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    Electric vehicles charging control in a smart grid: A model predictive control approach

    Electric vehicles charging control in a smart grid: A model predictive control approach


    The paper presents an event driven model predictive control (MPC) framework for managing charging operations of electric vehicles (EV) in a smart grid. The objective is to minimize the cost of energy consumption, while respecting EV drivers' preferences, technical bounds on the control action (in compliance with the IEC 61851 standard) and both market and grid constraints (by seeking the tracking of a reference load profile defined by the grid operator). The proposed control approach allows “flexible” EV users to participate in demand side management (DSM) programs, which will play a crucial role in improving stability and efficiency of future smart grids. Further, the natural MPC formulation of the problem can be recast into a mixed integer linear programming problem, suitable for implementation on a calculator. Simulation results are provided and discussed in detail.

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    Title :

    Electric vehicles charging control in a smart grid: A model predictive control approach

    Contributors:
    Di Giorgio, Alessandro (author) / Liberati, Francesco (author) / Canale, Silvia (author)
    Published in:

    Control Engineering Practice ; 22 ; 147-162

    Publication date :

    2014

    Size :

    16 Seiten, 41 Quellen

    ISSN :

    0967-0661

    DOI :

    https://doi.org/10.1016/j.conengprac.2013.10.005

    Type of media :

    Article (Journal)

    Type of material :

    Print

    Language :

    English

    Keywords :

    modellprädiktive Regelung , Elektrofahrzeug , Ladestation , MILP-Programmierung , prädiktive Regelung , Smart Grid , Aufladungsregelung , Energieverbrauch , simuliertes Ergebnis , verteiltes System , Netzleittechnik , lineare Programmierung , Simulation

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