A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization

Tang, R, Li, X and Lai, J 2018, 'A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization', Applied Energy, vol. 228, pp. 254-264.


Document type: Journal Article
Collection: Journal Articles

Title A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization
Author(s) Tang, R
Li, X
Lai, J
Year 2018
Journal name Applied Energy
Volume number 228
Start page 254
End page 264
Total pages 11
Publisher Elsevier
Abstract In the hybrid energy system of large green ships, different types of energy sources are employed to feed the electricity demand. An optimal energy-management model and control methodology must be developed to obtain operational safety and efficiency. In this study, optimal power-flow dispatching of maritime photovoltaic/battery/diesel/cold-ironing hybrid energy systems is proposed to sufficiently explore solar energy and minimize the ship's electricity cost. By modelling the constraints (such as power balance, solar output, diesel output, battery capacity, and regulations from the port) as penalty functions, the optimal energy-management is described as an unconstrained, large-scale, global optimization problem, which can be effectively solved by the proposed adaptive multi-context cooperatively coevolving particle swarm optimization algorithm. The proposed approach is verified by simulation for different cases. Results of the simulation show that the optimal energy-management of the evaluated system can be obtained with great electricity cost savings and robust control performance.
Subject Engineering not elsewhere classified
Keyword(s) Energy management
Green ship
Hybrid energy system
Intelligent ship
Solar energy
DOI - identifier 10.1016/j.apenergy.2018.06.092
Copyright notice © 2018 Elsevier Ltd. All rights reserved.
ISSN 0306-2619
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