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.
Original languageEnglish
Title of host publicationEVS32 Proceedings
PublisherEVS32
Number of pages11
Publication statusPublished - May 2019
Event32nd Electric Vehicle Symposium (EVS32) Lyon, France, May 19 - 22, 2019: EVS32 - Lyon, Lyon, France
Duration: 19 May 201922 May 2019
https://evs32.org/

Conference

Conference32nd Electric Vehicle Symposium (EVS32) Lyon, France, May 19 - 22, 2019
CountryFrance
CityLyon
Period19/05/1922/05/19
Internet address

    Research areas

  • Energy storage, Electric vehicle (EV), Optimization, Photovoltaic, Power Management

ID: 46251120