[1]徐先峰,白新禾,王俊哲,等.港口泊位分配与微电网能量调度联合优化方法[J].长安大学学报(自然科学版),2025,45(5):140-151.[doi:10.19721/j.cnki.1671-8879.2025.05.012]
　XU Xian-feng,BAI Xin-he,WANG Jun-zhe,et al.Joint optimization method of berth allocation and microgrid energy scheduling at port[J].Journal of Chang’an University (Natural Science Edition),2025,45(5):140-151.[doi:10.19721/j.cnki.1671-8879.2025.05.012]
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港口泊位分配与微电网能量调度联合优化方法()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第45卷
期数:
2025年5期
页码:
140-151
栏目:
交通工程
出版日期:
2025-09-30

文章信息/Info

Title:
Joint optimization method of berth allocation and microgrid energy scheduling at port
文章编号:
1671-8879(2025)05-0140-12
作者:
徐先峰; 白新禾; 王俊哲; 卢勇; 李陇杰; 鲁婉琪; 李芷菡
(长安大学 能源与电气工程学院,陕西 西安 710064)
Author(s):
XU Xian-feng;  BAI Xin-he;  WANG Jun-zhe;  LU Yong;  LI Long-jie;  LU Wan-qi;  LI Zhi-han
(School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
关键词:
交通工程;  能量调度;  蜣螂算法;  港口微电网;  泊位分配
Keywords:
traffic engineering;  energy scheduling;  dung beetle algorithm;  port microgrid;  berth allocation
分类号:
U691
DOI:
10.19721/j.cnki.1671-8879.2025.05.012
文献标志码:
A
摘要:
港口能源系统与物流系统的联系愈加紧密,提出一种基于改进蜣螂算法,对泊位分配与微电网能量调度进行联合优化,旨在提升港口运作的效率和经济性。针对现有研究中常忽视船舶等待时长的问题,在目标函数中考虑船舶等待与停泊期间产生的物流成本约束,在优化泊位资源的同时,提高船舶靠港效率。考虑到泊位分配对负荷在时间与空间上的影响,联合优化方法引入电网分时电价机制,协调负荷波动,实现削峰填谷。为提升优化效果,对传统蜣螂算法进行改进,结合Levy飞行策略、T分布扰动与灰狼捕食机制,在提高全局寻优能力的同时加快算法的收敛速度。以天津某港口为案例进行建模分析,通过设置3种典型方案进行优化结果对比。研究结果表明:联合优化方法的总运行成本相较于不含能量调度的方案1降低了8.02%,较独立泊位优化的方案2降低了9.73%; 联合优化方法引入增加船舶等待时长,使负荷调控能力与能量经济性表现更为突出,显示出良好的整体成本控制效果; 该联合优化方法将泊位计划与微电网调度相结合,有助于在保障港口运行效率的基础上,提升能源利用的协调性与经济性,为港口运行成本的优化提供可行方案。
Abstract:
The connection between port energy system and logistics system is becoming increasingly close. This article proposed a joint optimization of berth allocation and microgrid energy scheduling based on an improved beetle algorithm, aiming to improve the efficiency and economy of port operation. In response to the issue that ship waiting time often overlooked in existing research, this paper considers the logistics cost constraints generated during ship waiting and berthing in the objective function, thereby optimizing berth resources while improving ship berthing efficiency. Considering the impact of berth allocation on load in time and space, the model also introduced a time of use electricity pricing mechanism to coordinate load fluctuation and achieve peak shaving and valley filling. To improve the optimization effect, this article improved the traditional beetle algorithm by combining Levy flight strategy, T-distribution perturbation, and grey wolf predation mechanism, which not only enhances the global optimization ability but also accelerates the convergence speed of the algorithm. Taking a port in Tianjin as a case study, modeling analysis was conducted by comparing three typical schemes. The results show that the total operating cost of the scheme by the joint optimization method reduces by 8.02% compared to Scheme 1 without energy scheduling, and by 9.73% compared to Scheme 2 with independent berth optimization. The introduction of joint optimization method increases the waiting time of ships, making the load regulation capability and energy economy performance more prominent, demonstrating a good overall cost control effect. This joint scheduling model combines berth planning with microgrid scheduling, which helps to improve the coordination and economy of energy utilization resulting in ensuring the efficiency of port operation, and provides a feasible solution for optimizing port operating cost.5 tabs, 14 figs, 24 refs.

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备注/Memo

备注/Memo:
收稿日期:2025-02-23
基金项目:国家重点研发计划项目(2021YFB2601300); 中央高校基本科研业务费专项资金项目(300102383203)
作者简介:徐先峰(1982-),男,山东泰安人,教授,工学博士,E-mail:xxf_chd@163.com。
更新日期/Last Update: 2025-09-30