基于小型模块化电抗器的微电网电池储能系统的优化尺寸

Xuebo Liu, M. Ross, H. Bindra, Hongyu Wu
{"title":"基于小型模块化电抗器的微电网电池储能系统的优化尺寸","authors":"Xuebo Liu, M. Ross, H. Bindra, Hongyu Wu","doi":"10.1109/KPEC51835.2021.9446203","DOIUrl":null,"url":null,"abstract":"Battery energy storage systems (BESS) are increasingly deployed in microgrids due to their benefits in improving system reliability and reducing operational costs. Meanwhile, advanced small modular reactors (SMRs) offer many advantages, including relatively small physical footprints, reduced capital investment, and the ability to be sited in locations not possible for larger nuclear plants. In this paper, we propose a bi-level operational planning model that enables microgrid planners to determine the optimal BESS size and technology while taking into account the optimal long-term (a yearly simulation with a 15-min resolution) operations of a microgrid with SMRs and wind turbines. Case studies are performed using realistic BESS and grid data for two BESS technologies, i.e., Li-Ion battery and compressed air energy storage. Numerical results show the effectiveness of the proposed bi-level model. The pros and cons of the two BESS technologies are also revealed.","PeriodicalId":392538,"journal":{"name":"2021 IEEE Kansas Power and Energy Conference (KPEC)","volume":"341 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Sizing of Battery Energy Storage Systems for Small Modular Reactor based Microgrids\",\"authors\":\"Xuebo Liu, M. Ross, H. Bindra, Hongyu Wu\",\"doi\":\"10.1109/KPEC51835.2021.9446203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Battery energy storage systems (BESS) are increasingly deployed in microgrids due to their benefits in improving system reliability and reducing operational costs. Meanwhile, advanced small modular reactors (SMRs) offer many advantages, including relatively small physical footprints, reduced capital investment, and the ability to be sited in locations not possible for larger nuclear plants. In this paper, we propose a bi-level operational planning model that enables microgrid planners to determine the optimal BESS size and technology while taking into account the optimal long-term (a yearly simulation with a 15-min resolution) operations of a microgrid with SMRs and wind turbines. Case studies are performed using realistic BESS and grid data for two BESS technologies, i.e., Li-Ion battery and compressed air energy storage. Numerical results show the effectiveness of the proposed bi-level model. The pros and cons of the two BESS technologies are also revealed.\",\"PeriodicalId\":392538,\"journal\":{\"name\":\"2021 IEEE Kansas Power and Energy Conference (KPEC)\",\"volume\":\"341 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Kansas Power and Energy Conference (KPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KPEC51835.2021.9446203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Kansas Power and Energy Conference (KPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KPEC51835.2021.9446203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

电池储能系统(BESS)因其在提高系统可靠性和降低运行成本方面的优势而越来越多地部署在微电网中。与此同时,先进的小型模块化反应堆(smr)具有许多优势,包括相对较小的物理占地面积、较少的资本投资,以及能够在大型核电站无法实现的位置安装。在本文中,我们提出了一个双层运行规划模型,使微电网规划者能够确定最佳的BESS规模和技术,同时考虑到具有smr和风力涡轮机的微电网的最佳长期(每年15分钟分辨率的模拟)运行。案例研究使用现实的BESS和电网数据进行两种BESS技术,即锂离子电池和压缩空气储能。数值结果表明了该双层模型的有效性。本文还介绍了两种BESS技术的优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Sizing of Battery Energy Storage Systems for Small Modular Reactor based Microgrids
Battery energy storage systems (BESS) are increasingly deployed in microgrids due to their benefits in improving system reliability and reducing operational costs. Meanwhile, advanced small modular reactors (SMRs) offer many advantages, including relatively small physical footprints, reduced capital investment, and the ability to be sited in locations not possible for larger nuclear plants. In this paper, we propose a bi-level operational planning model that enables microgrid planners to determine the optimal BESS size and technology while taking into account the optimal long-term (a yearly simulation with a 15-min resolution) operations of a microgrid with SMRs and wind turbines. Case studies are performed using realistic BESS and grid data for two BESS technologies, i.e., Li-Ion battery and compressed air energy storage. Numerical results show the effectiveness of the proposed bi-level model. The pros and cons of the two BESS technologies are also revealed.
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