Energy Management Strategy Considering Energy Storage System Degradation for Hydrogen Fuel Cell Ship

被引:14
作者
Cao, Wei [1 ]
Geng, Pan [1 ]
Xu, Xiaoyan [1 ]
Tarasiuk, Tomasz [2 ]
机构
[1] Shanghai Maritime Univ, Logist Engn Coll, Shanghai, Peoples R China
[2] Gdyn Maritime Univ, Gdynia, Poland
关键词
Hydrogen fuel cell ship; Energy management; Fuzzy PID; Equivalent energy consumption minimum; Energy storage system degradation;
D O I
10.2478/pomr-2023-0025
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A hybrid energy system (HES) including hydrogen fuel cell systems (FCS) and a lithium-ion (Li-ion) battery energy storage system (ESS) is established for hydrogen fuel cell ships to follow fast load transients. An energy management strategy (EMS) with hierarchical control is presented to achieve proper distribution of load power and enhance system stability. In the high-control loop, a power distribution mechanism based on a particle swarm optimization algorithm (PSO) with an equivalent consumption minimization strategy (ECMS) is proposed. In the low-level control loop, an adaptive fuzzy PID controller is developed, which can quickly restore the system to a stable state by adjusting the PID parameters in real time. Compared with the rule-based EMS, hydrogen consumption is reduced by 5.319%, and the stability of the power system is significantly improved. In addition, the ESS degradation model is developed to assess its state of health (SOH). The ESS capacity loss is reduced by 2% and the daily operating cost of the ship is reduced by 1.7% compared with the PSO-ECMS without considering the ESS degradation.
引用
收藏
页码:95 / 104
页数:10
相关论文
共 25 条
[1]   An Energy Efficient Solution for Fuel Cell Heat Recovery in Zero-Emission Ferry Boats: Deep Deterministic Policy Gradient [J].
Ahmadi, Hoda ;
Rafiei, Mehdi ;
Afshari Igder, Moseyeb ;
Gheisarnejad, Meysam ;
Khooban, Mohammad-Hassan .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (08) :7571-7581
[2]   Power Flow Approach for Modeling Shipboard Power System in Presence of Energy Storage and Energy Management Systems [J].
Balsamo, Flavio ;
De Falco, Pasquale ;
Mottola, Fabio ;
Pagano, Mario .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2020, 35 (04) :1944-1953
[3]   Stochastic Model Predictive Energy Management in Hybrid Emission-Free Modern Maritime Vessels [J].
Banaei, Mohsen ;
Boudjadar, Jalil ;
Khooban, Mohammad-Hassan .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (08) :5430-5440
[4]   A Comparative Analysis of Optimal Operation Scenarios in Hybrid Emission-Free Ferry Ships [J].
Banaei, Mohsen ;
Rafiei, Mehdi ;
Boudjadar, Jalil ;
Khooban, Mohammad-Hassan .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2020, 6 (01) :318-333
[5]   Energy Management of a Hybrid Tidal Turbine-Hydrogen Micro-Grid: Losses Minimization Strategy [J].
Barakat, M. ;
Tala-Ighil, B. ;
Chaoui, H. ;
Gualous, H. ;
Hissel, D. .
FUEL CELLS, 2020, 20 (03) :342-350
[6]   Optimal Sizing of Energy Storage Systems for Shipboard Applications [J].
Boveri, Alessandro ;
Silvestro, Federico ;
Molinas, Marta ;
Skjong, Espen .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (02) :801-811
[7]   Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship [J].
Chen, Hui ;
Zhang, Zehui ;
Guan, Cong ;
Gao, Haibo .
ENERGY, 2020, 197
[8]   Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles [J].
Chen, Jian ;
Xu, Chenfeng ;
Wu, Chengshuai ;
Xu, Weihua .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (01) :292-300
[9]   Coordination of Hybrid Energy Storage for Ship Power Systems With Pulsed Loads [J].
Faddel, Samy ;
Saad, Ahmed A. ;
Hariri, Mohamad El ;
Mohammed, Osama A. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (02) :1136-1145
[10]   STATE OF CHARGE ESTIMATION METHOD FOR LITHIUM-ION BATTERIES IN ALL-ELECTRIC SHIPS BASED ON LSTM NEURAL NETWORK [J].
Geng, Pan ;
Xu, Xiaoyan ;
Tarasiuk, Tomasz .
POLISH MARITIME RESEARCH, 2020, 27 (03) :100-108