Improved LVRT control in grid tied hybrid renewable energy system with optimized high gain converter

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
G. Ezhilarasi , R. Senthil Kumar
{"title":"Improved LVRT control in grid tied hybrid renewable energy system with optimized high gain converter","authors":"G. Ezhilarasi ,&nbsp;R. Senthil Kumar","doi":"10.1016/j.jii.2025.100878","DOIUrl":null,"url":null,"abstract":"<div><div>This research introduces advanced Low Voltage Ride through (LVRT) control strategies designed to enhance the resilience and stability of grid-connected wind and solar power generation systems. This LVRT control method is intended to efficiently infuse reactive power into grid according to grid code rules, using a Voltage Source Inverter (VSI). The proposed approach employs a LVRT method that determines the injection quantities of reactive and active currents. The strategy's adaptability is contingent upon the dropping ratio grid voltage, ensuring a dynamic response to varying grid conditions. For solar power production systems, the Photovoltaic (PV) voltage is augmented through the implementation of a Modified High Gain Boost Converter. This converter is equipped with a Chaotic Pigeon Optimized Proportional-Integral (CPO-PI) controller, providing an innovative solution for enhancing voltage levels in PV systems. The chaotic pigeon optimization aids in fine-tuning the PI controller, optimizing its performance for varying operational conditions. In the case of wind power generation systems, the control of Doubly-Fed Induction Generator (DFIG) based Wind Energy Conversion Systems (WECS) is achieved through a conventional PI controller. The entire work is simulated using Matlab Simulink platform and the attained outcomes prove that the developed work has highest conversion efficiency of 97.1 %. The integration of these strategies ensures an improved response to grid disturbances and voltage fluctuations, ultimately enhancing the overall performance and reliability of grid-connected renewable energy systems.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"47 ","pages":"Article 100878"},"PeriodicalIF":10.4000,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial Information Integration","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452414X25001013","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

This research introduces advanced Low Voltage Ride through (LVRT) control strategies designed to enhance the resilience and stability of grid-connected wind and solar power generation systems. This LVRT control method is intended to efficiently infuse reactive power into grid according to grid code rules, using a Voltage Source Inverter (VSI). The proposed approach employs a LVRT method that determines the injection quantities of reactive and active currents. The strategy's adaptability is contingent upon the dropping ratio grid voltage, ensuring a dynamic response to varying grid conditions. For solar power production systems, the Photovoltaic (PV) voltage is augmented through the implementation of a Modified High Gain Boost Converter. This converter is equipped with a Chaotic Pigeon Optimized Proportional-Integral (CPO-PI) controller, providing an innovative solution for enhancing voltage levels in PV systems. The chaotic pigeon optimization aids in fine-tuning the PI controller, optimizing its performance for varying operational conditions. In the case of wind power generation systems, the control of Doubly-Fed Induction Generator (DFIG) based Wind Energy Conversion Systems (WECS) is achieved through a conventional PI controller. The entire work is simulated using Matlab Simulink platform and the attained outcomes prove that the developed work has highest conversion efficiency of 97.1 %. The integration of these strategies ensures an improved response to grid disturbances and voltage fluctuations, ultimately enhancing the overall performance and reliability of grid-connected renewable energy systems.
优化高增益变换器改进并网混合可再生能源系统LVRT控制
本研究介绍了先进的低电压穿越(LVRT)控制策略,旨在提高并网风能和太阳能发电系统的弹性和稳定性。这种LVRT控制方法旨在利用电压源逆变器(VSI)根据电网规范规则有效地向电网注入无功功率。该方法采用LVRT方法来确定无功电流和有功电流的注入量。该策略的适应性取决于电网电压的下降比,确保了对不同电网条件的动态响应。对于太阳能发电系统,光伏(PV)电压通过改进的高增益升压转换器的实现而增强。该转换器配备了一个混沌鸽子优化比例积分(CPO-PI)控制器,为提高光伏系统的电压水平提供了一种创新的解决方案。混沌鸽子优化有助于对PI控制器进行微调,优化其在不同操作条件下的性能。以风力发电系统为例,基于双馈感应发电机(DFIG)的风能转换系统(WECS)的控制是通过传统的PI控制器实现的。在Matlab Simulink平台上对整个工作进行了仿真,结果表明所开发的工作具有97.1%的最高转换效率。这些策略的整合确保了对电网干扰和电压波动的更好响应,最终提高了并网可再生能源系统的整体性能和可靠性。
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
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
×
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