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In view of the charging scheduling problem of new energy vehicles in the airfield area, the traditional disordered charging phenomenon causes the unbalanced utilization of charging piles, which makes some charging piles overloaded and cannot be applied to the safe operation of the distribution network in the airfield area. By analyzing the vehicle charging law of a domestic hub airport, with the goal of minimizing the deviation of the comprehensive utilization rate of charging piles and the minimum vehicle queuing time, a new energy vehicle charging scheduling model was established, and the particle swarm optimization algorithm was used to solve the model, and the actual charging data of the airport was compared and verified. The results showed that the algorithm could reduce the variance of the comprehensive utilization rate of charging piles by 70.4%, reduce the queuing time of vehicle charging by 59.6%, and effectively improved the safety of the airport distribution network and the operating efficiency of new energy vehicles.
Zhuge et al. (2024) studied this question.