wang, Xitian (Autor:in)


    Erscheinungsdatum :

    10.10.2024


    Format / Umfang :

    453915 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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