Implementation of optimization-based power management for all-electric hybrid vessels

The increasing concern in environmental impacts contributed by the shipping industry leads to a growing interest toward incorporating sustainable energy sources to conventional power systems, to reduce fuel consumption and emissions. However, such advance power system architectures tend to face grea...

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Main Authors: Tjahjowidodo, Tegoeh, Seet, Gerald Gim Lee, Chan, Ricky, Chua, Liza Wan Yuan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/103403
http://hdl.handle.net/10220/47294
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1034032023-03-04T17:20:10Z Implementation of optimization-based power management for all-electric hybrid vessels Tjahjowidodo, Tegoeh Seet, Gerald Gim Lee Chan, Ricky Chua, Liza Wan Yuan School of Mechanical and Aerospace Engineering Energy Management DRNTU::Engineering::Mechanical engineering Power Management System The increasing concern in environmental impacts contributed by the shipping industry leads to a growing interest toward incorporating sustainable energy sources to conventional power systems, to reduce fuel consumption and emissions. However, such advance power system architectures tend to face greater challenges in optimal power allocation due to the increased flexibility to split the load among multiple power sources and diversified operations of different vessel types. To address the power management challenges, in this paper, an instantaneous optimization-based approach is proposed for an all-electric hybrid power system, which adopts the equivalent consumption minimization strategy (ECMS). First, the dynamic models of the all-electric hybrid power system are formulated in MATLAB ∖ Simulink and validated on a laboratory-scaled hybrid power system testbed. The power management problem is then formulated using ECMS approach, and a multi-level power management framework is proposed to integrate ECMS solution for practical implementation on an all-electric hybrid vessel. Finally, the feasibility of the proposed approach is validated on a full-scale setup identical to an actual all-electric hybrid vessel with dc distribution in MARINTEK, Trondheim, Norway. The performance of ECMS is also benchmarked against an improve rule-based strategy. The experimental results demonstrated that ECMS can achieve a substantial fuel savings of up to 24.4% as compared with improved rule-based strategy over one cycle of harbor tugboat operations, with the presence of available shore charging. Published version 2019-01-02T03:38:36Z 2019-12-06T21:11:54Z 2019-01-02T03:38:36Z 2019-12-06T21:11:54Z 2018 Journal Article Chua, L. W. Y., Tjahjowidodo, T., Seet, G. G. L., & Chan, R. (2018). Implementation of optimization-based power management for all-electric hybrid vessels. IEEE Access, 6, 74339-74354. doi:10.1109/ACCESS.2018.2883324 https://hdl.handle.net/10356/103403 http://hdl.handle.net/10220/47294 10.1109/ACCESS.2018.2883324 en IEEE Access © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 16 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Energy Management
DRNTU::Engineering::Mechanical engineering
Power Management System
spellingShingle Energy Management
DRNTU::Engineering::Mechanical engineering
Power Management System
Tjahjowidodo, Tegoeh
Seet, Gerald Gim Lee
Chan, Ricky
Chua, Liza Wan Yuan
Implementation of optimization-based power management for all-electric hybrid vessels
description The increasing concern in environmental impacts contributed by the shipping industry leads to a growing interest toward incorporating sustainable energy sources to conventional power systems, to reduce fuel consumption and emissions. However, such advance power system architectures tend to face greater challenges in optimal power allocation due to the increased flexibility to split the load among multiple power sources and diversified operations of different vessel types. To address the power management challenges, in this paper, an instantaneous optimization-based approach is proposed for an all-electric hybrid power system, which adopts the equivalent consumption minimization strategy (ECMS). First, the dynamic models of the all-electric hybrid power system are formulated in MATLAB ∖ Simulink and validated on a laboratory-scaled hybrid power system testbed. The power management problem is then formulated using ECMS approach, and a multi-level power management framework is proposed to integrate ECMS solution for practical implementation on an all-electric hybrid vessel. Finally, the feasibility of the proposed approach is validated on a full-scale setup identical to an actual all-electric hybrid vessel with dc distribution in MARINTEK, Trondheim, Norway. The performance of ECMS is also benchmarked against an improve rule-based strategy. The experimental results demonstrated that ECMS can achieve a substantial fuel savings of up to 24.4% as compared with improved rule-based strategy over one cycle of harbor tugboat operations, with the presence of available shore charging.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Tjahjowidodo, Tegoeh
Seet, Gerald Gim Lee
Chan, Ricky
Chua, Liza Wan Yuan
format Article
author Tjahjowidodo, Tegoeh
Seet, Gerald Gim Lee
Chan, Ricky
Chua, Liza Wan Yuan
author_sort Tjahjowidodo, Tegoeh
title Implementation of optimization-based power management for all-electric hybrid vessels
title_short Implementation of optimization-based power management for all-electric hybrid vessels
title_full Implementation of optimization-based power management for all-electric hybrid vessels
title_fullStr Implementation of optimization-based power management for all-electric hybrid vessels
title_full_unstemmed Implementation of optimization-based power management for all-electric hybrid vessels
title_sort implementation of optimization-based power management for all-electric hybrid vessels
publishDate 2019
url https://hdl.handle.net/10356/103403
http://hdl.handle.net/10220/47294
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