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

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%.

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Publication Details

Journal
Energies
Published
2025-10-08
DOI
https://doi.org/10.3390/en18195305
Citations
2
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
1.60
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article

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

Shaoping Chang, Xinyu Wang, F.J. Jing, Y. C. Zhang
2 citations
Energies
Maritime Transport Emissions and Efficiency
1.60
article

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

Shaoping Chang, Xinyu Wang, F.J. Jing, Y. C. Zhang
article en
2 citations

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%.

EnergiesVol. 18(19)
Yanshan University (CN), Zhejiang Medicine (China) (CN)
Openalex Percentile: Top 15%
Maritime Transport Emissions and Efficiency
1.60
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A Capacity Optimization Method of Ship Integrated Power System Based on Comprehensive Scenario Planning: Considering the Hydrogen Energy Storage System and Supercapacitor — Shaoping Chang, Xinyu Wang, et al. · Energies (2025) | TGRS Research Map | TGRS