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Article(id=1311351217729667387, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2026.20242370, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1734537600000, receivedDateStr=2024-12-19, revisedDate=1743004800000, revisedDateStr=2025-03-27, acceptedDate=1744905600000, acceptedDateStr=2025-04-18, onlineDate=1790580094034, onlineDateStr=2026-09-28, pubDate=1769270400000, pubDateStr=2026-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790580094034, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790580094034, creator=13701087609, updateTime=1790580094034, updator=13701087609, issue=Issue{id=1311351152067830064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2026', volume='44', issue='1', pageStart='1', pageEnd='246', issueExtLink='null', onlineDate='null', pubDate='1769270400000', pubDateStr='2026-01-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790580078378, creator='13701087609', updateTime=1790588459421, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311386304772927717, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311386304772927718, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=152, endPage=156, ext={EN=ArticleExt(id=1311351217872273724, articleId=1311351217729667387, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Urban Water Supply Optimization Scheduling Based on Cuckoo Optimization Algorithm, columnId=null, journalTitle=Water Resources and Power, columnName=null, runingTitle=null, highlight=null, articleAbstract=

The effective utilization of digital simulation technology for the synergistic optimization of secondary water supply systems and urban main water supply systems has emerged as a critical necessity in the water supply sector. This optimization aims to achieve leakage control in pipelines and reduce energy consumption while aligning with carbon neutrality objectives. This study presents a comprehensive approach that incorporates the sum of water charges and electricity costs as the objective function, leveraging a combination of EPANET 2.2, MATLAB, and the EPANET-MATLAB Toolkit. We propose an optimization model that employs the Cuckoo Search Algorithm to facilitate the real-time scheduling of pump operations and inflow rates within the secondary water supply system. The proposed optimization model was validated through application to a small-scale water supply network. The results show that the total costs reduce 3.5% over a 24-hour period, with water charges decreasing by 0.63% and electricity costs decreasing by 9.9%. The developed optimization model serves as a significant reference for the future advancement of green, safe, and intelligent water supply management practices.

, authors=Qi-kai MENG1, Yong-zhi CHI1, Can-can JIANG2, 3, Ru-yuan JIAO2, Yi HE2, 4, Xiao-xu ZHENG2, 4, Xiao-qing FU4, Xu-liang ZHUANG2, 3, Sheng-jun XU2, 3, 4, authorsList=Qi-kai MENG, Yong-zhi CHI, Can-can JIANG, Ru-yuan JIAO, Yi HE, Xiao-xu ZHENG, Xiao-qing FU, Xu-liang ZHUANG, Sheng-jun XU, authorCompany=null, correspAuthors=Sheng-jun XU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311351218086183229, articleId=1311351217729667387, tenantId=1146029695717560320, journalId=1205116964453384197, language=CN, title=基于布谷鸟优化算法的城市供水优化调度, columnId=1207271181661589640, journalTitle=水电能源科学, columnName=水利枢纽、水利建筑物, runingTitle=null, highlight=null, articleAbstract=

如何利用数字化模拟技术对二供系统与城市主体供水系统进行协同优化，以实现管网漏损控制和能耗减少，并达成双碳目标，已成为供水行业亟待解决的重要需求。为此，引入水费与电费之和作为目标函数，结合EPANET 2.2、MATLAB及EPANET-MATLAB-Toolkit进行联合编程，提出了一种基于布谷鸟算法的水泵及二供系统进水量实时调度优化模型，并将该优化模型在一个小型供水管网中进行验证。结果表明，在24 h内的调度后，优化后供水总费用减少了3.5%，其中水费降低了0.63%，电费降低了9.9%。所构建的优化模型为未来供水管理的绿色、安全及智能化转型提供了参考与借鉴。

, authors=孟琦凯1, 池勇志1, 姜参参2, 3, 焦茹媛2, 何怡2, 4, 郑效旭2, 4, 付晓青4, 庄绪亮2, 3, 徐圣君2, 3, 4, authorsList=孟琦凯, 池勇志, 姜参参, 焦茹媛, 何怡, 郑效旭, 付晓青, 庄绪亮, 徐圣君, authorCompany=null, correspAuthors=徐圣君, authorNote=

孟琦凯（2000-），男，硕士研究生，研究方向为供水管网优化，E-mail:

, correspAuthorsNote=
徐圣君（1985-），男，博士、副研究员，研究方向为供水管网优化，E-mail:
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孟琦凯（2000-），男，硕士研究生，研究方向为供水管网优化，E-mail:

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孟琦凯（2000-），男，硕士研究生，研究方向为供水管网优化，E-mail:

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基于布谷鸟优化算法的城市供水优化调度
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孟琦凯 1 , 池勇志 1 , 姜参参 2, 3 , 焦茹媛 2 , 何怡 2, 4 , 郑效旭 2, 4 , 付晓青 4 , 庄绪亮 2, 3 , 徐圣君 2, 3, 4
水电能源科学 | 水利枢纽、水利建筑物 2026,44(1): 152-156
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水电能源科学 |水利枢纽、水利建筑物 2026 , 44 (1) : 152 -156
基于布谷鸟优化算法的城市供水优化调度
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孟琦凯1 , 池勇志1, 姜参参2, 3, 焦茹媛2, 何怡2, 4, 郑效旭2, 4, 付晓青4, 庄绪亮2, 3, 徐圣君2, 3, 4
作者信息
  • 1．天津城建大学环境与市政工程学院，天津 300384
  • 2．中国科学院生态环境研究中心，北京 100085
  • 3．中国科学院大学资源与环境学院，北京 100049
  • 4．长三角（义乌）生态环境研究中心，浙江 义乌 322000
通讯作者:
徐圣君（1985-），男，博士、副研究员，研究方向为供水管网优化，E-mail:
作者简介:

