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Samenvatting
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.
Originele taal-2 | English |
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Titel | EVS32 Proceedings |
Uitgeverij | EVS32 |
Aantal pagina's | 11 |
Status | Published - mei 2019 |
Evenement | EVS32: International electric vehicle symposium & exhibition - Lyon, Lyon, France Duur: 19 mei 2019 → 22 mei 2019 Congresnummer: 32 https://www.evs32.org/ https://evs32.org/ |
Conference
Conference | EVS32 |
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Land/Regio | France |
Stad | Lyon |
Periode | 19/05/19 → 22/05/19 |
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Vingerafdruk
Duik in de onderzoeksthema's van 'Development of an Energy Management Strategy and Sizing Algorithm for a Nanogrid Parking Lot for Electric Vehicles'. Samen vormen ze een unieke vingerafdruk.Activiteiten
- 1 Talk or presentation at a conference
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Energy Management Strategy and Sizing Algorithm for a Nanogrid Parking Lot for Electric Vehicles
Boud Verbrugge (Speaker)
21 mei 2019Activiteit: Talk or presentation at a conference