Optimal load frequency control of hybrid renewable energy system using PSO and LQR

G. Shankar, S. Lakshmi, N. Nagarjuna
{"title":"Optimal load frequency control of hybrid renewable energy system using PSO and LQR","authors":"G. Shankar, S. Lakshmi, N. Nagarjuna","doi":"10.1109/ICPACE.2015.7274942","DOIUrl":null,"url":null,"abstract":"This paper presents the load frequency control of hybrid renewable energy system (HRES) with varying load demand and solar radiation using particle swarm optimization (PSO) based tuned controller and classical state feedback technique like linear quadratic regulator (LQR). To analyze the performance of PSO and LQR on load frequency control, HRES with three component configuration is modeled in MATLAB/SIMULINKR environment. The HRES studied consist a photovoltaic module, a diesel engine generator (DEG) and a battery energy storage system (BESS). Solar radiation and load demand is not constant throughout the day and night. Hence, HRES system requires controllers and other components like DEG and BESS to mitigate the frequency deviation. The optimal frequency deviation response for HRES is obtained using PSO optimized controller and with LQR is compared and presented.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"43 1","pages":"195-199"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPACE.2015.7274942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This paper presents the load frequency control of hybrid renewable energy system (HRES) with varying load demand and solar radiation using particle swarm optimization (PSO) based tuned controller and classical state feedback technique like linear quadratic regulator (LQR). To analyze the performance of PSO and LQR on load frequency control, HRES with three component configuration is modeled in MATLAB/SIMULINKR environment. The HRES studied consist a photovoltaic module, a diesel engine generator (DEG) and a battery energy storage system (BESS). Solar radiation and load demand is not constant throughout the day and night. Hence, HRES system requires controllers and other components like DEG and BESS to mitigate the frequency deviation. The optimal frequency deviation response for HRES is obtained using PSO optimized controller and with LQR is compared and presented.
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PSO和LQR的混合可再生能源系统最优负荷频率控制
采用基于粒子群优化(PSO)的调谐控制器和线性二次型调节器(LQR)等经典状态反馈技术,对负荷需求和太阳辐射变化的混合可再生能源系统(HRES)进行了负荷频率控制。为了分析PSO和LQR在负载频率控制中的性能,在MATLAB/SIMULINKR环境下对三分量配置的HRES进行了建模。研究的HRES包括一个光伏组件、一个柴油发动机发电机(DEG)和一个电池储能系统(BESS)。太阳辐射和负荷需求在白天和晚上不是恒定的。因此,HRES系统需要控制器和其他组件(如DEG和BESS)来减轻频率偏差。比较了PSO优化控制器和LQR控制器对HRES的最优频差响应。
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
Asset management in smart grids using improved Dissolved Gas Analysis PLC based intelligent power factor correctors for industrial power systems-A case study A multiple environment dispatch problem solution using ant colony optimization for micro-grids Modeling, simulation and comparative study of new compound alloy based P-I-N solar cells - An efficient way of energy management Modeling and analysis of 6 pulse rectifier used in HVDC link
×
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