Logistics-Energy Coordinated Optimization Scheduling Method for Container Terminals with Potential Energy Feedback

doi:10.16183/j.cnki.jsjtu.2024.526

Abstract

Abstract:

To reduce the operating costs of container terminals and improve energy utilization efficiency, a day-ahead coordinated scheduling model for container terminal microgrids with potential energy feedback is developed. First, a logistics-energy coupling system of container terminals is established, based on which, a quay crane operation model with potential energy feedback and an automatic guided vehicle energy management model are developed. Next, the operation characteristics of various logistics equipment in the terminal are analyzed, and a logistics-energy coordinated optimization model with the objective of minimizing daily operating costs is established. The model is then solved using an adaptive simulated annealing genetic algorithm to obtain the optimal collaborative scheduling scheme for quay cranes and automated guided vehicles. Finally, a container terminal in Shanghai is adopted for simulation verification. Compared with the traditional scheduling method, the proposed scheduling scheme reduces the operating cost by 4.96%, increases the utilization rate of potential energy feedback by 18.69%, and effectively shortens the investment payback period of the quay crane potential energy feedback device transformation.

Key words: container terminal, potential energy feedback, coupled system optimization scheduling, quay crane (QC), automated guided vehicle (AGV)

CLC Number:

U653

YANG Huanhong, YE Jingyuan, LI Jun, ZHANG Weichuan, WANG Lixiang, WANG Yuxuan. Logistics-Energy Coordinated Optimization Scheduling Method for Container Terminals with Potential Energy Feedback[J]. Journal of Shanghai Jiao Tong University, 2026, 60(6): 965-974.

Figures/Tables 12

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船舶编号	预计到达时间	最晚离开时间	最大可配置岸桥数	集装箱数
1	0:00	6:00	3	320
2	3:00	10:00	3	367
3	8:00	15:00	3	397
4	10:00	19:00	3	388
5	13:00	22:00	3	411
6	15:00	23:00	3	374

场景	日运行成本/元
场景	购电成本	物流设备生产作业成本	总成本
1	43086.36	2500.41	45586.77
2	35646.72	5141.70	40788.42
3	38525.11	2543.54	41068.65
4	36554.98	2474.71	39029.69

场景	岸桥势能回馈改造成本/万元	势能回馈装置日均折旧成本/(元·d^-1)	势能回馈装置日均维护成本/(元·d^-1)	势能回馈利用率/%	预计投资回报周期/d
1	—	—	—	—	—
2	65	169.18	330.16	100	1510
3	15	39.04	56.15	77.15	252
4	15	39.04	56.15	91.57	210