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Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources

doi: 10.3390/en12224240
This paper introduces an energy management and control method for DC microgrid supplying electric vehicles (EV) charging station. An Energy Management System (EMS) is developed to manage and control power flow from renewable energy sources to EVs through DC microgrid. An integrated approach for controlling DC microgrid based charging station powered by intermittent renewable energies. A wind turbine (WT) and solar photovoltaic (PV) arrays are integrated into the studied DC microgrid to replace energy from fossil fuel and decrease pollution from carbon emissions. Due to the intermittency of solar and wind generation, the output powers of PV and WT are not guaranteed. For this reason, the capacities of WT, solar PV panels, and the battery system are considered decision parameters to be optimized. The optimized design of the renewable energy system is done to ensure sufficient electricity supply to the EV charging station. Moreover, various renewable energy technologies for supplying EV charging stations to improve their performance are investigated. To evaluate the performance of the used control strategies, simulation is carried out in MATLAB/SIMULINK.
- Usman Institute of Technology Pakistan
- Sohag University Egypt
- Faculty of Engineering, Sohag University Egypt
- Faculty of Engineering, Sohag University Egypt
- Usman Institute of Technology Pakistan
dc microgrid, Technology, DC microgrid; electric vehicles; resilient microgrid; solar PV; wind turbine; charging station; control, T, solar pv, resilient microgrid, wind turbine, charging station, control, electric vehicles
dc microgrid, Technology, DC microgrid; electric vehicles; resilient microgrid; solar PV; wind turbine; charging station; control, T, solar pv, resilient microgrid, wind turbine, charging station, control, electric vehicles
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).66 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
