Model Predictive Rotor Current Control for Doubly Fed Induction Generators under Unbalanced Grid Voltages

Yongchang Zhang, Jian Jiao
{"title":"Model Predictive Rotor Current Control for Doubly Fed Induction Generators under Unbalanced Grid Voltages","authors":"Yongchang Zhang, Jian Jiao","doi":"10.1109/PEAC.2018.8590608","DOIUrl":null,"url":null,"abstract":"Under unbalanced grid condition, if negative sequence component of the grid voltage is not considered in the running system of doubly fed induction generator (DFIG), highly distorted stator currents and rotor currents will be produced. A new rotor current reference value is deduced in this paper. By analyzing the relationship between power reference and rotor currents, the reference value of rotor currents can be easily calculated without phase-locked loop (PLL). One kind of predictive current control based on the mathematical model of DFIG is proposed to directly control rotor current without any tuning work. After obtaining the analytical differentiation of the rotor currents, the reference rotor voltage is then deduced and synthesized by space vector modulation (SVM). Different from the conventional deadbeat power control with SVM (DPCSVM), all the three phase rotor currents in this method are sinusoidal and balanced when DFIG runs at unbalanced network. All simulation results for a 1.5 kW DFIG are presented to show the availability of proposed algorithm.","PeriodicalId":446770,"journal":{"name":"2018 IEEE International Power Electronics and Application Conference and Exposition (PEAC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Power Electronics and Application Conference and Exposition (PEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEAC.2018.8590608","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

Under unbalanced grid condition, if negative sequence component of the grid voltage is not considered in the running system of doubly fed induction generator (DFIG), highly distorted stator currents and rotor currents will be produced. A new rotor current reference value is deduced in this paper. By analyzing the relationship between power reference and rotor currents, the reference value of rotor currents can be easily calculated without phase-locked loop (PLL). One kind of predictive current control based on the mathematical model of DFIG is proposed to directly control rotor current without any tuning work. After obtaining the analytical differentiation of the rotor currents, the reference rotor voltage is then deduced and synthesized by space vector modulation (SVM). Different from the conventional deadbeat power control with SVM (DPCSVM), all the three phase rotor currents in this method are sinusoidal and balanced when DFIG runs at unbalanced network. All simulation results for a 1.5 kW DFIG are presented to show the availability of proposed algorithm.
电网电压不平衡条件下双馈感应发电机转子电流模型预测控制
在电网不平衡状态下,双馈异步发电机运行系统如果不考虑电网电压的负序分量,将会产生高度畸变的定子电流和转子电流。本文推导了一种新的转子电流参考值。通过分析功率参考值与转子电流的关系,可以在不加锁相环的情况下方便地计算转子电流的参考值。提出了一种基于DFIG数学模型的预测电流控制方法,可直接控制转子电流,无需进行任何调谐。在得到转子电流的解析微分后,通过空间矢量调制(SVM)推导并合成转子参考电压。与传统的支持向量机无差拍功率控制(DPCSVM)不同的是,当DFIG运行在不平衡网络时,该方法的三相转子电流都是正弦且平衡的。最后给出了一台1.5 kW DFIG的仿真结果,验证了算法的有效性。
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:481959085
Book学术官方微信