Distributed Energy Management for Ship-Integrated Energy System Under Marine Environmental Risk Field

Yuxin Zhang, Yang Xiao () and Tieshan Li
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Yuxin Zhang: Navigation College, Dalian Maritime University, Dalian 116026, China
Yang Xiao: Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA
Tieshan Li: School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Energies, 2025, vol. 18, issue 15, 1-25

Abstract: To reduce carbon emissions in the shipping industry, the energy management problem of the ship-integrated energy system (S-IES) is analyzed in this paper. Firstly, a marine environmental risk field model is constructed to quantify the degree of hazard when designing the sailing route. Meanwhile, an energy management model that considers both economic and environmental benefits is developed to enhance the penetration rate of renewable resources. Subsequently, a distributed energy management algorithm based on finite-time consensus theory is proposed to ensure a rapid and accurate response to load demand. Moreover, a mathematical analysis is provided to demonstrate the algorithm’s effectiveness. Finally, the sea area between Singapore Port (Singapore) and Penang Port (Malaysia) is chosen as the simulation environment. The experimental results demonstrate the effectiveness of energy management for the S-IES.

Keywords: ship-integrated energy system; distributed optimization; energy management; marine environmental risk analysis (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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