Article(id=1309639670053560654, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1309639664567415657, articleNumber=null, orderNo=null, doi=10.19620/j.cnki.1000-3703.20250867, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1768060800000, revisedDateStr=2026-01-11, acceptedDate=null, acceptedDateStr=null, onlineDate=1790172029269, onlineDateStr=2026-09-23, pubDate=1774281600000, pubDateStr=2026-03-24, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790172029269, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790172029269, creator=13701087609, updateTime=1790172029269, updator=13701087609, issue=Issue{id=1309639664567415657, tenantId=1146029695717560320, journalId=1189621681917173762, year='2026', volume='', issue='3', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1774281600000', pubDateStr='2026-03-24', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790172027961, creator='13701087609', updateTime=1790232938103, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309895140290945772, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1309639664567415657, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309895140290945773, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1309639664567415657, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=46, endPage=55, ext={EN=ArticleExt(id=1309639670229721423, articleId=1309639670053560654, tenantId=1146029695717560320, journalId=1189621681917173762, language=EN, title=Coordinated Optimal Scheduling of Wind-Solar Coupled Blue-Green Hydrogen Systems Considering Cluster Aggregation of Heterogeneous Traffic Flows, columnId=1309639665217532778, journalTitle=Automobile Technology, columnName=Special Topic on Dynamic Trajectory Prediction, Planning, and Tracking Control Technology of Intelligent Vehicle, runingTitle=null, highlight=null, articleAbstract=

This paper proposes a wind-solar driven hybrid blue-green hydrogen system integrated with heterogeneous traffic flows. This approach addresses the limitations of single hydrogen production and the absence of scheduling mechanisms. To handle resource stochasticity, the study employs Monte Carlo simulations and a cluster aggregation algorithm. These methods transform vehicles into dispatchable virtual units. A mixed-integer linear programming (MILP) model is then established to minimize the total operating cost. The results demonstrate that, compared to the benchmark scenario without traffic integration, the proposed synergistic optimization reduces the Levelized Cost of Energy of the system by 14.5%. The fluctuation rates of green and blue hydrogen are 5.29% and 7.24%, respectively. This study provides a feasible solution for the coordinated scheduling of high-penetration renewable energy and transportation-energy fusion systems.

, authors=Shuai Ma¹, Yajun Zhu², Mingbo Niu¹, Yawen Liu³, Qi Li³, authorsList=Shuai Ma, Yajun Zhu, Mingbo Niu, Yawen Liu, Qi Li, authorCompany=null, correspAuthors=Mingbo Niu, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309639670460408144, articleId=1309639670053560654, tenantId=1146029695717560320, journalId=1189621681917173762, language=CN, title=计及异构交通流集群聚合的风光耦合蓝绿氢系统协同优化调度, columnId=1309639665360139116, journalTitle=汽车技术, columnName=智能车辆动态轨迹预测、规划与跟踪控制技术专题, runingTitle=null, highlight=null, articleAbstract=

针对单一制氢局限与交通调度机制缺失，提出一种风光驱动的蓝绿氢耦合制氢与异构交通流协同系统。为应对交通资源随机性，利用蒙特卡洛与集群聚合算法将其转化为可调度虚拟单元，并构建以运行成本最低为目标的混合整数线性规划模型（MILP）。结果表明，与未集成交通流的基准独立制氢系统相比，协同优化使系统平准化能源成本降低14.5%，绿、蓝氢波动率仅为5.29%和7.24%。研究成果为高比例可再生能源与交通能源融合系统的协同调度提供了可行方案。

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