船舶综合能源系统分布式优化运行算法研究

doi:10.16411/j.cnki.issn1006-7736.2025.03.001

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大连海事大学学报 ›› 2025, Vol. 51 ›› Issue (3) : 1-10. DOI: 10.16411/j.cnki.issn1006-7736.2025.03.001

船舶综合能源系统分布式优化运行算法研究

张裕欣^a，章文俊*^a,b，单麒赫^a，孟祥坤^a,b

作者信息 +

Research on distributed optimal scheduling algorithm for ship integrated energy system

ZHANG Yuxin^a，ZHANG Wenjun^*a,b，SHAN Qihe^a，MENG Xiangkun^a,b

Author information +

文章历史 +

摘要

为降低航运业温室气体排放，提升新能源渗透率，保证船舶航行期间负荷需求的快速、准确响应，提出一种船舶综合能源系统分布式优化运行算法。首先，基于船舶航行特征，构建了一种可兼顾船舶航行经济效益与环境效益的优化运行调度模型；其次，基于多智能体预设时间一致性理论，提出一种分布式优化运行算法，并对其收敛性能、预设时间性能进行理论分析；最后，以新加坡至槟城港航线为例进行仿真实验。算例结果表明：提出的优化运行算法性能优异，在确保计算准确性和收敛快速性的同时，在运行成本节约、碳减排等方面的提升最大值分别为8.21%和12.99%，可较好地满足船舶航行期间的能源需求，为船舶航行作业提供持续且高质量的能源供应。

Abstract

To reduce carbon emissions and increase the utilization of renewable resources, a distributed optimal scheduling algorithm for the ship integrated energy system is proposed to ensure the quick, accurate response to the load demands. Firstly, an optimal scheduling model considering economic and environmental benefits is constructed based on the sailing features. Then, a distributed optimal scheduling algorithm is proposed with the combination of prescribed-time consensus and multi-agent theory. Moreover, the converge and prescribed time performances are analyzed theoretically. Finally, simulation results designed for a sailing route from Singapore to Penang show that the proposed strategy performs better in calculation accuracy and efficiency. Moreover, it saves 8.21% on operation costs and decreases 12.99% in carbon emissions, which meets the energy consumption requirements during sailing and continuously provides a high-quality energy supply.

导出引用

张裕欣, 章文俊, 单麒赫, 孟祥坤. 船舶综合能源系统分布式优化运行算法研究[J]. 大连海事大学学报. 2025, 51(3): 1-10 https://doi.org/10.16411/j.cnki.issn1006-7736.2025.03.001

ZHANG Yuxin, ZHANG Wenjun, SHAN Qihe, MENG Xiangkun. Research on distributed optimal scheduling algorithm for ship integrated energy system[J]. Journal of Dalian Maritime University. 2025, 51(3): 1-10 https://doi.org/10.16411/j.cnki.issn1006-7736.2025.03.001

参考文献

[1]减污降碳协同增效实施方案[EB/OL].（2022-06-10）.https://www.gov.cn/gongbao/content/2022/content_5707285.htm.

Implementation plan for synergizing reduction of pollution and carbon emission[EB/OL].（2022-06-10）[2024-12-26]. https://www.gov.cn/gongbao/content/2022/content_5707285.htm. (in Chinese)

[2]谭韬,王丽铮,张伟.船舶能耗模型构建及清洁能源适用性分析[J].舰船科学技术,2023,45(1):135-140.

TAN T, WANG L Z, ZHANG W. Ship energy consumption model construction and clean energy applicability analysis[J].Ship Science and Technology, 2023, 45(1):135-140.(in Chinese)

[3]滕菲,单麒赫,李铁山.智能船舶综合能源系统及其分布式优化调度方法[J].自动化学报,2020,46(9):1809-1817.

TENG F, SHAN Q H, LI T S. Intelligent ship integrated energy system and its distributed optimal scheduling algorithm[J]. ACTA AUTOMATICA SINICA, 2020, 46(9):1809-1817. (in Chinese)

[4]周荔丹,许健,姚钢,等.船舶综合能源管理系统研究综述[J].电力系统保护与控制,2022,50(13):171-186.

ZHOU L D, XU J, YAO G, et al. Review of integrated energy management systems for a marine microgrid[J]. Power System Protection and Control, 2022, 50(13):171-186. (in Chinese)

[5]KANELLOS F D, TSEKOURAS G J, HATZIARGYRIOU N D. Optimal demand-side management and power generation scheduling in an all-electric ship[J]. IEEE Transactions on Sustainable Energy, 2014, 5(4):1166-1175.

