This paper presents an agent-based electricity consumption simulator that allows determining the best EV charging process taking into account home and distribution power limitation. It was made a study for different types of residential consumptions with the goal to analyze the introduction of the Electric Vehicle (EV). Taken into account the different profiles of families (with different power consumptions and traveled distances), and assuming one EV per family, it was determined the most appropriate forms to charging the EV. Thus, it was determined the time of day where there is a great amount of energy to be used, and, consequently, compiling the values of consumption per hour were found the ideal intervals along the days for EV charging. Also, the developed platform can be used for the simulation of real testing environments of EV charging, being adaptable to different countries specificities. Also electric distribution companies can use this tool for future planning, simulation and decision support. Consequently, this information can be used to determine the capability of the actual electrical distribution network for supplying energy to the final consumers, and also for charging the banks of batteries of the Electric Vehicles, which can occur simultaneously.


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    Titel :

    Agent based approaches for smart charging strategy for electric vehicles


    Beteiligte:


    Erscheinungsdatum :

    2011


    Format / Umfang :

    7 Seiten, 10 Bilder, 4 Tabellen, 18 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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