Research on orderly charging scheduling of new energy vehicles in airfield

Jingchang Zhuge; Yiming Zhang; Chunhua Kang; Xubao Shan; Shizheng Wang; Xiaoxiang Li

doi:10.1117/12.3014964

4 March 2024 Research on orderly charging scheduling of new energy vehicles in airfield

Jingchang Zhuge, Yiming Zhang, Chunhua Kang, Xubao Shan, Shizheng Wang, Xiaoxiang Li

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129814L (2024) https://doi.org/10.1117/12.3014964
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingchang Zhuge, Yiming Zhang, Chunhua Kang, Xubao Shan, Shizheng Wang, and Xiaoxiang Li "Research on orderly charging scheduling of new energy vehicles in airfield", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129814L (4 March 2024); https://doi.org/10.1117/12.3014964

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