Due to the mobility and flexibility of the Electrical Vehicles (EV), the power allocation of EV loads conducts as a critical part of demand side management. Since the EV charging stations provide the essential access for mass EV loads into the power grid, we introduce an efficient and decentralized real-time EV power allocation scheme among the neighbouring charging stations. In this paper, firstly, EV load power is managed in parallel according to current base load power inside the bus, and the power fluctuation is minimized for the whole system via Proximal Jacobian Alternating Direction Method of Multipliers (ADMM) technique. Then, the EV units access the network by the random charging scheme which is defined by the power analysis results and the EV's characteristics. Facilitated by the proposed approach, the stability and efficiency of the whole system can be improved by the local optimization process with decentralized manner.


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    Title :

    A Decentralized Load Balancing Approach for Neighbouring Charging Stations via EV Fleets


    Contributors:
    Li, Mushu (author) / Zhao, Lian (author)


    Publication date :

    2017-09-01


    Size :

    232959 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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