Article(id=1223210595114144279, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221563, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1659024000000, receivedDateStr=2022-07-29, revisedDate=1661443200000, revisedDateStr=2022-08-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1769565732028, onlineDateStr=2026-01-28, pubDate=1687622400000, pubDateStr=2023-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769565732028, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769565732028, creator=13701087609, updateTime=1769565732028, updator=13701087609, issue=Issue{id=1223210584024400210, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='6', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769565729385, creator=13701087609, updateTime=1769593153259, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223325608164348105, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223325608164348106, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=197, endPage=201, ext={EN=ArticleExt(id=1223210595441300018, articleId=1223210595114144279, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Internal Economic Operation of Large Hydropower Station Based on Load Optimal Distribution Table, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

Dispatching operation of hydropower station is in face of the large capacity and large units, unit control new scheduling features such as irregular more limits and more complicated operation requirements. To aim at power station safe, stable and economic operation, a model of economic operation inside the station was established to realize optimal load distribution of hydropower station units under various operation conditions. The optimal output range of each unit under different head was analyzed. The optimal load distribution rule of the power station was studied, and the economic operation model of the station was established. Based on the economic operation model of the station, the optimal load distribution table was designed. The optimal load distribution result table of the power station under different loads, different heads, and different unit commitment was proposed to guide the real-time economic scheduling of the power station. Taking Hongjiadu station as an example, the results show that the model can reasonably arrange the start-stop sequence and number of units according to the real-time load instruction, and give real-time start-stop suggestions of units. It can obtain the optimal load distribution combination of the proposed unit under various working conditions, reduce the monthly average water consumption rate by 0.18%, reduce the adverse working conditions such as frequent start-stop and frequent crossing of the vibration zone by 9.5%, ensure the efficiency of the unit operation, and improve the economic benefits of the power station.

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针对水电站调度运行面临的大容量、大机组、机组不规则多限制区控制等新的调度特点和更为复杂的运行需求，以电站安全、稳定、经济运行为目标，建立站内经济运行模型，实现水电站在各运行工况下机组间负荷的最优分配。分析了不同水头下各机组的最优出力范围，研究了电站负荷优化分配规则，建立了站内经济运行模型。在站内经济运行模型的基础上设计负荷最优分配表，提出不同负荷、不同水头、不同开停机组合下，电站的负荷最优分配成果表，以指导电站站内经济运行实时调度。在洪家渡电站的应用表明，优化模型能根据实时负荷指令，合理安排机组启停次序、开机台数，并实时给出机组的启停机建议。能够获得各工况下机组的最优负荷分配组合，降低月平均耗水率0.18%，减少机组频繁启停、频繁穿越振动区等不利工况9.5%，保证机组高效运行，提高电站经济效益。

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高英（1978-），女，硕士、高级工程师，研究方向为梯级水电站水库调度，E-mail：807639149@qq.com

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高英（1978-），女，硕士、高级工程师，研究方向为梯级水电站水库调度，E-mail：807639149@qq.com

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