Short-term peak shaving model of cascade hybrid pumped storage hydropower station retrofitted from conventional hydropower

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
{"title":"Short-term peak shaving model of cascade hybrid pumped storage hydropower station retrofitted from conventional hydropower","authors":"","doi":"10.1016/j.ijepes.2024.110226","DOIUrl":null,"url":null,"abstract":"<div><p>The integration of pumped storage units with conventional cascade hydropower to form a cascade hybrid pumped storage hydropower station (CHPHPS) is considered one of the effective approaches to expedite the development of pumped storage. However, more complex hydraulic and electrical coupling relationships pose challenges to the operation of these stations. In this study, the typical peak shaving mode of CHPSHS is initially analyzed, and a corresponding peak shaving model is proposed. The objective function of the model is to minimize the peak-valley difference in the remaining load on the grid. In terms of modelling, the refined modelling method using the unit as the scheduling unit is used to successfully reflect the differentiated operating characteristics of different types of units. In terms of model solving, state variables are introduced to facilitate the decoupling and switching of operational states. Furthermore, linearization techniques such as piecewise linear approximation, integration of 0–1 integer variables, and discretization of generation head are utilized to handle nonlinear constraints. The model is converted into a mixed-integer linear programming (MILP) problem and solved using the CPLEX tool with Java programming. A case study conducted in southwest China shows that CHPSHS can enhance the peak shaving ability and reduce the peak-valley difference in the remaining load on the grid, providing valuable reference for retrofitting conventional cascade hydropower stations.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004472/pdfft?md5=e5ee44a786736ea400df77670beaa527&pid=1-s2.0-S0142061524004472-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061524004472","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

The integration of pumped storage units with conventional cascade hydropower to form a cascade hybrid pumped storage hydropower station (CHPHPS) is considered one of the effective approaches to expedite the development of pumped storage. However, more complex hydraulic and electrical coupling relationships pose challenges to the operation of these stations. In this study, the typical peak shaving mode of CHPSHS is initially analyzed, and a corresponding peak shaving model is proposed. The objective function of the model is to minimize the peak-valley difference in the remaining load on the grid. In terms of modelling, the refined modelling method using the unit as the scheduling unit is used to successfully reflect the differentiated operating characteristics of different types of units. In terms of model solving, state variables are introduced to facilitate the decoupling and switching of operational states. Furthermore, linearization techniques such as piecewise linear approximation, integration of 0–1 integer variables, and discretization of generation head are utilized to handle nonlinear constraints. The model is converted into a mixed-integer linear programming (MILP) problem and solved using the CPLEX tool with Java programming. A case study conducted in southwest China shows that CHPSHS can enhance the peak shaving ability and reduce the peak-valley difference in the remaining load on the grid, providing valuable reference for retrofitting conventional cascade hydropower stations.

由常规水电改造而成的梯级混合式抽水蓄能水电站的短期削峰模型
将抽水蓄能机组与常规梯级水电整合形成梯级混合抽水蓄能水电站 (CHPHPS) 被认为是加快抽水蓄能发展的有效方法之一。然而,更为复杂的水力和电力耦合关系给这些电站的运行带来了挑战。本研究初步分析了 CHPSHS 的典型调峰模式,并提出了相应的调峰模型。该模型的目标函数是最小化电网剩余负荷的峰谷差。在建模方面,采用了以机组为调度单元的精细建模方法,成功反映了不同类型机组的差异化运行特性。在模型求解方面,引入了状态变量,以方便运行状态的解耦和切换。此外,还采用了线性化技术,如片断线性近似、0-1 整数变量积分和发电头离散化等,以处理非线性约束。该模型被转换为混合整数线性规划(MILP)问题,并使用 Java 编程的 CPLEX 工具进行求解。在中国西南地区进行的案例研究表明,CHPSHS 可增强调峰能力,减少电网剩余负荷的峰谷差,为改造常规梯级水电站提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信