Article(id=1223185961429881162, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20220719, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1649606400000, receivedDateStr=2022-04-11, revisedDate=1654012800000, revisedDateStr=2022-06-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1769559858900, onlineDateStr=2026-01-28, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769559858900, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769559858900, creator=13701087609, updateTime=1769559858900, updator=13701087609, issue=Issue{id=1223185958363841064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='3', 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=1769559858149, creator=13701087609, updateTime=1769561242661, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223191765415477785, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223191765415477786, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=211, endPage=215, ext={EN=ArticleExt(id=1223185963254403419, articleId=1223185961429881162, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis of Power Generation Capacity of Three Gorges Reservoir Under Normal Operation Conditions, columnId=1222940986234364233, journalTitle=Water Resources and Power, columnName=ELECTRICAL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

In order to review the power generation capacity of the Three Gorges Reservoir under normal operation conditions, and explore the impact of different dispatch modes and upstream reservoir regulation, the preliminary design scheme, optimized operation scheme, and 2015/2019 edition scheme were taken as the calculation model. Considering the main control reservoirs in the upstream, the natural runoff series in Yichang station from 1946 to 1975 used in the preliminary design were selected to calculate the natural flow derivation for reflecting the inflow runoff characteristics of the Three Gorges Reservoir in the current stage. Using natural/return runoff as four dispatch models’ scenarios, the power generation capacity was analyzed. The results show that under current stage, the power generation capacity of the Three Gorges Reservoir is 100.8 billion kW·h, 14.3% higher than the design value; By optimizing the dispatch mode, the full storage rate in October can be improved. Compared with the design mode, the power generation capacity is increased by 5.5-9 billion kW·h; By the regulation of the upstream reservoir, the inflow runoff and the utilization rate of water resources is improved. The power generation capacity is increased by 0.8-2.8 billion kW·h.

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为复核正常运行期条件下三峡电站的发电能力、探究不同调度方式及上游水库调蓄对三峡电站发电能力的影响，以初设方案、优化调度方案、2015版调度规程方案、2019版调度规程方案为调度计算模型，选取初步设计测算所用1946~1975年宜昌站天然径流系列，在考虑上游主要控制性水库的基础上进行还现计算以反映正常运行期三峡入库径流特征，并对比分析了天然、还现径流分别按照四种调度模型运行情景下的三峡电站发电能力。结果表明，正常运行期条件下三峡电站发电能力为1 008×10⁸kW∙h，较设计值提高了14.3%；通过优化调度方式可显著提升水库10月蓄满率，相比初设方式，三峡电站发电能力提升约55×10⁸~90×10⁸kW∙h；在上游水库调蓄作用下三峡年内入库径流系列明显坦化，水资源利用率有效提升，三峡电站发电能力提升约8×10⁸~28×10⁸kW∙h。

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谭政宇（1994-），男，硕士、助理工程师，研究方向为水库优化调度，E-mail：tan_zhengyu@ctg.com.cn

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谭政宇（1994-），男，硕士、助理工程师，研究方向为水库优化调度，E-mail：tan_zhengyu@ctg.com.cn

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