Article(id=1311351288756007183, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2026.20251151, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1751040000000, receivedDateStr=2025-06-28, revisedDate=1757347200000, revisedDateStr=2025-09-09, acceptedDate=1758124800000, acceptedDateStr=2025-09-18, onlineDate=1790580110968, onlineDateStr=2026-09-28, pubDate=1769270400000, pubDateStr=2026-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790580110968, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790580110968, creator=13701087609, updateTime=1790580110968, updator=13701087609, issue=Issue{id=1311351152067830064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2026', volume='44', issue='1', pageStart='1', pageEnd='246', issueExtLink='null', onlineDate='null', pubDate='1769270400000', pubDateStr='2026-01-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790580078378, creator='13701087609', updateTime=1790588459421, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311386304772927717, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311386304772927718, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=217, endPage=221, ext={EN=ArticleExt(id=1311351288927973648, articleId=1311351288756007183, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Optimization of Regulation Capability for Watershed Small Hydropower Clusters Based on Rnoff Forecasting, columnId=null, journalTitle=Water Resources and Power, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Small hydropower has the characteristics of small capacity, multi-point distribution and strong basin correlation. The traditional follow-up power generation mode is disorderly, and the flexible and adjustable value of small hydropower groups has not been fully utilized. The evaluation and optimization of adjustable capacity is the key to support the peak regulation of power grid and the accommodation of wind, solar and electricity. Based on the runoff prediction of small hydropower groups in the basin, it is proposed that the output corresponding to the maximum power generation flow of the current water level of small hydropower is the upper limit of adjustable output, and the output corresponding to the ecological installed capacity is the lower limit. The adjustable capacity interval of small hydropower is determined, and then the adjustable capacity optimization model of small hydropower groups in the basin is constructed and an improved particle swarm optimization algorithm is proposed. Taking the five series runoff power stations of Liangqian, Dayan, Kongtou, Fancuo and Gaotang in Jinxi River Basin as an example, the rainfall-runoff process simulation is carried out to analyze the coupling relationship between the storage capacity of small hydropower group and its power generation and inflow flow, and the optimal output and adjustable output interval of small hydropower group in the basin are optimized. The results show that after optimization, the adjustable capacity interval is increased, the upper limit of the adjustment capacity is increased by 12.1 %, and the actual output is increased by 14.6 % compared with that before optimization. The optimized output mode can support the power grid to adjust the output of small hydropower in a larger interval, which can provide decision support for the power grid dispatching department to tap the flexibility value of small hydropower resources and give full play to its peak regulation and consumption capacity.

, authors=Gui-xiong HE¹, Xin-he ZHANG¹, Xue-yuan XIE², Yong XU², authorsList=Gui-xiong HE, Xin-he ZHANG, Xue-yuan XIE, Yong XU, authorCompany=null, correspAuthors=Xin-he ZHANG, 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=1311351289141883153, articleId=1311351288756007183, tenantId=1146029695717560320, journalId=1205116964453384197, language=CN, title=基于径流预测的流域小水电群可调能力优化, columnId=1207271183679046476, journalTitle=水电能源科学, columnName=水电优化调度, runingTitle=null, highlight=null, articleAbstract=

小水电具有小容量、多点分布、流域相关性强等特点，传统“随流发电”模式具有无序性，小水电群灵活可调价值未得到充分释放，可调能力评估与优化是流域小水电群支撑电网调峰、风光电消纳的关键。在流域小水电群径流预测基础上，提出以小水电当前水位最大发电流量下泄对应出力为可调出力上限，以生态装机容量对应出力为下限，确定了小水电可调节容量区间，进而构建了流域小水电群可调容量优化模型并提出改进粒子群求解算法。以金溪流域的良浅、大言、孔头、范厝、高唐5座串联径流式电站为例进行降雨—径流过程模拟，分析小水电群库容与其发电、入库流量耦合关系，计算流域小水电群最优出力及可调节出力区间并进行优化求解。结果表明，优化后可调容量区间增大，调节能力上限提高了12.1%，实际出力比优化前提高了14.6%。优化后出力方式可支撑电网在更大区间调整小水电出力，为电网调度部门挖掘小水电资源灵活性价值，发挥其调峰和消纳能力提供了决策支撑。

, authors=何桂雄¹, 张新鹤¹, 谢学渊², 徐勇², authorsList=何桂雄, 张新鹤, 谢学渊, 徐勇, authorCompany=null, correspAuthors=张新鹤, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=PhuR+2VGdwP7TyZNuWG6zw==, magXml=LGXpbg0fm6Or173TUtk4QA==, pdfUrl=null, pdf=j7Ods7Bbu9rKGSqq8BGbDg==, pdfFileSize=1548983, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=KjLkAkFhS2XgvN8XtozAww==, mapNumber=null, fund=null)}, authors=[Author(id=1311351289548730649, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1311351288756007183, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=2464799833@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1311351289620033819, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1311351288756007183, authorId=1311351289548730649, language=EN, stringName=Gui-xiong HE, firstName=Gui-xiong, middleName=null, lastName=HE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.China Electric Power Research Institute, Beijing 100192, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1311351289678754076, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1311351288756007183, authorId=1311351289548730649, language=CN, stringName=何桂雄, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．中国电力科学研究院有限公司，北京 100192, bio={"content":"

何桂雄（1984-），男，博士、正高级工程师，研究方向为分布式发电、负荷管理与综合能源技术研究与应用，E-mail: 2464799833@qq.com

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何桂雄（1984-），男，博士、正高级工程师，研究方向为分布式发电、负荷管理与综合能源技术研究与应用，E-mail: 2464799833@qq.com

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