确定沿配电馈线的最佳蓄电池储能

Sushrut Thakar, V. Vittal, R. Ayyanar, E. Palomino, K. Brown
{"title":"确定沿配电馈线的最佳蓄电池储能","authors":"Sushrut Thakar, V. Vittal, R. Ayyanar, E. Palomino, K. Brown","doi":"10.1109/NAPS50074.2021.9449736","DOIUrl":null,"url":null,"abstract":"Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determining Optimal Battery Storage along a Distribution Feeder\",\"authors\":\"Sushrut Thakar, V. Vittal, R. Ayyanar, E. Palomino, K. Brown\",\"doi\":\"10.1109/NAPS50074.2021.9449736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.\",\"PeriodicalId\":170486,\"journal\":{\"name\":\"2020 52nd North American Power Symposium (NAPS)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 52nd North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS50074.2021.9449736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 52nd North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS50074.2021.9449736","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

蓄电池储能是配电网发展的一项重要技术。本文研究了实际配电馈线中蓄电池储能的最优尺寸、配置和调度问题。所选的给料机正在接近其容量运行。因此,存储设计的主要目标是减轻系统中的过载,其次目标是最小化功率损耗。减轻过载所需的存储容量大小由时间序列潮流分析确定。对于该存储的分配和调度问题,将其转化为以有功损耗最小为目标的优化问题。作为验证,在OpenDSS时间序列仿真中实现了获得的存储,以验证消除了过载。此外,增加太阳能光伏(PV)普及率和负荷增长对储能规模、分配和计划的影响显著影响所需的储能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining Optimal Battery Storage along a Distribution Feeder
Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.
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