Article(id=1222925295389237905, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222925278838513745, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20220581, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1648137600000, receivedDateStr=2022-03-25, revisedDate=1652284800000, revisedDateStr=2022-05-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1769497711273, onlineDateStr=2026-01-27, pubDate=1677254400000, pubDateStr=2023-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769497711273, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769497711273, creator=13701087609, updateTime=1769497711273, updator=13701087609, issue=Issue{id=1222925278838513745, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='2', 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=1769497707328, creator=13701087609, updateTime=1769497707328, updator=13701087609, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=128, endPage=132, ext={EN=ArticleExt(id=1222925295695422116, articleId=1222925295389237905, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Daily Optimal Scheduling of Pump Station Based on Improved Genetic Algorithm and Dynamic Programming, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

Aiming at the problem of low economic benefits of pump stations caused by unreasonable dispatching, this paper took the pump stations with multiple piping systems as the research object. Considering the impact of peak-valley electricity price, a pump station daily economic optimization model was established by taking the minimum daily operating cost as the goal. The secondary pump station of the connected river reservoir project was taken as a study case to compare constant speed throttling regulation and frequency conversion regulation, which bases on the improved genetic algorithm and dynamic programming method of combined variation. The results show that the improved genetic algorithm is suitable for optimal dispatching of pumping station. At the same time, it is found that when the actual operating points of the pump unit far from the design operating point, adopting frequency conversion regulation has higher economic benefit.

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针对我国泵站因不合理调度而导致经济效益不高的问题，基于存在多管道系统的输水泵站，考虑峰谷电价的影响，以日运行费用最小为目标，构建了泵站日经济优化模型，并以蒙开个河库连通工程二级泵站为例，基于组合变异的改进遗传算法、动态规划法，对定速节流调节、变频调节两种调节方式进行泵站日优化调度。结果表明，改进遗传算法适用于泵站优化调度问题；同时发现当机组实际工况点偏离设计工况点较远时，采用变频调节经济效益更高。

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何彬浩（1997-），男，硕士研究生，研究方向为城市防洪与排涝工程安全，E-mail：949849467@qq.com

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何彬浩（1997-），男，硕士研究生，研究方向为城市防洪与排涝工程安全，E-mail：949849467@qq.com

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