Distributed Prescribed-Time Optimal Dispatch for Ship-Integrated Energy System With Environmental Awareness
In recent years, the shipping industry has undergone significant development, accompanied by substantial consumption of fossil resources. This article studies the energy dispatch problem of the ship-integrated energy system (S-IES) to improve environmental awareness. It aims to reduce carbon emissions, avoid unnecessary resource misallocation, and rely on fewer communication resources during the execution of its navigational duty. An energy dispatch model is designed to increase economic and environmental benefits. Secondly, a distributed optimal prescribed-time algorithm based on the event-triggered mechanism (D-PET) is proposed to search for energy dispatch solutions. It ensures a quick and accurate response to the fluctuating load demands of S-IES. In addition, D-PET eliminates the disadvantage of limited communication interaction resources among energy participants in S-IES. Finally, to validate the effectiveness of the proposed energy dispatch strategy, a simulated navigational duty is conducted using a training vessel on a route from Queensland Port to Victoria Port via New South Wales Port.
Authors
- Fei Teng (ORCID: https://orcid.org/0000-0002-8852-7469)
- Tieshan Li (ORCID: https://orcid.org/0000-0003-0474-953X)
- Yang Xiao (ORCID: https://orcid.org/0000-0001-8549-6794)
- Yuxin Zhang (ORCID: https://orcid.org/0000-0002-2587-5239)
- Wenjun Zhang (ORCID: https://orcid.org/0000-0001-5996-147X)
Institutions
- University of Electronic Science and Technology of China (CN)
- University of Alabama (US)
- Dalian Maritime University (CN)
Publication Details
- Journal
- IEEE Transactions on Network Science and Engineering
- Published
- 2025-09-17
- DOI
- https://doi.org/10.1109/tnse.2025.3611132
- Citations
- 1
- Primary Topic
- Maritime Transport Emissions and Efficiency
- Type
- article
- Field-Weighted Citation Impact
- 0.80