Ant-Lion Optimizer algorithm based Fractional order Proportional-Integral-Derivative controllers for islanded operation of an inverter based microgrid

Srikanth Bondalapati, A. Chandel
{"title":"Ant-Lion Optimizer algorithm based Fractional order Proportional-Integral-Derivative controllers for islanded operation of an inverter based microgrid","authors":"Srikanth Bondalapati, A. Chandel","doi":"10.1109/KPEC51835.2021.9446266","DOIUrl":null,"url":null,"abstract":"In the present work an Ant-Lion Optimizer (ALO) based Fractional Order PID (FOPID) controllers are used in an islanded voltage source inverter (VSI) based microgrid system to maintain the grid node voltages at the set values. To demonstrate the effectiveness of the designed FOPIDs a 3-bus microgrid system has been designed having three Distributed Generators (DGs). ALO technique tunes the FOPID controller's parameters thereby, providing the desired node voltages and the grid frequency even when the system undergoes different operating conditions. The controller's performance is assessed for disturbances like switching of loads. Subsequently, comparison of performance between ALO based FOPID controllers with other types of controllers such as PSO based FOPID controllers have been carried out. The results show that the ALO based FOPID controllers exhibit improved performance of the microgrid.","PeriodicalId":392538,"journal":{"name":"2021 IEEE Kansas Power and Energy Conference (KPEC)","volume":"46 27","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Kansas Power and Energy Conference (KPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KPEC51835.2021.9446266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the present work an Ant-Lion Optimizer (ALO) based Fractional Order PID (FOPID) controllers are used in an islanded voltage source inverter (VSI) based microgrid system to maintain the grid node voltages at the set values. To demonstrate the effectiveness of the designed FOPIDs a 3-bus microgrid system has been designed having three Distributed Generators (DGs). ALO technique tunes the FOPID controller's parameters thereby, providing the desired node voltages and the grid frequency even when the system undergoes different operating conditions. The controller's performance is assessed for disturbances like switching of loads. Subsequently, comparison of performance between ALO based FOPID controllers with other types of controllers such as PSO based FOPID controllers have been carried out. The results show that the ALO based FOPID controllers exhibit improved performance of the microgrid.
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
基于蚁狮优化算法的逆变微电网孤岛运行分数阶比例-积分-导数控制器
本文将基于蚁狮优化器(ALO)的分数阶PID (FOPID)控制器应用于基于孤岛电压源逆变器(VSI)的微电网系统中,使电网节点电压保持在设定值。为了验证所设计的FOPIDs的有效性,设计了一个具有3个分布式发电机(dg)的3总线微电网系统。ALO技术调整FOPID控制器的参数,从而提供所需的节点电压和电网频率,即使系统经历不同的工作条件。针对负载切换等干扰对控制器的性能进行了评估。随后,将基于ALO的FOPID控制器与其他类型的控制器(如基于PSO的FOPID控制器)的性能进行了比较。结果表明,基于ALO的FOPID控制器具有较好的微电网性能。
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
Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks Node Voltage Estimation of Distribution System Using Artificial Neural Network Considering Weather Data Dual-pole Line Start PM Motor With Variable Coil Number for Applications With Constant Load Torque Techno-Economic Assessment of Voltage Stability Improvement Using SSSC and STATCOM in a Wind-Dominated Power System Frequency Stability Analysis of the Sending Subsystem in an Interconnected Power System with HVDC Links
×
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