辅助服务用锂离子电池寿命的提高

M. M, D. Bhaskar, R. Krishan, Jisha Krishnan, N. Reddy
{"title":"辅助服务用锂离子电池寿命的提高","authors":"M. M, D. Bhaskar, R. Krishan, Jisha Krishnan, N. Reddy","doi":"10.1109/PEDES49360.2020.9379486","DOIUrl":null,"url":null,"abstract":"In recent past, ancillary services gained attention in grid management due to increased intermittent Renewable Energy (RE) integration into the grid. Battery Energy Storage Systems (BESS) are attracted more popularity for the usage of ancillary services support due to its faster response. Since the deployment of various battery technologies are under the pilot stage and not take on large scale installations across the globe, the cost of the BESS is quite expensive. Also, these battery systems have restrictions of operation for a limited number of life cycles. Given the economic aspects and limited life cycle operations, it is essential to utilize the battery systems optimally, efficiently and cost-economically. In this paper, a new algorithm called Dynamic Frequency Regulation (DFR) is proposed which is based on the prediction and historical operating data along with live data profiles. It helps to enhance the life of the battery systems by ensuring the necessary requirements of ancillary services applications. The proposed algorithm simulated through MATLAB and the results are compared with real time Conventional Frequency Regulation (CFR) output of the Li ion battery integrated with the 22kV feeder located at Power grid Puducherry. The life of the battery system is enhanced by 80% more compared to the CFR methodology. Further, the proposed algorithm shall be implemented on real-time grid-connected LiFePO4 BESS of 500KW/250kWh capacity established by POWERGRID at Puducherry, India.","PeriodicalId":124226,"journal":{"name":"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Lifetime Enhancement of Li-Ion Batteries used for Ancillary Services\",\"authors\":\"M. M, D. Bhaskar, R. Krishan, Jisha Krishnan, N. Reddy\",\"doi\":\"10.1109/PEDES49360.2020.9379486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent past, ancillary services gained attention in grid management due to increased intermittent Renewable Energy (RE) integration into the grid. Battery Energy Storage Systems (BESS) are attracted more popularity for the usage of ancillary services support due to its faster response. Since the deployment of various battery technologies are under the pilot stage and not take on large scale installations across the globe, the cost of the BESS is quite expensive. Also, these battery systems have restrictions of operation for a limited number of life cycles. Given the economic aspects and limited life cycle operations, it is essential to utilize the battery systems optimally, efficiently and cost-economically. In this paper, a new algorithm called Dynamic Frequency Regulation (DFR) is proposed which is based on the prediction and historical operating data along with live data profiles. It helps to enhance the life of the battery systems by ensuring the necessary requirements of ancillary services applications. The proposed algorithm simulated through MATLAB and the results are compared with real time Conventional Frequency Regulation (CFR) output of the Li ion battery integrated with the 22kV feeder located at Power grid Puducherry. The life of the battery system is enhanced by 80% more compared to the CFR methodology. Further, the proposed algorithm shall be implemented on real-time grid-connected LiFePO4 BESS of 500KW/250kWh capacity established by POWERGRID at Puducherry, India.\",\"PeriodicalId\":124226,\"journal\":{\"name\":\"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEDES49360.2020.9379486\",\"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 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDES49360.2020.9379486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

近年来,由于间歇性可再生能源(RE)并网的增加,辅助服务在电网管理中引起了人们的关注。电池储能系统(BESS)由于响应速度快,在辅助服务支持的使用中越来越受欢迎。由于各种电池技术的部署都处于试点阶段,没有在全球范围内大规模安装,因此BESS的成本相当昂贵。此外,这些电池系统在有限的生命周期内具有操作限制。考虑到经济方面和有限的生命周期操作,优化、高效和经济地利用电池系统至关重要。本文提出了一种基于预测数据、历史运行数据和实时数据的动态频率调节算法。通过确保辅助服务应用的必要要求,它有助于提高电池系统的寿命。通过MATLAB对该算法进行仿真,并将仿真结果与普度切里电网22kV馈线集成的锂离子电池的实时常规频率调节(CFR)输出进行比较。与CFR方法相比,电池系统的寿命延长了80%以上。此外,所提出的算法将在印度Puducherry的powerrid建立的500KW/250kWh容量的实时并网LiFePO4 BESS上实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lifetime Enhancement of Li-Ion Batteries used for Ancillary Services
In recent past, ancillary services gained attention in grid management due to increased intermittent Renewable Energy (RE) integration into the grid. Battery Energy Storage Systems (BESS) are attracted more popularity for the usage of ancillary services support due to its faster response. Since the deployment of various battery technologies are under the pilot stage and not take on large scale installations across the globe, the cost of the BESS is quite expensive. Also, these battery systems have restrictions of operation for a limited number of life cycles. Given the economic aspects and limited life cycle operations, it is essential to utilize the battery systems optimally, efficiently and cost-economically. In this paper, a new algorithm called Dynamic Frequency Regulation (DFR) is proposed which is based on the prediction and historical operating data along with live data profiles. It helps to enhance the life of the battery systems by ensuring the necessary requirements of ancillary services applications. The proposed algorithm simulated through MATLAB and the results are compared with real time Conventional Frequency Regulation (CFR) output of the Li ion battery integrated with the 22kV feeder located at Power grid Puducherry. The life of the battery system is enhanced by 80% more compared to the CFR methodology. Further, the proposed algorithm shall be implemented on real-time grid-connected LiFePO4 BESS of 500KW/250kWh capacity established by POWERGRID at Puducherry, India.
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:604180095
Book学术官方微信