不确定条件下综合能源系统电、热储能多目标优化

Yu Fu, Qie Sun, R. Wennersten
{"title":"不确定条件下综合能源系统电、热储能多目标优化","authors":"Yu Fu, Qie Sun, R. Wennersten","doi":"10.12783/dteees/iceee2019/31779","DOIUrl":null,"url":null,"abstract":"Energy storage system is an important unit to maintain stable output of the system, reduce energy cost, and realize peak-shaving in the integrated energy system. For the two commonly used energy storage methods, electrical energy storage and thermal energy storage, coordinating the optimal configuration of the two can make the system more efficient and energy-saving operation. At present, uncertainty brings great complexity to the optimal design of the system. At the same time, ignoring the influence of uncertainty on the system will lead to the optimization result being a suboptimal situation. Thus, in this paper, a multiobjective optimization under uncertainty is carried out to find the optimal configuration of electric and thermal energy storage system.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-objective Optimization for Electric and Thermal Energy Storage of Integrated Energy System under Uncertainty\",\"authors\":\"Yu Fu, Qie Sun, R. Wennersten\",\"doi\":\"10.12783/dteees/iceee2019/31779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy storage system is an important unit to maintain stable output of the system, reduce energy cost, and realize peak-shaving in the integrated energy system. For the two commonly used energy storage methods, electrical energy storage and thermal energy storage, coordinating the optimal configuration of the two can make the system more efficient and energy-saving operation. At present, uncertainty brings great complexity to the optimal design of the system. At the same time, ignoring the influence of uncertainty on the system will lead to the optimization result being a suboptimal situation. Thus, in this paper, a multiobjective optimization under uncertainty is carried out to find the optimal configuration of electric and thermal energy storage system.\",\"PeriodicalId\":11324,\"journal\":{\"name\":\"DEStech Transactions on Environment, Energy and Earth Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DEStech Transactions on Environment, Energy and Earth Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/dteees/iceee2019/31779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Environment, Energy and Earth Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dteees/iceee2019/31779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

储能系统是综合能源系统中保持系统稳定输出、降低能源成本、实现调峰的重要单元。对于电能存储和热能存储这两种常用的储能方式,协调两者的优化配置可以使系统更加高效节能的运行。目前,不确定性给系统的优化设计带来了很大的复杂性。同时,忽略不确定性对系统的影响,将导致优化结果处于次优状态。因此,本文采用不确定条件下的多目标优化方法寻找电、热储能系统的最优配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective Optimization for Electric and Thermal Energy Storage of Integrated Energy System under Uncertainty
Energy storage system is an important unit to maintain stable output of the system, reduce energy cost, and realize peak-shaving in the integrated energy system. For the two commonly used energy storage methods, electrical energy storage and thermal energy storage, coordinating the optimal configuration of the two can make the system more efficient and energy-saving operation. At present, uncertainty brings great complexity to the optimal design of the system. At the same time, ignoring the influence of uncertainty on the system will lead to the optimization result being a suboptimal situation. Thus, in this paper, a multiobjective optimization under uncertainty is carried out to find the optimal configuration of electric and thermal energy storage system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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