孟琦凯（2000-），男，硕士研究生，研究方向为供水管网优化，E-mail:

Urban Water Supply Optimization Scheduling Based on Cuckoo Optimization Algorithm
Qi-kai MENG1 , Yong-zhi CHI1, Can-can JIANG2, 3, Ru-yuan JIAO2, Yi HE2, 4, Xiao-xu ZHENG2, 4, Xiao-qing FU4, Xu-liang ZHUANG2, 3, Sheng-jun XU2, 3, 4
Affiliations
  • 1.School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China
  • 2.Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
  • 3.College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • 4.Yangtze River Delta Research Center for Eco-Environmental Sciences, Yiwu 322000, China
出版时间: 2026-01-25 doi: 10.20040/j.cnki.1000-7709.2026.20242370
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摘要
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如何利用数字化模拟技术对二供系统与城市主体供水系统进行协同优化，以实现管网漏损控制和能耗减少，并达成双碳目标，已成为供水行业亟待解决的重要需求。为此，引入水费与电费之和作为目标函数，结合EPANET 2.2、MATLAB及EPANET-MATLAB-Toolkit进行联合编程，提出了一种基于布谷鸟算法的水泵及二供系统进水量实时调度优化模型，并将该优化模型在一个小型供水管网中进行验证。结果表明，在24 h内的调度后，优化后供水总费用减少了3.5%，其中水费降低了0.63%，电费降低了9.9%。所构建的优化模型为未来供水管理的绿色、安全及智能化转型提供了参考与借鉴。

供水系统优化  /  泵站与水箱调度  /  泄漏控制  /  能源管理  /  布谷鸟优化算法

The effective utilization of digital simulation technology for the synergistic optimization of secondary water supply systems and urban main water supply systems has emerged as a critical necessity in the water supply sector. This optimization aims to achieve leakage control in pipelines and reduce energy consumption while aligning with carbon neutrality objectives. This study presents a comprehensive approach that incorporates the sum of water charges and electricity costs as the objective function, leveraging a combination of EPANET 2.2, MATLAB, and the EPANET-MATLAB Toolkit. We propose an optimization model that employs the Cuckoo Search Algorithm to facilitate the real-time scheduling of pump operations and inflow rates within the secondary water supply system. The proposed optimization model was validated through application to a small-scale water supply network. The results show that the total costs reduce 3.5% over a 24-hour period, with water charges decreasing by 0.63% and electricity costs decreasing by 9.9%. The developed optimization model serves as a significant reference for the future advancement of green, safe, and intelligent water supply management practices.

water distribution system optimization  /  pump and tank scheduling  /  leakage control  /  energy management  /  Cuckoo optimization algorithm
孟琦凯, 池勇志, 姜参参, 焦茹媛, 何怡, 郑效旭, 付晓青, 庄绪亮, 徐圣君. 基于布谷鸟优化算法的城市供水优化调度. 水电能源科学, 2026 , 44 (1) : 152 -156 . DOI: 10.20040/j.cnki.1000-7709.2026.20242370
Qi-kai MENG, Yong-zhi CHI, Can-can JIANG, Ru-yuan JIAO, Yi HE, Xiao-xu ZHENG, Xiao-qing FU, Xu-liang ZHUANG, Sheng-jun XU. Urban Water Supply Optimization Scheduling Based on Cuckoo Optimization Algorithm[J]. Water Resources and Power, 2026 , 44 (1) : 152 -156 . DOI: 10.20040/j.cnki.1000-7709.2026.20242370
基金
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  • 国家重点研发计划(2022YFC3203800)
  • 浙江省“尖兵”“领燕”科技计划项目(2023C03131; 2023C03132)
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2026年第44卷第1期
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doi: 10.20040/j.cnki.1000-7709.2026.20242370
  • 接收时间：2024-12-19
  • 首发时间：2026-09-28
  • 出版时间：2026-01-25
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  • 收稿日期：2024-12-19
  • 修回日期：2025-03-27
  • 录用日期：2025-04-18
基金
国家重点研发计划(2022YFC3203800)
浙江省“尖兵”“领燕”科技计划项目(2023C03131; 2023C03132)
作者信息
    1．天津城建大学环境与市政工程学院，天津 300384
    2．中国科学院生态环境研究中心，北京 100085
    3．中国科学院大学资源与环境学院，北京 100049
    4．长三角（义乌）生态环境研究中心，浙江 义乌 322000

通讯作者:

徐圣君（1985-），男，博士、副研究员，研究方向为供水管网优化，E-mail:
参考文献
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https://castjournals.cast.org.cn/joweb/sdnykx/CN/10.20040/j.cnki.1000-7709.2026.20242370
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2种不同金属材料的力学参数
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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