A novel day ahead charging scheme for electric vehicles with time of use-based prioritization supported by genetic algorithm

Abstract

In this paper, a day ahead valley-filling technique-based electric vehicle (EV) charging scheme is proposed for a centralized charging facility. Along with addressing the network stress and customer comfort, the proposed charging scheme prioritizes the accommodation time of the charging station. It takes the ‘time of use’ factor by the EVs as the deciding factor for the available charging timeslots management at the charging station. Also, a variable day ahead block rate tariff system is proposed to recover the infrastructure development cost with a profit. Genetic algorithm (GA) is applied to utilize the high dense timeslot in a near-optimum way. In addition, the charging method also addresses consumer comfort by initiating timeslot preference-based EV shifting. Simulation outcomes illustrate the superiority and novelty of the proposed charging scheme in assigning charging slots to the EVs of charging attending the precedence of station management with a limited number of ports.