Novel methodology to simultaneously mitigate fast and slow voltage fluctuations of voltage profile in distribution feeder using battery storage

Prabha Ariyaratna, K. Muttaqi, D. Sutanto
{"title":"Novel methodology to simultaneously mitigate fast and slow voltage fluctuations of voltage profile in distribution feeder using battery storage","authors":"Prabha Ariyaratna, K. Muttaqi, D. Sutanto","doi":"10.1109/AUPEC.2017.8282408","DOIUrl":null,"url":null,"abstract":"High penetration of residential rooftop solar photo-voltaic (PV) units can cause both slow and fast voltage fluctuations in the connected low voltage (LV) distribution feeder due to random variations in solar PV power output, in addition to the variations in load demand. In this paper, a novel control strategy is proposed to simultaneously mitigate associated slow and fast voltage fluctuations in connected LV distribution feeder using distributed energy storage; which has not been addressed in the literature. Integrated battery energy storage systems in solar PV units will be dynamically charged to mitigate the voltage rise during mid-day and discharged during the evening peak hours, simultaneously controlling the ramp rate of the PV inverter to a defined ramp rate. The proposed control strategy has been validated using a practical distribution feeder system in NSW, Australia and results are reported. The test simulation case studies are carried out using MATLAB simulations.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2017.8282408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

High penetration of residential rooftop solar photo-voltaic (PV) units can cause both slow and fast voltage fluctuations in the connected low voltage (LV) distribution feeder due to random variations in solar PV power output, in addition to the variations in load demand. In this paper, a novel control strategy is proposed to simultaneously mitigate associated slow and fast voltage fluctuations in connected LV distribution feeder using distributed energy storage; which has not been addressed in the literature. Integrated battery energy storage systems in solar PV units will be dynamically charged to mitigate the voltage rise during mid-day and discharged during the evening peak hours, simultaneously controlling the ramp rate of the PV inverter to a defined ramp rate. The proposed control strategy has been validated using a practical distribution feeder system in NSW, Australia and results are reported. The test simulation case studies are carried out using MATLAB simulations.
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
利用蓄电池储能同时缓解配电馈线电压曲线快慢波动的新方法
住宅屋顶太阳能光伏(PV)机组的高渗透率,除了负荷需求的变化外,还会由于太阳能光伏输出的随机变化而导致所连接的低压(LV)配电馈线电压的缓慢和快速波动。本文提出了一种利用分布式储能同时缓解连接低压配电馈线中伴随的慢速和快速电压波动的控制策略;这在文献中还没有提到。太阳能光伏发电机组中的集成电池储能系统将在中午进行动态充电以缓解电压上升,并在晚高峰时段进行放电,同时将光伏逆变器的斜坡速率控制在定义的斜坡速率上。所提出的控制策略已在澳大利亚新南威尔士州的一个实际配电馈线系统中得到验证,并报告了结果。利用MATLAB仿真进行了测试仿真案例研究。
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
自引率
0.00%
发文量
0
期刊最新文献
Effect of automatic hyperparameter tuning for residential load forecasting via deep learning Hybrid power plant bidding strategy including a commercial compressed air energy storage aggregator and a wind power producer Modeling of multi-junction solar cells for maximum power point tracking to improve the conversion efficiency The importance of lightning education and a lightning protection risk assessment to reduce fatalities Recent advances in common mode voltage mitigation techniques based on MPC
×
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