A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System

Detection of unintentional islanding, defined as inadvertently separation of distributed generators (DGs) from the utility grid, is a major challenging issue for modern distribution networks. Islanding detection becomes problematic especially when the local generation matches or closely matches the...

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Autores principales:	Arif Hussain, Chul-Hwan Kim, Arif Mehdi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Active islanding schemes distribution generation electrical power system intelligent-classifiers islanding detection microgrids Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/17bf18fe3ee4482bbc51fe013c001729
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spelling	oai:doaj.org-article:17bf18fe3ee4482bbc51fe013c0017292021-11-09T00:03:02ZA Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System2169-353610.1109/ACCESS.2021.3123382https://doaj.org/article/17bf18fe3ee4482bbc51fe013c0017292021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9590485/https://doaj.org/toc/2169-3536Detection of unintentional islanding, defined as inadvertently separation of distributed generators (DGs) from the utility grid, is a major challenging issue for modern distribution networks. Islanding detection becomes problematic especially when the local generation matches or closely matches the local load. Therefore, there are strict requirements for accurate, fast, and reliable islanding detection of renewables and DG-based systems. Various islanding schemes have been proposed in the literature, which can be categorized as remote, local, and intelligent-classifier-based schemes. Recently, intelligent schemes have gained attention due to their superior properties and advantages relative to traditional approaches. This paper overviews the shift in research from traditional schemes to intelligent islanding schemes. It also highlights the major obstacles, challenges, advantages and disadvantages, and future research directions of intelligent schemes. In this study, the intelligent-classifier-based islanding detection schemes presented over the last decade are analyzed objectively and comprehensively from all aspects of islanding detection. This research further highlights feature selection schemes and the most common parameters used for islanding detection. Finally, based on a detailed and critical analysis, the findings and potential recommendations are presented.Arif HussainChul-Hwan KimArif MehdiIEEEarticleActive islanding schemesdistribution generationelectrical power systemintelligent-classifiersislanding detectionmicrogridsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 146603-146624 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Active islanding schemes distribution generation electrical power system intelligent-classifiers islanding detection microgrids Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Active islanding schemes distribution generation electrical power system intelligent-classifiers islanding detection microgrids Electrical engineering. Electronics. Nuclear engineering TK1-9971 Arif Hussain Chul-Hwan Kim Arif Mehdi A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System
description	Detection of unintentional islanding, defined as inadvertently separation of distributed generators (DGs) from the utility grid, is a major challenging issue for modern distribution networks. Islanding detection becomes problematic especially when the local generation matches or closely matches the local load. Therefore, there are strict requirements for accurate, fast, and reliable islanding detection of renewables and DG-based systems. Various islanding schemes have been proposed in the literature, which can be categorized as remote, local, and intelligent-classifier-based schemes. Recently, intelligent schemes have gained attention due to their superior properties and advantages relative to traditional approaches. This paper overviews the shift in research from traditional schemes to intelligent islanding schemes. It also highlights the major obstacles, challenges, advantages and disadvantages, and future research directions of intelligent schemes. In this study, the intelligent-classifier-based islanding detection schemes presented over the last decade are analyzed objectively and comprehensively from all aspects of islanding detection. This research further highlights feature selection schemes and the most common parameters used for islanding detection. Finally, based on a detailed and critical analysis, the findings and potential recommendations are presented.
format	article
author	Arif Hussain Chul-Hwan Kim Arif Mehdi
author_facet	Arif Hussain Chul-Hwan Kim Arif Mehdi
author_sort	Arif Hussain
title	A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System
title_short	A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System
title_full	A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System
title_fullStr	A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System
title_full_unstemmed	A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System
title_sort	comprehensive review of intelligent islanding schemes and feature selection techniques for distributed generation system
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/17bf18fe3ee4482bbc51fe013c001729
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A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System

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