Abstract
Numbers of electric vehicles (EVs) are increasing, but undersized connection lines and a lack of charging stations limit how many can be charged concurrently. When this limitation is combined with peaking power demands there is a clear need for smart charging. We present a two-step approach for smart charging that considers phase-wise power assignment. First, a mixed integer linear programming model is used for day-ahead planning. Resulting charging schedules are then used as input for a proposed schedule guided heuristic for real-time planning. Experimental results from simulations show improved fair share among EVs and reduced energy costs.
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Frendo, O., Gaertner, N. (2019). Real-Time Planning for Smart Charging of Electric Vehicle Fleets. In: Fortz, B., Labbé, M. (eds) Operations Research Proceedings 2018. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-18500-8_66
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DOI: https://doi.org/10.1007/978-3-030-18500-8_66
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