[6]WEN S L, ZHAO T Y, TANG Y, et al. A joint photovoltaic-dependent navigation routing and energy storage system sizing scheme for more efficient all electric ships[J]. IEEE Transactions on Transportation Electrification, 2020, 6(3):1279-1289.

[7]IMO Strategy on reduction of GHG emissions from ships[EB/OL](2023-07-07)[2024-12-26].https://wwwcdn.imo.org/localresources/en/OurWork/Environment/Documents/annex/MEPC%2080/Annex%2015.pdf.

[8]IMO’s work to cut GHG emissions from ships [EB/OL](2025-02-21)[2025-02-25].https://www.imo.org/en/MediaCentre/HotTopics/Pages/Cutting-GHG-emissions.aspx.

[9]范爱龙, 涂小龙, 吴洁, 等. 船舶能效知识图谱构建与研究现状分析[J]. 中国航海, 2022,45(4):117-128.

FAN A L, TU X L, WU J, et al. Constructing of knowledge graph in ship energy efficiency and analysis of the graph[J]. Navigation of China, 2022, 45(4):117-128. (in Chinese)

[10]佟佳洋,凌黎华.欧盟碳排放交易体系产生的影响及我国的对策分析[J].中国海事,2021(5):65-67.

TONG J Y, LING L H. Analysis on the influence of EU carbon emission trading system and the associated countermeasures of China[J]. China Maritime Safety, 2021 (5):65-67. (in Chinese)

[11]ZHANG Y X, XIAO Y, TENG F, et al. Distributed energy management method with EEOI limitation for the ship-integrated energy system[J]. IEEE Systems Journal, 2024, 18(2):1332-1343.

[12]黄博南,王勇,李玉帅,等.基于分布式神经动态优化的综合能源系统多目标优化调度[J].自动化学报,2022,48(7):1718-1736.

HUANG B N, WANG Y, LI Y S, et al. Multi-objective optimal scheduling of integrated energy systems based on distributed neurodynamic optimization[J]. ACTA AUTOMATICA SINICA, 2022,48(7):1718-1736. (in Chinese)

[13]张裕欣,滕菲,李铁山,等.网络攻击下船舶综合能源系统弹性能源管理策略研究[J/OL].中国舰船研究(2025-02-22).https://doi.org/10.19693/j.issn.1673-3185.04002.

ZHANG Y X, TENG F, LI T S, et al. Research on resilient energy management strategy for ship integrated energy system[J/OL]. Chinese Journal of Ship Research(2025-02-22). https://doi.org/10.19693/j.issn.1673-3185.04002. (in Chinese)

[14]孙秋野,刘广亮,王一帆.能源互联网中能源终端的研究综述及展望[J/OL].电网技术(2024-12-19)[2025-02-21].https//doi.org/10.13335/j.1000-3673.pst.2024.1586.

SUN Q Y, LIU G L, WANG Y F. Review and prospect of energy terminal in Energy Internet[J/OL]. Power System Technology(2024-12-19)[2025-02-21]. https//doi.org/10.13 335/j.1000-3673.pst.2024.1586. (in Chinese)

[15]朱士高.基于预设时间一致性的智能电网经济调度优化策略研究[D].南京：南京邮电大学,2022.doi:10.27251/d.cnki.gnjdc.2022.001620.

ZHU S G. Prescribed time consensus optimal strategy for economic dispatching of smart grid[D].Nanjing：Nanjing University of Posts and Telecommunications, 2022. doi:10.27251/d.cnki.gnjdc.2022.001620. (in Chinese)

[16]KANELLOSF D. Optimal power management with GHG emissions limitation in all-electric ship power systems comprising energy storage systems[J]. IEEE Transactions on Power Systems, 2014, 29(1)：330-339.

[17]ZHANG Y X, XIAO Y, TENG F, et al. Distributed energy management for ship-integrated energy system: secure and green sailing[J/OL]. IEEE Transactions on Transportation Electrification.(2025-02-03).https//doi. org/10.110 9/TTE.2025.3537897.

[18]刘振博,林慕义,陈勇,等.复合储能式装载机动态规划能量管理策略仿真[J].重庆理工大学学报(自然科学版),2024,38(11):213-220.

LIU Z B, LIN M Y, CHEN Y, et al. Simulation of dynamic programming energy management strategy for composite storage loaders[J]. Journal of Chongqing University of Technology (Natural Science), 2024, 38(11): 213-220. (in Chinese)

[19]TENG F, ZHANG Y X, YANG T K, et al. Distributed optimal energy management for We-Energy considering operation security[J]. IEEE Transactions on Network Science and Engineering, 2024, 11(1): 225-235.