At the same time, the burning of a large amount of fossil fuels has aggravated environmental pollution and the greenhouse effect. In order to solve the problems of energy shortage and environmental pollution, electric vehicle technology has been highly valued by many countries. Electric vehicles are the most promising new energy vehicles. Therefore, on the basis of fully considering the charging load characteristics of electric vehicles, how to better establish charging facilities and adjust the impact of a large number of random loads on the grid. Therefore, it is of great significance and application value to study the charging strategy and control method of electric vehicles to improve the stable operation level of the power grid and the ability to accept new energy. Here, the frequency modulation control strategy of electric vehicles considering the restriction of electricity price is studied to ensure the regulation ability and charging demand of electric vehicles.


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    Titel :

    Electric Vehicle Charging Control Based on Smart Grid Big Data


    Beteiligte:
    Chang, Kuo-Chi (Autor:in) / Xu, Ze (Autor:in) / Chu, Kai-Chun (Autor:in) / Chang, Fu-Hsiang (Autor:in) / Wang, Hsiao-Chuan (Autor:in) / Hsu, Tsui-Lien (Autor:in) / Lin, Yuh-Chung (Autor:in) / Zhou, Yuwen (Autor:in)


    Erscheinungsdatum :

    01.12.2020


    Format / Umfang :

    365489 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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