Closed Loop Control of a Novel Three Phase Switched Capacitor Multilevel Inverter using Model Predictive Control Technique

Diptish Saha, T. Roy, Sitakant Debata
{"title":"Closed Loop Control of a Novel Three Phase Switched Capacitor Multilevel Inverter using Model Predictive Control Technique","authors":"Diptish Saha, T. Roy, Sitakant Debata","doi":"10.1109/NPEC.2018.8476793","DOIUrl":null,"url":null,"abstract":"The importance of renewable energy sources has fostered the development of new multilevel inverter (MLI) topologies to increase the reliability and robustness of inverter systems. Switched Capacitor MLI (SCMLI) is an alternative inverter with reduced power supplies compared to conventional inverter. It has self-voltage balancing and boosting capability. In this paper, a new three phase SCMLI topology and its closed loop control using Model Predictive Control (MPC) for output load current is presented. The proposed MLI topology is modular in nature and number of source module can be increased for more levels of output voltage. The implementation ofMPC control ofthe proposed MLI has been discussed and it was observed that the output load current follows the reference input. Further, a comparison study is presented between the open loop Phase Disposition PWM (PDPWM) control and Model predictive control. A significant reduction of 92% in voltage THD and 99% reduction in current ripple was observed in the MPC control.","PeriodicalId":170822,"journal":{"name":"2018 National Power Engineering Conference (NPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 National Power Engineering Conference (NPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPEC.2018.8476793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The importance of renewable energy sources has fostered the development of new multilevel inverter (MLI) topologies to increase the reliability and robustness of inverter systems. Switched Capacitor MLI (SCMLI) is an alternative inverter with reduced power supplies compared to conventional inverter. It has self-voltage balancing and boosting capability. In this paper, a new three phase SCMLI topology and its closed loop control using Model Predictive Control (MPC) for output load current is presented. The proposed MLI topology is modular in nature and number of source module can be increased for more levels of output voltage. The implementation ofMPC control ofthe proposed MLI has been discussed and it was observed that the output load current follows the reference input. Further, a comparison study is presented between the open loop Phase Disposition PWM (PDPWM) control and Model predictive control. A significant reduction of 92% in voltage THD and 99% reduction in current ripple was observed in the MPC control.
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
基于模型预测控制技术的新型三相开关电容多电平逆变器闭环控制
可再生能源的重要性促进了新的多电平逆变器(MLI)拓扑结构的发展,以提高逆变器系统的可靠性和鲁棒性。与传统逆变器相比,开关电容MLI (SCMLI)是一种可替代的逆变器,其功率供应减少。具有自平衡升压能力。本文提出了一种新的三相SCMLI拓扑结构,并利用模型预测控制(MPC)对输出负载电流进行闭环控制。所提出的MLI拓扑结构本质上是模块化的,并且可以增加源模块的数量以获得更高水平的输出电压。讨论了所提出的MLI的mpc控制实现,并观察到输出负载电流跟随参考输入。此外,还对开环相位配置PWM (PDPWM)控制与模型预测控制进行了比较研究。在MPC控制中,电压THD显著降低92%,电流纹波显著降低99%。
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
Optimized Self-Healing of Networked Microgrids using Differential Evolution Algorithm Phase Locked Loop for controlling inverter interfaced with grid connected solar PV system Role of Deregulation in Power Sector and Its Status in India Design and Development of Distance Protection Scheme for Wind Power Distributed Generation Crowbar Implementation for DFIG Wind Turbine using Fuzzy Logic Control
×
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