Optimal Charge Scheduling of Electric Vehicles Using Coati Optimization Algorithm (COA)

The development of efficient and eco-friendly charging systems is necessary due to the increasing integration of EVs into power distribution networks. This study presents the Coati Optimization Algorithm (COA) as a novel method for optimizing the charge scheduling EVs. The proposed methodology aims to simultaneously minimize charging costs, reduce active power loss within the system, and minimize load variance. At the IEEE-33 Bus system, the effectiveness of the scheduling method, which was developed using the COA technique, is evaluated within a specific charge duration. The controlled and uncontrolled charging schedules are compared based on charging cost, active power losses, and load variance at high and low penetration of EVs, taking into account a 24hour load demand profile. The results demonstrate that the suggested coordinated charging schedule effectively minimizes overall cost and active power losses as compared to the uncoordinated charging approach.