Bilayered Real-Time Energy Management Strategy for Hybrid Power Systems in Hydrogen Fuel Cell Vessels

被引:1
|
作者
Zeng, Yuji [1 ]
Zhang, Qinjin [1 ]
You, Shi [2 ]
Liu, Yancheng [1 ]
Iu, Herbert H. C. [3 ]
Guo, Haohao [1 ]
Liu, Siyuan [1 ]
机构
[1] Dalian Maritime Univ, Coll Marine Engn, Dalian 116026, Peoples R China
[2] Tech Univ Denmark, Dept Elect Engn, DK-2800 Kongens Lyngby, Denmark
[3] Univ Western Australia, Sch Engn, Perth, WA 6009, Australia
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2024年 / 10卷 / 04期
基金
中国国家自然科学基金;
关键词
Optimization; Energy management; Resource management; Hydrogen; Transportation; Real-time systems; Navigation; Bus voltage regulation; energy management strategy (EMS); fuel cell vessel (FCV); hybrid power system (HPS); power allocation; COOPERATIVE CONTROL STRATEGY; SHIPBOARD MICROGRIDS; VOLTAGE RESTORATION; DROOP CONTROL; OPTIMIZATION; STORAGE;
D O I
10.1109/TTE.2024.3422500
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Existing energy management strategies (EMSs) for hybrid power systems (HPSs) in hydrogen fuel cell vessels (FCVs) are not applicable to scenarios with multiple hydrogen fuel cells (FCs) and lithium batteries (LBs) in parallel and are difficult to achieve real-time control and optimization for multiple objectives. In this article, a bilayer real-time energy management strategy (BLRT-EMS) is proposed. Compared with existing EMSs, the proposed BLRT-EMS implements different control/optimization objectives distributed in the execution layer EMS (EL-EMS) and the decision layer EMS (DL-EMS), which can significantly reduce bus voltage fluctuations, decrease hydrogen consumptions, improve the system efficiency, and have potential for engineering applications. In the first EL-EMS, a decentralized optimal power allocation strategy is proposed, which allows each FC system (FCS) to allocate the output power ratio according to their generation costs, ensuring consistent performance of multiple FCSs (MFCSs) under long-term operating conditions, and thus delaying the degradation rate of FCs. In the second EL-EMS, a distributed cooperative control strategy is proposed to achieve dynamic state-of-charge (SoC) equalization, proportional output power allocation, and accurate bus voltage restoration among multiple battery storage systems (MBSSs) to extend the service life of batteries. In the DL-EMS, an energy coordination optimization strategy between MFCS and MBSS is proposed to achieve hydrogen consumption reduction and system efficiency improvement, thus enhancing the endurance performance of FCV. Finally, the test results based on the StarSim experimental platform show that the proposed BLRT-EMS has faster SoC convergence speed, smaller bus voltage deviation, lower hydrogen consumption, higher system efficiency, and lower operation stress than the state-of-the-art methods.
引用
收藏
页码:7954 / 7970
页数:17
相关论文
共 50 条
  • [41] Control and real-time optimization of an automotive hybrid fuel cell power system
    Dalvi, A.
    Guay, M.
    CONTROL ENGINEERING PRACTICE, 2009, 17 (08) : 924 - 938
  • [42] Real time power management strategy for fuel cell hybrid electric bus based on Lyapunov stability theorem
    Liu, Zhao
    Zhao, Jin
    Qin, Yangjun
    Wang, Guangwei
    Shi, Qing
    Wu, Jiayong
    Yang, He
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2022, 47 (85) : 36216 - 36231
  • [43] A real-time energy management control strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles
    Zhang, Qiao
    Wang, Lijia
    Li, Gang
    Liu, Yan
    JOURNAL OF ENERGY STORAGE, 2020, 31
  • [44] Generic Real-Time Modeling of Solid Oxide Fuel Cell Hybrid Systems
    Ghigliazza, Francesco
    Traverso, Alberto
    Massardo, Aristide F.
    Wingate, John
    Ferrari, Mario
    JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY, 2009, 6 (02): : 0213121 - 0213127
  • [45] Optimal predictive power management strategy for fuel cell electric vehicles using neural networks in real-time
    Ali, Ahmed M.
    Yacoub, Mostafa, I
    2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2020,
  • [46] Real-time energy management strategy for flexible traction power supply system
    Zhang, Shanshan
    Yang, Shaobing
    He, Tingting
    Liu, Qiujiang
    Wu, Mingli
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 156
  • [47] Adaptive real-time congestion management in smart power systems using a real-time hybrid optimization algorithm
    Esfahani, Mohammad Mahmoudian
    Sheikh, Ahmed
    Mohammed, Osama
    ELECTRIC POWER SYSTEMS RESEARCH, 2017, 150 : 118 - 128
  • [48] Energy Management Strategy of Fuel Cell/Battery/Supercapacitors Hybrid Storage System Based on Adaptive Real-Time Wavelets-Fuzzy Logic
    Zhao, Ganglei
    Liu, Changxing
    Li, Xiang
    Zhang, Huiliu
    Li, Po
    IFAC PAPERSONLINE, 2024, 58 (29): : 373 - 378
  • [49] An energy management strategy for fuel cell hybrid electric vehicle based on a real-time model predictive control and pontryagin's maximum principle
    Gao, Haiyu
    Yin, Bifeng
    Pei, Yixiao
    Gu, Hao
    Xu, Sheng
    Dong, Fei
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2024, 21 (11) : 2640 - 2652
  • [50] Energy management strategy for hybrid fuel cell vehicle
    da Fonseca, Ramon
    Bideaux, Eric
    Jeanneret, Bruno
    Gerard, Mathias
    Desbois-Renaudin, Matthieu
    Sari, Ali
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2012, : 485 - 490