Department of Electrical Engineering, National Institute of Technology Durgapur, India E-mail: svdas111@gmail.com; parimal.acharjee@gmail.com; bhatta.aniruddha@gmail.com Manuscript received online 21 April 2020, revised and accepted 21 August 2020 Electrification of vehicles is an upgraded solution to deal with global warming. Although, anxiety related with Electric Vehicle (EV) usage is a great challenge to deal with. To avoid anxiety, selection of “appropriate” charging station at right time is necessary. Concomitantly, charging of EVs in uncoordinated manner can be stressful for the grid causing power loss, and instability issues. Hence, in this paper, a new intelligent “Strategy for Appropriate Charging Station Assignment and Intelligent Scheduling” (SACAIS) algorithm has been proposed. In the first layer of algorithm, the relevant charging station and the shortest path to reach the assigned Charging station for individual EVs has been done. After that, a combined scheduling of the vehicles has been done to minimize the total daily charging cost incurred by CSO considering grid to vehicle (G2V) and Vehicle to grid (V2G) mode simultaneously in the second layer of algorithm. Later to validate the robustness of the optimization techniques, Wilcoxon Signed Ranked Test and Quade test has been performed.


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    Titel :

    Allocation of Appropriate Charging Station and Intelligent Charging Scheduling for On-Road Electric Vehicles


    Beteiligte:

    Erscheinungsdatum :

    01.10.2020


    Anmerkungen:

    oai:zenodo.org:5969242
    Journal Of India Chemical Society Vol. 97, No. 10b(Oct 2020) 1875-1891



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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