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: Liza W. Y. Chua, Tegoeh Tjahjowidodo, Gerald G. L. Seet, Ricky Chan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8543797/
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spelling doaj-5b05976f6f544db6af553d87280d1c5b2021-03-29T21:39:57ZengIEEEIEEE Access2169-35362018-01-016743397435410.1109/ACCESS.2018.28833248543797Implementation of Optimization-Based Power Management for All-Electric Hybrid VesselsLiza W. Y. Chua0Tegoeh Tjahjowidodo1https://orcid.org/0000-0003-0074-5101Gerald G. L. Seet2Ricky Chan3School of Mechanical and Aerospace Engineering, Nanyang Technological University, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, SingaporeABB Oy, Helsinki, FinlandThe 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<inline-formula> <tex-math notation="LaTeX">$\backslash $ </tex-math></inline-formula>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&#x0025; as compared with improved rule-based strategy over one cycle of harbor tugboat operations, with the presence of available shore charging.https://ieeexplore.ieee.org/document/8543797/Power management systemenergy managementoptimizationhybrid power systemenergy storagebatteries
collection DOAJ
language English
format Article
sources DOAJ
author Liza W. Y. Chua
Tegoeh Tjahjowidodo
Gerald G. L. Seet
Ricky Chan
spellingShingle Liza W. Y. Chua
Tegoeh Tjahjowidodo
Gerald G. L. Seet
Ricky Chan
Implementation of Optimization-Based Power Management for All-Electric Hybrid Vessels
IEEE Access
Power management system
energy management
optimization
hybrid power system
energy storage
batteries
author_facet Liza W. Y. Chua
Tegoeh Tjahjowidodo
Gerald G. L. Seet
Ricky Chan
author_sort Liza W. Y. Chua
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
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
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<inline-formula> <tex-math notation="LaTeX">$\backslash $ </tex-math></inline-formula>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&#x0025; as compared with improved rule-based strategy over one cycle of harbor tugboat operations, with the presence of available shore charging.
topic Power management system
energy management
optimization
hybrid power system
energy storage
batteries
url https://ieeexplore.ieee.org/document/8543797/
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