考虑耐久可靠性的船舶电力系统混合储能功率管理策略

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  • 1. 同济大学 交通学院,上海 201804;2. 上海船舶设备研究所,上海200031; 3. 电磁能技术全国重点实验室,上海 200031; 4. 浙江大学 电气工程学院,杭州310027;5. 上海大学 机电工程与自动化学院,上海200444
丁峰(1993—),高级工程师,从事船舶电站、数字化、智能化方面研究。
马永吉,博士生;E-mail:mijiu8@zju.edu.cn。

网络出版日期: 2026-07-08

Power Management Strategy for Hybrid Energy Storage Systems in Ship Power Systems Considering Durability and Reliability

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  • 1. College of Transportation, Tongji University, Shanghai 201804, China; 2. Shanghai Marine Equipment Research Institute, Shanghai 200031, China; 3. National Key Laboratory of Electromagnetic Energy Technology, Shanghai 200031, China; 4. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 5. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China

Online published: 2026-07-08

摘要

为应对推进负载和脉冲负载等船舶特殊负载运行特性复杂、功率波动剧烈的问题,配置混合储能系统已成为提升船舶电力系统整体性能的有效途径。然而,现有的混合储能功率管理策略多依赖于固定的阈值或分界频率进行高、低频功率的简单划分。这种方法难以适应船舶负载的动态变化特性,易导致高频功率分量涌入能量型储能单元,或使功率型储能单元承担过多低频能量,不仅无法充分发挥二者互补优势,还会加速储能系统寿命衰减,最终制约船舶电力系统在长期航行中的耐久性与运行经济性。为此,本文提出考虑耐久可靠性的船舶电力系统多时间尺度功率管理策略。首先,在长时间尺度构建了基于发电机组与混合储能系统续航能力的多目标优化模型,并采用非支配排序算法求解出二者之间的最优功率分配策略,以提升船舶电力系统长时间尺度运行的耐久性。在短时间尺度,针对基于分界线的混合储能系统内功率分配局限性,提出了一种基于变分模态分解的自适应分界域功率分配策略,将长时间尺度优化出的混合储能系统总功率结合瞬时扰动功率,分解重构为高、中、低频,其中高频功率由超级电容承担,低频由蓄电池承担,而中频由二者共同承担,以提高混合储能系统功率分配的合理性,延长储能的使用寿命。最后,通过仿真分析验证了所提策略在提升船舶电力系统运行耐久性、可靠性和经济效益方面的有效性。

本文引用格式

丁峰1, 2, 3, 黄佳其2, 3, 马永吉4, 薛敏涓2, 3, 郭慧5, 康劲松1 . 考虑耐久可靠性的船舶电力系统混合储能功率管理策略[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2025.398

Abstract

To address the challenges posed by the unique characteristics of ship-specific loads, such as propulsion and pulsed loads, the configuration of a hybrid energy storage system (HESS) has become an effective approach to enhance the performance of ship power systems. However, existing hybrid energy storage power management strategies (PMS) rely on fixed thresholds or cutoff frequencies to separate high- and low-frequency power components, making them difficult to adapt to dynamic ship load variations. This often leads to improper power sharing between energy-type and power-type storage units, accelerating system degradation and ultimately limiting the durability and economic performance of ship power systems. Therefore, this paper proposes a multi-time scale power management strategy for ship power systems considering durability and reliability. First, a multi-objective optimization model based on the endurance of generators and the HESS is constructed on a long-time scale, and the non-dominated sorting algorithm is employed to solve the proposed model, which improves the durability of ship power systems. To overcome the limitations of traditional boundary line-based PMS, an adaptive boundary domain PMS based on variational mode decomposition is proposed at the short-time scale. This strategy decomposes the HESS power into high-, medium-, and low-frequency components. The high-frequency component is allocated to the supercapacitor, the low-frequency component to the battery, and the medium-frequency component is shared by both, enhancing the rationality of power distribution and extending the service life of the energy storage units. Finally, simulation results verify the effectiveness of the proposed strategy in improving the operational durability, reliability, and economy of the ship power systems.
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