Smart grid operator systems adopting flexible EVs charging scenarios to tackle the potential pressure due to additional load demand of EVs connected with the power grid. Motivated by the challenge, this article presented new operational algorithm that enable the EVs battery charge and discharge for connected grid support of active power, as shown in Fig.3. Uncertainties associated with EVs’ SOC status and departure time are taken into consideration through proposing aggregator controller to manage the random energy available in the grid. However, the technique proposed here is based on allocating each EV a charging priority, called scored-priority (SCR), the calculation of which includes reflexion of the power grid, vehicle, battery, aggregator controller, and charger.
In order to allow public parking lots to get benefit from smart charging for end-user DR, a framework for energy flow is developed in which the aggregator controller can manage the decision-making using real-time interactions with EV owners. This method is based on a calculation of the techniques in which EV charging can help real-time proficient energy delivery and phase-unbalance mitigation in a three phase LV system.The optimal battery capacity of the grid connected system can be designed under two cases. The battery discharging process under each scenarios is considered. The electricity imports from the grid is measured as grid more than zero and the electricity export to the grid is considered as grid less than zero.
Battery charging process is measured as battery DC more than 0 and battery discharging is measured as battery DC less than 0. The energy dispatch scheduling of the battery storage will due to increase the income by push the stored energy for supplying the loads throughout peak hours of the day when the cost of electricity is high to purchase low electricity priced from the main grid during off peak hours at night to charge the battery for using it during the peak hours of the day.