Electric Vehicles (EVs) offer a solution to the growing emissions that are released due to internal combustion engine (ICE) based transportation. With the increase in the number of EVs on the road, charging infrastructure and management have to be accommodated for increased use of EVs. In this article, an EV cancellation event classification framework is proposed for a multi-aggregator EV charge scheduling scheme. Four cancellation motivations are detailed and corresponding impacts are observed on the aggregator profits. Further, the impact of rescheduling of cancelled slots on total profits is also explored. The profits including cancellation charges along with rescheduling of slots were the highest when compared with no rescheduling and no cancellation charges. In this work, less than 1% cancellations of the total scheduled vehicles are considered.


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    Titel :

    Electric vehicle (EV) cancellation event classification for multi-aggregator EV charge scheduling (EVCS)


    Beteiligte:
    Gupta, Vishu (Autor:in) / Kumar, Rajesh (Autor:in) / K, Srikanth Reddy (Autor:in) / Panigrahi, Bk (Autor:in)


    Erscheinungsdatum :

    2017-12-01


    Format / Umfang :

    838041 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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