Fuzzy control strategy of energy storage for wind-storage system

Xiao Yang, Chun-juan Jia, Pei Zhang, Fengjun Yi, Zinxin Sun, Jingyi Zhang
{"title":"Fuzzy control strategy of energy storage for wind-storage system","authors":"Xiao Yang, Chun-juan Jia, Pei Zhang, Fengjun Yi, Zinxin Sun, Jingyi Zhang","doi":"10.1109/ICEMS.2015.7385199","DOIUrl":null,"url":null,"abstract":"This paper proposes a fuzzy control strategy to reduce the wind power fluctuations and improve the system reliability. The control strategy aims at controlling charging and discharging energy storage process based on wind power and load changes. What's more, the original strategy is optimized by intervening in battery charging and discharging to manage State of Charge (SOC) of battery. The strategy has been applied to a test system named IEEE RTS79, and the simulation results validate the effect of this strategy. Compared with the original result, longer life of battery and SOC are verified.","PeriodicalId":324610,"journal":{"name":"2015 18th International Conference on Electrical Machines and Systems (ICEMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 18th International Conference on Electrical Machines and Systems (ICEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMS.2015.7385199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper proposes a fuzzy control strategy to reduce the wind power fluctuations and improve the system reliability. The control strategy aims at controlling charging and discharging energy storage process based on wind power and load changes. What's more, the original strategy is optimized by intervening in battery charging and discharging to manage State of Charge (SOC) of battery. The strategy has been applied to a test system named IEEE RTS79, and the simulation results validate the effect of this strategy. Compared with the original result, longer life of battery and SOC are verified.
风电系统储能模糊控制策略
本文提出了一种模糊控制策略,以减少风电的波动,提高系统的可靠性。控制策略的目的是控制基于风电和负荷变化的充放电储能过程。通过对电池充放电的干预,对原有策略进行优化,实现对电池荷电状态(SOC)的管理。将该策略应用于IEEE RTS79测试系统,仿真结果验证了该策略的有效性。与原始结果相比,验证了电池寿命和SOC寿命的延长。
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 求助全文
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