Coordinated Charging Evaluation for Electric Vehicles in Residential Power Delivery Network

Due to the low running cost and less pollution, a very high potentiality has been observed for electric vehicles (EVs) in the future transportation sector. But a large amount of electrical power is required to charge these EVs. An uncoordinated charging system of the EVs might cause diverse concerns and low performance in the power infrastructure. Hence, the evaluation of coordinated charging scheduling is a need of hour to host increased number of EVs. A multi-criterion scheduling strategy has been presented in this work to charge the EVs in residential buses under a utility or power distribution company. The system's overall load demand deviation and line current unbalances are selected to prosper the power delivery performance of the network. A particle swarm optimization (PSO) method has been utilized to evaluate the efficacy of the proposed solution model on a three-phase unbalanced 19-bus test distribution network. The stochastic nature of the demand patterns in the test region has been characterized with a probabilistic load model. Further, a comparative study with existing method is provided to illustrate the competency of the proposed approach.