Generating hydro unit commitment instances

IF 1.5 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Top Pub Date : 2023-10-11 DOI:10.1007/s11750-023-00660-w
Dimitri Thomopulos, Claudia d'Ambrosio, Wim van Ackooij, Marc Stéfanon
{"title":"Generating hydro unit commitment instances","authors":"Dimitri Thomopulos, Claudia d'Ambrosio, Wim van Ackooij, Marc Stéfanon","doi":"10.1007/s11750-023-00660-w","DOIUrl":null,"url":null,"abstract":"Handling cascading reservoir systems is an important energy management optimization problem. The difficulty of these problems stems, in part, from the modeling of the hydro-production function. Data are not always easy to come by. To remedy this issue, this paper proposes and describes a realistic instance generator, building instances of varying difficulty. No specific data format for these problems is currently available in the literature. In addition, both notation and formulations tend to vary widely. Instances and case studies are poorly available or otherwise not applicable to different variants of these problems. The purpose of the generator is also a first attempt to develop a shared data format useful for different variants of hydro unit commitment problems and seeks to mediate the needs of different sectors interested in the optimization of hydropower plants.","PeriodicalId":49432,"journal":{"name":"Top","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Top","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11750-023-00660-w","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 1

Abstract

Handling cascading reservoir systems is an important energy management optimization problem. The difficulty of these problems stems, in part, from the modeling of the hydro-production function. Data are not always easy to come by. To remedy this issue, this paper proposes and describes a realistic instance generator, building instances of varying difficulty. No specific data format for these problems is currently available in the literature. In addition, both notation and formulations tend to vary widely. Instances and case studies are poorly available or otherwise not applicable to different variants of these problems. The purpose of the generator is also a first attempt to develop a shared data format useful for different variants of hydro unit commitment problems and seeks to mediate the needs of different sectors interested in the optimization of hydropower plants.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
发电机组承诺实例
处理级联水库系统是一个重要的能量管理优化问题。这些问题的困难部分源于水力生产函数的建模。获取数据并不总是那么容易。为了解决这个问题,本文提出并描述了一个现实的实例生成器,构建不同难度的实例。目前在文献中没有针对这些问题的具体数据格式。此外,符号和公式往往变化很大。实例和案例研究很少可用,或者不适用于这些问题的不同变体。该发电机的目的也是第一次尝试开发一种共享数据格式,用于不同类型的水力发电机组投入问题,并寻求调解对水力发电厂优化感兴趣的不同部门的需求。
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 去求助
来源期刊
Top
Top 管理科学-运筹学与管理科学
CiteScore
3.70
自引率
0.00%
发文量
26
审稿时长
>12 weeks
期刊介绍: TOP publishes original papers that significantly contribute to the theory and methodology of Operations Research, or to the practice of Data Driven Decision Making through innovative applications of Operations Research.
期刊最新文献
On the convergence analysis of a proximal gradient method for multiobjective optimization Combined cargo allocation and multi-ship routing and scheduling problem: application in the fertilizer industry Analysis of a manufacturing queueing system using bi-level randomized policy Disagreement amongst counterfactual explanations: how transparency can be misleading Adapting support vector optimisation algorithms to textual gender classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1