Article(id=1240656099729264644, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240656096998773667, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.01.015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1703088000000, receivedDateStr=2023-12-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773725064450, onlineDateStr=2026-03-17, pubDate=1742832000000, pubDateStr=2025-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773725064450, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773725064450, creator=13701087609, updateTime=1773725064450, updator=13701087609, issue=Issue{id=1240656096998773667, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='1', pageStart='1', pageEnd='198', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773725063800, creator=13701087609, updateTime=1773725118083, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240656324749480238, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240656096998773667, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656324749480239, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240656096998773667, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=115, endPage=123, ext={EN=ArticleExt(id=1240656099972534293, articleId=1240656099729264644, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Hydrogen storage capacity configuration for port shore hybrid energy system based on SP-IGDT, columnId=1240655021705065434, journalTitle=Navigation of China, columnName=Port and Waterway Engineering, runingTitle=null, highlight=null, articleAbstract=

The use of diesel auxiliaries by ships during port calls causes a large amount of fossil energy consumption and pollutant emissions, and the use of shore power for energy supply is a good alternative. For the energy problem of shore power system, the article introduces a hybrid energy system composed of offshore wind turbines, shore power and hydrogen-based energy storage, and proposes a hydrogen-based energy storage planning model based on hybrid stochastic regularization-information gap decision theory. Aiming at the uncertainty of offshore wind turbine output, stochastic planning is used to get the time-sequence typical output scenario; for the difficulty of accurately portraying the probability distribution of shore power port call ship load and shore power price, IGDT is used to form a dual-objective model to deal with the uncertainty of the two as well as to introduce two different risky strategy planning models and analyze them by considering the seasonal factors. The results of the example show that the hybrid energy system can improve energy utilization and interaction, provide a planning basis for decision makers, and verify the effectiveness of the proposed model.

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船舶在靠港期间使用柴油辅机会造成大量化石能源消耗和污染物排放，利用岸电供能是很好的替代方案。针对岸电系统能源问题文章引入海上风机、岸电与氢基储能组成的混合能源系统，提出一种基于混合随机规化（SP）-信息间隙决策理论（IGDT）的氢基储能规划模型。针对海上风机出力不确定性，采用随机规划得到时序典型出力场景；针对岸电靠港船舶负荷和岸电价格概率分布难以准确刻画，采用IGDT形成双目标模型处理两者不确定性，以及引入两种不同风险策略规划模型和考虑季节性因素对其进行分析。算例结果表明，混合能源系统可提高能源利用率及互动性，为决策者提供规划依据，验证了所提模型的有效性。

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王树东（1965—），男，教授，硕士，研究方向为电网运行技术。E-mail: wang8s8d@163.com

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王树东（1965—），男，教授，硕士，研究方向为电网运行技术。E-mail: wang8s8d@163.com

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