Integrated topology and power distribution optimization for the shipboard hybrid energy storage system via genetic algorithms and dynamic programming

IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL
Soon Ho Hong , Su Bin Choi , Min Young Jang , Sun Je Kim
{"title":"Integrated topology and power distribution optimization for the shipboard hybrid energy storage system via genetic algorithms and dynamic programming","authors":"Soon Ho Hong ,&nbsp;Su Bin Choi ,&nbsp;Min Young Jang ,&nbsp;Sun Je Kim","doi":"10.1016/j.oceaneng.2025.122095","DOIUrl":null,"url":null,"abstract":"<div><div>Recently, the shipping industry has accelerated the transition to electrified propulsion systems to improve fuel efficiency in response to strengthening environmental regulations. Ships experience nonlinear variations in power demand due to propulsion and hotel loads from onboard accommodations and equipment. To effectively manage fluctuating loads, it is essential to design propulsion systems integrated with Energy Storage Systems (ESS). However, ships have a larger physical scale than other mobility systems, single battery-based ESS is not sufficient to respond to changing loads. Accordingly, it is necessary to configure a hybrid energy storage system (HESS) that combines energy storage devices with different characteristics to secure optimal performance and reliability. This study proposes an efficient configuration and integrated power topology optimization method for HESS. To achieve this, a genetic algorithm (GA)-based sizing optimization and a dynamic programming (DP)-based load distribution optimization are applied. The results showed a 64 % reduction in weight and a 19 % reduction in energy loss through optimized battery-flywheel coordination. The optimization methodology of this study contributes to maximizing energy and operational efficiency and also improving lifespan of ESS and system stability of hybrid electric ship for various ship types.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122095"},"PeriodicalIF":4.6000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0029801825017792","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

Recently, the shipping industry has accelerated the transition to electrified propulsion systems to improve fuel efficiency in response to strengthening environmental regulations. Ships experience nonlinear variations in power demand due to propulsion and hotel loads from onboard accommodations and equipment. To effectively manage fluctuating loads, it is essential to design propulsion systems integrated with Energy Storage Systems (ESS). However, ships have a larger physical scale than other mobility systems, single battery-based ESS is not sufficient to respond to changing loads. Accordingly, it is necessary to configure a hybrid energy storage system (HESS) that combines energy storage devices with different characteristics to secure optimal performance and reliability. This study proposes an efficient configuration and integrated power topology optimization method for HESS. To achieve this, a genetic algorithm (GA)-based sizing optimization and a dynamic programming (DP)-based load distribution optimization are applied. The results showed a 64 % reduction in weight and a 19 % reduction in energy loss through optimized battery-flywheel coordination. The optimization methodology of this study contributes to maximizing energy and operational efficiency and also improving lifespan of ESS and system stability of hybrid electric ship for various ship types.
基于遗传算法和动态规划的舰载混合储能系统拓扑和配电综合优化
最近,航运业加快了向电气化推进系统的过渡,以提高燃油效率,以应对不断加强的环境法规。由于船上住宿和设备的推进和酒店负荷,船舶经历了非线性的电力需求变化。为了有效地管理波动负荷,必须设计与储能系统(ESS)相结合的推进系统。然而,船舶比其他移动系统具有更大的物理规模,基于单一电池的ESS不足以响应不断变化的负载。因此,有必要配置混合储能系统(HESS),将不同特性的储能设备组合在一起,以获得最优的性能和可靠性。本研究提出了一种高效的HESS配置与集成电源拓扑优化方法。为了实现这一目标,应用了基于遗传算法(GA)的尺寸优化和基于动态规划(DP)的负载分配优化。结果显示,通过优化电池-飞轮协调,重量减轻了64%,能量损失减少了19%。本研究的优化方法有助于实现能源和运行效率的最大化,并提高各种船型混合动力船舶的ESS寿命和系统稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ocean Engineering
Ocean Engineering 工程技术-工程:大洋
CiteScore
7.30
自引率
34.00%
发文量
2379
审稿时长
8.1 months
期刊介绍: Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信