|Table of Contents|

Joint optimization method of berth allocation and microgrid energy scheduling at port(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年5期
Page:
140-151
Research Field:
交通工程
Publishing date:

Info

Title:
Joint optimization method of berth allocation and microgrid energy scheduling at port
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)
Keywords:
traffic engineering;  energy scheduling;  dung beetle algorithm;  port microgrid;  berth allocation
PACS:
U691
DOI:
10.19721/j.cnki.1671-8879.2025.05.012
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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Last Update: 2025-09-30