计算机应用研究2024，Vol.41Issue(7)：2012-2017,6.DOI:10.19734/j.issn.1001-3695.2023.12.0566
两阶段机场多特种车辆协同充电调度策略
Two-stage collaborative charging scheduling strategy for airport multiple special vehicles
摘要
Abstract
In the airport area,the charging behavior of new energy special vehicles has great randomness,and the charging conditions of different types of special vehicles are different,which results in a large difference in the utilization rate of each charging pile in the airport area,affecting the healthy operation of electric distribution network of the airport.In response to the above phenomenon,this paper designed a two-stage collaborative charging scheduling strategy for eleven types of special vehicles.In the first stage,this paper analyzed the service process of different vehicles for flights,with the goal of minimizing the difference value in the start time of service for adjacent flights by the same vehicle,and generated a sequence of vehicles with charging needs.In the second stage,the strategy aimed to reduce the variance of time utilization of charging piles and ve-hicle charging queue time in each zone of the airport area.Based on sequence of vehicles in the previous stage,this paper used an improved adaptive mutation particle swarm optimization algorithm to solve this model,and validated the strategy by comparing it with actual vehicle charging data of a domestic hub airport.The experiment shows that this algorithm can achieve a 93.5％reduction in the waiting time for vehicle charging,and it reduces the overall variance of time utilization of charging piles in the airport area by 88.7％.Finally,this strategy achieves the goal of balanced use of charging piles.关键词
新能源特种车辆/充电桩/充电调度/改进的自适应变异粒子群算法/均衡使用Key words
new energy special vehicles/charging pile/charging scheduling/improved adaptive mutation particle swarm op-timization algorithm/balanced use分类
信息技术与安全科学引用本文复制引用
诸葛晶昌,张一鸣,单绪宝,王世政,王颖佳,康春华..两阶段机场多特种车辆协同充电调度策略[J].计算机应用研究,2024,41(7):2012-2017,6.基金项目
首都机场集团公司科技项目(BDIA-GK(2021)005) （BDIA-GK(2021）
