A Novel Two-Stage Hybrid Anti-Islanding Protection Scheme and Nondetection Zones Analysis of Inverter-Based Generations

Rakesh Shamrao Patekar;Bijaya Ketan Panigrahi
{"title":"A Novel Two-Stage Hybrid Anti-Islanding Protection Scheme and Nondetection Zones Analysis of Inverter-Based Generations","authors":"Rakesh Shamrao Patekar;Bijaya Ketan Panigrahi","doi":"10.1109/JESTIE.2024.3381007","DOIUrl":null,"url":null,"abstract":"Emerging challenges in anti-islanding protection systems have arisen due to increased load diversity and the widespread adoption of inverter-based generation (IBG) within the electrical power distribution system. The scientific literature must comprehensively analyze diverse load models and their impact on islanding detection techniques. To address this, the research presented in this article develops a novel two-stage hybrid anti-islanding protection strategy based on total harmonic distortion and absolute frequency deviation. Further, a detailed analysis of different load models, including emerging EV charging loads and their impact on nondetection zones, has been presented. The numerous islanding and nonislanding test cases have been simulated to evaluate the performance of the proposed method. The experimental validation of the proposed approach was carried out using Typhoon-Hardware-in-loop and a real-time digital simulator based test setup. The proposed methodology operates quickly and can identify an islanding event in less than 120 ms.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"5 3","pages":"1204-1215"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10478146/","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

Emerging challenges in anti-islanding protection systems have arisen due to increased load diversity and the widespread adoption of inverter-based generation (IBG) within the electrical power distribution system. The scientific literature must comprehensively analyze diverse load models and their impact on islanding detection techniques. To address this, the research presented in this article develops a novel two-stage hybrid anti-islanding protection strategy based on total harmonic distortion and absolute frequency deviation. Further, a detailed analysis of different load models, including emerging EV charging loads and their impact on nondetection zones, has been presented. The numerous islanding and nonislanding test cases have been simulated to evaluate the performance of the proposed method. The experimental validation of the proposed approach was carried out using Typhoon-Hardware-in-loop and a real-time digital simulator based test setup. The proposed methodology operates quickly and can identify an islanding event in less than 120 ms.
一种新型两级混合反孤岛保护方案和逆变器发电设备的非检测区分析
由于配电系统中负载多样性的增加和逆变器发电(IBG)的广泛采用,防孤岛保护系统面临着新的挑战。科学文献必须全面分析不同的负载模型及其对孤岛检测技术的影响。针对这一问题,本文的研究基于总谐波失真和绝对频率偏差,开发了一种新型的两阶段混合反孤岛保护策略。此外,还详细分析了不同的负载模型,包括新兴的电动汽车充电负载及其对非检测区域的影响。为评估所提方法的性能,模拟了大量孤岛和非孤岛测试案例。使用 Typhoon-Hardware-in-loop 和基于实时数字模拟器的测试装置对提出的方法进行了实验验证。所提方法运行迅速,可在 120 毫秒内识别孤岛事件。
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