Article(id=1309639763221639538, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639744087229134, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736438400000, receivedDateStr=2025-01-10, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790172051481, onlineDateStr=2026-09-23, pubDate=1768838400000, pubDateStr=2026-01-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790172051481, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790172051481, creator=13701087609, updateTime=1790172051481, updator=13701087609, issue=Issue{id=1309639744087229134, tenantId=1146029695717560320, journalId=1146119893612605453, year='2026', volume='44', issue='1', pageStart='1', pageEnd='142', issueExtLink='null', onlineDate='null', pubDate='1768838400000', pubDateStr='2026-01-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790172046920, creator='13701087609', updateTime=1790231697005, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309889934790590725, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639744087229134, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309889934790590726, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639744087229134, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=131, endPage=142, ext={EN=ArticleExt(id=1309639763410383219, articleId=1309639763221639538, tenantId=1146029695717560320, journalId=1146119893612605453, language=EN, title=Optimal scheduling of park integrated energy system considering flexible response of supply and demand, columnId=null, journalTitle=Renewable Energy Resources, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Deepening the response potential of flexible resources can enhance the operational economy, flexibility and low-carbon nature of the park integrated energy system (PIES). For this reason, this paper proposes an optimal scheduling strategy for PIES that considers the flexible response of supply and demand. First, on the basis of analyzing the dynamic energy efficiency characteristics of the equipment, the organic flash cycle and the electric boiler are introduced to establish a supply -side flexible response model for the multimodal and variable operating conditions of the combined heat and power unit. Then, an electricity-cooling-heating multivariate demand response model with differential rationing of curtailment, substitution and transfer of flexible loads is established on the load side based on a multilevel stepped incentive compensation mechanism. Finally, the coordination optimization model for flexible response of supply and demand of PIES is constructed with the optimization objective of minimizing the daily operation cost. Simulation shows that the proposed strategy not only improves the accuracy of the dispatch model, but also achieves a multi-dimensional optimal balance of system economy and low carbon with energy supply reliability and satisfaction while promoting wind power consumption.

, authors=Yan Ma¹, Juan Hou¹, Fei Wang², Yechun Xin³, authorsList=Yan Ma, Juan Hou, Fei Wang, Yechun Xin, authorCompany=null, correspAuthors=null, 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=1309639763632681332, articleId=1309639763221639538, tenantId=1146029695717560320, journalId=1146119893612605453, language=CN, title=考虑供需灵活响应的园区综合能源系统优化调度, columnId=0, journalTitle=可再生能源, columnName=, runingTitle=null, highlight=null, articleAbstract=

深度挖掘柔性资源的响应潜力，可以提升园区综合能源系统（Park Integrated Energy System, PIES）运行的经济性、灵活性与低碳性。为此，文章提出一种考虑供需灵活响应的PIES优化调度策略。首先，在分析设备动态能效特性的基础上，引入有机闪蒸循环和电热锅炉建立热电联产（Combined Heat and Power, CHP）机组多模态且变工况运行的供给侧灵活响应模型；然后，基于多级阶梯激励补偿机制，在负荷侧建立削减、替代与转移柔性负荷差异化配比的电-冷-热多元需求响应模型；最后，以日运行成本最小为优化目标，构建PIES供需灵活响应的协调优化模型。仿真分析表明，文章所提策略不仅可以提高调度模型的准确度，还可以在促进风电消纳的同时，实现系统经济性、低碳性，供能可靠性、满意度的多维度优化平衡。

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马雁（1982-），女，硕士，副教授，研究方向为发电厂及电力系统电气设备运行。E-mail: 425932040@qq.com

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马雁（1982-），女，硕士，副教授，研究方向为发电厂及电力系统电气设备运行。E-mail: 425932040@qq.com

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