Article(id=1223210587576975739, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221614, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1659628800000, receivedDateStr=2022-08-05, revisedDate=1662480000000, revisedDateStr=2022-09-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1769565730232, onlineDateStr=2026-01-28, pubDate=1687622400000, pubDateStr=2023-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769565730232, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769565730232, creator=13701087609, updateTime=1769565730232, 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=192, endPage=196, ext={EN=ArticleExt(id=1223210589929980374, articleId=1223210587576975739, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Rate Determination of Comprehensive Output Coefficient of Hongjiadu Hydropower Station, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=
In view of the problem that the comprehensive output coefficient of power station deviates from the actual situation in varying degrees with the accumulation of operation time, the change of operating conditions, unit wear, the comprehensive output coefficient was calibrated according to the average comprehensive output coefficient and the piecewise fitting coefficient. The piecewise fitting method was further divided into piecewise fitting according to the water head and piecewise fitting considering the water head and power generation flow in terms of the dispatching characteristics. The results were verified by precision evaluation. Combined with the historical operation process of Hongjiadu Hydropower Station, a case study was carried out. The results show that compared with the actual results, the relative error of the average coefficient method is 2.64%, that of the piecewise fitting method according to the head is 2.52%, and that of the piecewise fitting method considering the head and flow is 0.59%. The piecewise fitting method is closer to the actual production process than the average comprehensive output coefficient method, and the piecewise fitting method considering the head and power flow is the most accurate.
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针对电站综合出力系数随着运行时间的累积、运行工况变化、机组磨损等出现不同程度偏离实际的问题,分别按平均综合出力系数和分段拟合系数率定综合出力系数,其中分段拟合根据调度特性分为按水头分段和综合考虑水头、发电流量分段,并采用精度评价对结果进行复核验证。结合洪家渡电站的历史运行过程,开展实例研究。结果表明,与实际结果相比平均系数法相对误差为2.64%,按水头分段拟合法为2.52%,综合考虑水头和流量的分段拟合法为0.59%,可见分段拟合法计算较平均综合出力系数法更贴近实际生产过程,并且综合考虑水头和发电流量的分段拟合最为精确。
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1.贵州乌江水电开发有限责任公司水电站远程集控中心,贵州 贵阳 550002, bio={"content":"
徐伟(1984-),男,工程师,研究方向为梯级水电站水库调度,E-mail:1847048238@qq.com
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徐伟(1984-),男,工程师,研究方向为梯级水电站水库调度,E-mail:1847048238@qq.com
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