Nauman Ali Larik, L. L. Zhang, M. S. Li, Q. H. Wu
求助PDF
{"title":"A Passive Islanding Detection Method for Power System Connected with Multiple Distributed Generations Using an Unscented Kalman Filter","authors":"Nauman Ali Larik, L. L. Zhang, M. S. Li, Q. H. Wu","doi":"10.1002/tee.70174","DOIUrl":null,"url":null,"abstract":"<p>The integration of distributed generations (DGs) powered by renewable energy sources into the power grid has attracted a lot of interest. Despite the many benefits of distributed energy resources (DER), unintentional islanding remains a severe problem that endangers working employees, causes power quality deviation, poses a risk to power utility equipment, and out-of-phase connection may arise because of rapid reclosing. This paper provides an innovative passive islanding detection approach (PIDA) formulated on an unscented Kalman filter (UKF) that is suited for numerous distributed generations. The unscented transformation (UT) overcomes the linear Kalman filter's limitation for higher-order terms in the Taylor series. The suggested approach computes selected harmonic distortion from three voltage recorded at the point of common coupling (PCC). The performance of the proposed technique is thoroughly investigated using IEEE-13 bus system simulation in MATLAB/Simulink. In addition, various non-islanding events with significant inductive load and fault conditions have been observed to test for nuisance tripping. Evaluation of the results reveals that the proposed passive method with less computation burden provides rapid detection with a negligible non-detection zone and distinguishes islanding and normal state effectively. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"647-656"},"PeriodicalIF":1.0000,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.70174","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/15 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
引用
批量引用
Abstract
The integration of distributed generations (DGs) powered by renewable energy sources into the power grid has attracted a lot of interest. Despite the many benefits of distributed energy resources (DER), unintentional islanding remains a severe problem that endangers working employees, causes power quality deviation, poses a risk to power utility equipment, and out-of-phase connection may arise because of rapid reclosing. This paper provides an innovative passive islanding detection approach (PIDA) formulated on an unscented Kalman filter (UKF) that is suited for numerous distributed generations. The unscented transformation (UT) overcomes the linear Kalman filter's limitation for higher-order terms in the Taylor series. The suggested approach computes selected harmonic distortion from three voltage recorded at the point of common coupling (PCC). The performance of the proposed technique is thoroughly investigated using IEEE-13 bus system simulation in MATLAB/Simulink. In addition, various non-islanding events with significant inductive load and fault conditions have been observed to test for nuisance tripping. Evaluation of the results reveals that the proposed passive method with less computation burden provides rapid detection with a negligible non-detection zone and distinguishes islanding and normal state effectively. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
基于无嗅卡尔曼滤波的多分布式电网无源孤岛检测方法
将可再生能源驱动的分布式发电系统(dg)集成到电网中引起了人们的广泛关注。尽管分布式能源(DER)有许多好处,但无意的孤岛仍然是一个严重的问题,它危及工作人员,导致电能质量偏差,给电力公用设备带来风险,并且可能由于快速重合闸而导致失相连接。本文提出了一种创新的被动孤岛检测方法(PIDA),该方法是在无气味卡尔曼滤波器(UKF)的基础上制定的,适用于多个分布式代。unscented变换(UT)克服了线性卡尔曼滤波器对泰勒级数中高阶项的限制。该方法计算了在共耦合点(PCC)记录的三个电压的谐波畸变。利用MATLAB/Simulink对IEEE-13总线系统进行仿真,对该技术的性能进行了深入的研究。此外,还观察了具有显著感性负载和故障条件的各种非孤岛事件,以测试有害跳闸。结果表明,该被动检测方法计算量小,可在可忽略的非检测区进行快速检测,并能有效区分孤岛和正常状态。©2025日本电气工程师协会和Wiley期刊有限责任公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。