Robustly coordinated operation of a ship microgird with hybrid propulsion systems and hydrogen fuel cells

被引:38
作者
Fan, Feilong [1 ]
Aditya, Venkataraman [3 ]
Xu, Yan [2 ]
Cheong, Benjamin [1 ]
Gupta, Amit K. [3 ]
机构
[1] Nanyang Technol Univ, Rolls Royce NTU Corp Lab, 50 Nanyang Ave, Singapore 639798, Singapore
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[3] Rolls Royce Singapore Pte Ltd, 1 Seletar Aerosp Crescent, Singapore 797565, Singapore
关键词
Ship microgrid; Coordinated operation; Hybrid propulsion system; Hydrogen fuel cell; Robust optimization; ENERGY MANAGEMENT; POWER MANAGEMENT; DEGRADATION; OPTIMIZATION; STORAGE; MODEL;
D O I
10.1016/j.apenergy.2022.118738
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
ABSTR A C T Increasing global greenhouse gas (GHG) emissions call for new operation strategies towards low-carbon marine transportation. This paper proposes a coordinated operation strategy for a ship micorgird with hybrid propulsion systems (HPSs) to minimize the whole-voyage operation cost within GHG emission limitations. Hydrogen fuel cells are integrated to the ship microgrid for further reduction of GHG emissions. Purchase costs of fuel, hydrogen and electricity and degradation costs of fuel cells (FCs) and batteries are considered in the calculation of whole-voyage operation cost. The proposed coordinated operation strategy consists of two stages. At the pre-voyage scheduling stage, the amount of purchased fuel, hydrogen and electricity, the power of diesel engines (DEs) and FCs, the charging/discharging states of batteries and the motor/shaft-generator modes of electric machines (EMs) are formulated to minimize the whole-voyage operation cost under the worst case of uncertain propulsion and auxiliary power. At the intra-voyage operation stage, power of batteries and EMs is optimized according to the short-leading-time prediction of propulsion and auxiliary power. Above coordinated operation strategy is formulated as a two-stage robust optimization model and solved by a two-level column-and-constraint-genera-tion (C&CG) algorithm. Numerical simulations based on a practical voyage are carried out to validate the effectiveness of proposed strategy.
引用
收藏
页数:14
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