A Capacity Optimization Method of Ship Integrated Power System Based on Comprehensive Scenario Planning: Considering the Hydrogen Energy Storage System and Supercapacitor

Fanzhen Jing, Xinyu Wang, Yuee Zhang () and Shaoping Chang
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Fanzhen Jing: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Xinyu Wang: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Yuee Zhang: Pujiang CJLU Gongxing Industrial Design Research Co., Ltd., Hangzhou 322299, China
Shaoping Chang: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2025, vol. 18, issue 19, 1-31

Abstract: Environmental pollution caused by shipping has always received great attention from the international community. Currently, due to the difficulty of fully electrifying medium- and large-scale ships, the hybrid energy ship power system (HESPS) will be the main type in the future. Considering the economic and long-term energy efficiency of ships, as well as the uncertainty of the output power of renewable energy units, this paper proposes an improved design for an integrated power system for large cruise ships, combining renewable energy and a hybrid energy storage system. An energy management strategy (EMS) based on time-gradient control and considering load dynamic response, as well as an energy storage power allocation method that considers the characteristics of energy storage devices, is designed. A bi-level power capacity optimization model, grounded in comprehensive scenario planning and aiming to optimize maximum return on equity, is constructed and resolved by utilizing an improved particle swarm optimization algorithm integrated with dynamic programming. Based on a large-scale cruise ship, the aforementioned method was investigated and compared to the conventional planning approach. It demonstrates that the implementation of this optimization method can significantly decrease costs, enhance revenue, and increase the return on equity from 5.15% to 8.66%.

Keywords: hybrid energy ship integrated power system; hybrid energy storage system; hydrogen energy storge; return on equity; renewable energy uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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