Article(id=1222963549492727853, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221975, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1663689600000, receivedDateStr=2022-09-21, revisedDate=1667232000000, revisedDateStr=2022-11-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506831763, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506831763, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506831763, creator=13701087609, updateTime=1769506831763, updator=13701087609, issue=Issue{id=1222963536863678929, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='4', 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=1769506828752, creator=13701087609, updateTime=1769508076664, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222968771057279321, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222968771057279322, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=102, endPage=106, ext={EN=ArticleExt(id=1222963552059642059, articleId=1222963549492727853, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=A Bi-level Optimiztion Model for Hydropower Plants Based on Deviation Assessment, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

Currently, the electricity market is undergoing a new round of reform, and deviation assessment mechanisms have been introduced in various places to promote fair competition. In the face of the new market rules, the traditional dispatching model with maximum generation cannot be applied, and hydropower companies need to take market factors into account to control deviations. In order to save hydropower companies from paying costs, a study was conducted on the deviation control rules, and a bi-level optimization model with the objective of maximizing generation capacity and minimizing deviation was established to facilitate trading decisions. Taking the Three Gorges hydropower plant and Hubei province electricity market as examples, the Harmonic Search algorithm was used for analysis. The results show that the deviation rate in each interval is within the deviation control range, and the hydropower plant is exempt from deviation control. Thus, the bi-level optimization model mentioned above is feasible.

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当前正值电力市场新一轮改革，各地为推动市场公平竞争纷纷推出偏差考核机制。面对新的市场规则，传统以发电量最大为目标的调度模型无法适用，水电企业在交易中需考虑市场因素，控制电量偏差。为使水电企业免于支付偏差控制费用，针对市场偏差控制规则进行研究，建立了以发电量最大为目标和以电量偏差最小为目标的双层优化模型，以三峡水电站及湖北省电力市场为例，采用和声搜索算法进行计算分析。结果表明，各时段偏差率均在湖北省偏差控制范围内，水电站可免受偏差控制，该双层优化模型具有一定可行性。

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彭静萍（1984-），女，硕士、高级工程师，研究方向为水电站运行和营销，E-mail：peng_jingping@ctg.com.cn

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彭静萍（1984-），女，硕士、高级工程师，研究方向为水电站运行和营销，E-mail：peng_jingping@ctg.com.cn

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^2.b.华中科技大学数字流域科学与技术湖北省重点实验室，湖北 武汉 430074
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^2b.Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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