In this paper, we study the problem of managing an energy community hosting a fleet of electric vehicles for rent. On the day-ahead, service requests of electric vehicles are submitted to the community. Then, the optimal request-to-vehicle assignment has to be found, as well as the optimal charging schedule of vehicle batteries. A suitable model is presented and included in an existing energy community architecture. The overall community management problem is formulated as a bilevel model, featuring two nested optimization problems. The optimal request-to-vehicle assignment requires the solution of a mixed-integer linear program. To reduce the computational complexity, a heuristic solution to the assignment problem is presented. Numerical results show that the participation in the community grants a remarkable reduction of the electric vehicle charging cost. The adoption of the heuristic assignment solution provides a dramatic reduction of the computation time required to solve the bilevel model. At the same time, the level of suboptimality introduced appears to be negligible, being less than 1% in most of the considered cases.


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    Titel :

    Optimal Management of Energy Communities Hosting a Fleet of Electric Vehicles



    Erscheinungsdatum :

    2022-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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