Optimal Utilization of Charging Resources of Fast Charging Station with Opportunistic Electric Vehicle Users

The key challenge with the rapid proliferation of electric vehicles (EVs) is to optimally manage available energy charging resources at EV fast-charging stations (FCSs). Furthermore, deployment provides a viable solution potential driving range anxiety and autonomy. Costly grid reinforcements due extra load caused by fast can be omitted using dedicated storage and/or renewable system FCS. supply fixed number equipment (EVSE) are considered as limited Amidst various uncertainties associated process, how utilize opportunistic ultra-fast users (UEVs) studied in this work. This work proposes resource allocation coordination strategies that facilitate UEVs dynamically exploit these defined liabilities when pre-scheduled (SEVs) do not occupy them maximally. Moreover, proposed dynamic analyzed Monte Carlo simulation (MCS). presented numerical results reveal major drawbacks under-utilization SEVs significantly improved through along UEVs. With study, maximum utilization FCS 10 EVSE has been 90%, which bounds 78% only SEVs.