Abstract
Renewable energy based DC microgrid (MG) can be used for EV fast charging stations. Integration of EV charging station to DC MG is a reliable solution to cope up with the rapid increasing load demand of EVs. But, due to intermittent nature of solar PV and EV load the power management of such MGs is going to be stimulant. Developed countries like Norway are operating small hydro generator (SHG) -solar PV-battery storage system (BSS) based DC MGs to solve the power management issues of EV charging stations. But, the power flow oscillations with rapid solar PV dynamics during peak EV load demand cannot be compensated exhaustively due to slow operating time of SHG and C-rate restraint of BSS. Despite these constraints, a smart energy management strategy (SEMS) is proposed in this work to address power management objective. By predicting the EV load dynamics on iteration basis, the proposed SEMS is going to operate the SHG against its slow operating time and ensures the sustainable power flow control of EV charging station interfaced DC MG. Moreover, the configured DC MG model with SEMS is validated in OPAL-RT real time simulator.
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