Modified passive anti-islanding scheme with dual indices and u-transform-based state estimation

IF 3.3 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research Pub Date : 2025-05-23 DOI:10.1016/j.epsr.2025.111858

Huma Umber Naz , Faisal Mumtaz , Kashif Imran , Syed Basit Ali Bukhari

{"title":"Modified passive anti-islanding scheme with dual indices and u-transform-based state estimation","authors":"Huma Umber Naz , Faisal Mumtaz , Kashif Imran , Syed Basit Ali Bukhari","doi":"10.1016/j.epsr.2025.111858","DOIUrl":null,"url":null,"abstract":"<div><div>Microgrids are localized energy networks capable of operating independently or in coordination with the main grid, enhancing reliability and flexibility. Islanding detection is critical to ensuring safe microgrid operation by identifying unintended isolation from the main grid. This paper proposes a passive islanding detection method based on dual indices using the Unscented Transform (UT)-based Unscented Kalman Filter (UKF) algorithm. The three-phase voltage signature, acquired at the Point of Common Coupling (PCC)/Distributed Generation (DG) terminal, undergoes preprocessing before being fed into the UKF. The UKF performs state estimation and detects islanding through two novel indices: the Squared Summation of Segregated Voltage (SSSV) and the Cumulative Total Harmonic Distortion (CTHD). Islanding and non-islanding events are distinguished by comparing these indices against predefined thresholds. The proposed method is validated using the IEEE-13 bus test system in MATLAB/Simulink (2023a), demonstrating high efficiency, 98 % accuracy, and a rapid detection time of 0.5 ms. Additionally, the technique exhibits a minimal Non-Detection Zone (NDZ), ensuring robust performance under various grid conditions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111858"},"PeriodicalIF":3.3000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625004493","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

Microgrids are localized energy networks capable of operating independently or in coordination with the main grid, enhancing reliability and flexibility. Islanding detection is critical to ensuring safe microgrid operation by identifying unintended isolation from the main grid. This paper proposes a passive islanding detection method based on dual indices using the Unscented Transform (UT)-based Unscented Kalman Filter (UKF) algorithm. The three-phase voltage signature, acquired at the Point of Common Coupling (PCC)/Distributed Generation (DG) terminal, undergoes preprocessing before being fed into the UKF. The UKF performs state estimation and detects islanding through two novel indices: the Squared Summation of Segregated Voltage (SSSV) and the Cumulative Total Harmonic Distortion (CTHD). Islanding and non-islanding events are distinguished by comparing these indices against predefined thresholds. The proposed method is validated using the IEEE-13 bus test system in MATLAB/Simulink (2023a), demonstrating high efficiency, 98 % accuracy, and a rapid detection time of 0.5 ms. Additionally, the technique exhibits a minimal Non-Detection Zone (NDZ), ensuring robust performance under various grid conditions.

查看原文本刊更多论文

基于u-变换状态估计的双指标改进被动抗孤岛方案

微电网是能够独立运行或与主电网协调运行的局部能源网络，可提高可靠性和灵活性。孤岛检测通过识别与主电网的意外隔离，对于确保微电网的安全运行至关重要。本文提出了一种基于Unscented变换（UT）的Unscented卡尔曼滤波（UKF）算法的双指标被动孤岛检测方法。在公共耦合点(PCC)/分布式发电（DG）终端获得的三相电压特征在馈送到UKF之前经过预处理。UKF通过分离电压平方和（SSSV）和累计总谐波失真（CTHD）两个新指标进行状态估计和孤岛检测。通过将这些指数与预定义的阈值进行比较，可以区分孤岛事件和非孤岛事件。在MATLAB/Simulink （2023a）的IEEE-13总线测试系统上对该方法进行了验证，结果表明该方法效率高，准确率高达98%，检测时间仅为0.5 ms。此外，该技术具有最小的非检测区（NDZ），确保了在各种网格条件下的稳健性能。

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分钟内获得全文求助全文

来源期刊

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.