计及风光不确定性的集装箱港口能源-物流协同调度

doi:10.16097/j.cnki.1009-6744.2026.01.027

交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (1): 295-304.DOI: 10.16097/j.cnki.1009-6744.2026.01.027

计及风光不确定性的集装箱港口能源-物流协同调度

许波桅^a，杜尚炫^a，李军军^*b

上海海事大学，a.物流科学与工程研究院；b.商船学院，上海201306

收稿日期:2025-10-29 修回日期:2025-12-15 接受日期:2026-01-06 出版日期:2026-02-25 发布日期:2026-02-17
作者简介:许波桅（1982—），女，江苏如皋人，副教授，博士。
基金资助:
国家自然科学基金(52572479)；教育部人文社会科学研究项目(25YJA630041)。

Energy-Logistics Co-scheduling for Container Ports Considering Wind and Solar Power Uncertainty

XU Bowei^a, DU Shangxuan^a, LI Junjun^*b

a. Institute of Logistics Science & Engineering; b. Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China

Received:2025-10-29 Revised:2025-12-15 Accepted:2026-01-06 Online:2026-02-25 Published:2026-02-17
Supported by:
National Natural Science Foundation of China(52572479)；Humanities and Social Science Fund of Ministry of Education of the People's Republic of China (25YJA630041)。

摘要/Abstract

摘要： 集装箱港口能源与物流协同调度是推动港口可持续发展的重要抓手。为应对风光发电波动性，通过拉丁超立方抽样和k-means聚类方法生成风光出力随机场景，综合考虑船舶到港计划、港口作业设备状态、能源供需平衡及氢能集卡引入，以港口用能成本与碳排放成本最小化为目标，建立考虑条件风险价值（CVaR）的能源-物流协同调度模型。仿真结果表明：所提调度策略不仅不影响船舶靠离港时间，且显著降低系统运行成本29.65%和碳排放成本12%；引入氢能集卡有助于提升调度灵活性并降低运营成本，但当电氢能集卡配比高于1∶2时，氢能集卡的增加将不再带来成本效益；CVaR协同调度方法能够有效控制极端场景下运营成本风险，为港口实现可靠、经济且低碳的运营目标提供了科学依据。

关键词: 物流工程, 能源-物流协同调度, 条件风险值, 集装箱港口, 可持续发展

Abstract: The coordinated low-carbon scheduling of energy and logistics in container ports is a crucial measure for promoting sustainable port development. To address the volatility of wind and solar power generation, random scenarios for wind and solar output are generated using Latin hypercube sampling and k-means clustering methods. A coordinated energy-logistics scheduling model is developed considering vessel arrival schedules, the operational status of port equipment, the balance of energy supply and demand, and the introduction of hydrogen-powered container trucks. The objective of the model is minimizing the port's energy and carbon emission costs, incorporating Conditional Value at Risk (CVaR). The simulation results indicate that the proposed scheduling strategy not only avoids impacting vessel berthing and departure times but also significantly reduces system operating costs by 29.65% and carbon emission costs by 12%. The introduction of hydrogen-powered trucks enhances scheduling flexibility and lowers operational costs. However, when the ratio of electric to hydrogen-powered trucks reaches 1∶2, further increases in hydrogen trucks no longer yield cost benefits, at which point overall operational efficiency is maximized. The CVaR-based coordinated scheduling method can effectively control the risk of high operational costs in extreme scenarios, providing a scientific basis for ports to achieve reliable, economical, and low-carbon operations.

Key words: logistics engineering, energy-logistics co-scheduling, conditional value at risk, container port, sustainable development

中图分类号:

U169

许波桅, 杜尚炫, 李军军. 计及风光不确定性的集装箱港口能源-物流协同调度[J]. 交通运输系统工程与信息, 2026, 26(1): 295-304.

XU Bowei, DU Shangxuan, LI Junjun. Energy-Logistics Co-scheduling for Container Ports Considering Wind and Solar Power Uncertainty[J]. Journal of Transportation Systems Engineering and Information Technology, 2026, 26(1): 295-304.

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计及风光不确定性的集装箱港口能源-物流协同调度

Energy-Logistics Co-scheduling for Container Ports Considering Wind and Solar Power Uncertainty

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