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This paper presents an energy management strategy (EMS) and infrastructure-sizing algorithm for charging electric vehicles (EVs) from a nanogrid, comprising a photovoltaic array and a stationary battery pack. This to the utility grid connected system can be a solution for the integration of EVs in the future. The EMS is developed with a fuzzy logic controller that controls the power flow within the nanogrid with the objective to satisfy a weekly load demand of 250 kWh per charging station. The system’s components are optimally sized with a genetic algorithm that minimizes a cost function including the capital and operating costs. The results prove the correct functioning of the EMS, but it was found that a nanogrid parking is not yet attractive from the economical point of view.
|Status||Published - mei 2019|
|Evenement||32nd Electric Vehicle Symposium (EVS32) Lyon, France, May 19 - 22, 2019: EVS32 - Lyon, Lyon, France|
Duur: 19 mei 2019 → 22 mei 2019
|Conference||32nd Electric Vehicle Symposium (EVS32) Lyon, France, May 19 - 22, 2019|
|Periode||19/05/19 → 22/05/19|
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- 1 Talk or presentation at a conference