Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.

In this paper, a new innovative type-2 fuzzy-based for microgrid (MG) islanding detection is proposed in the condition of uncertainties. Load and generation uncertainties are two main sources of uncertainties in microgrids (MGs). Regardless of the uncertainties, the results cannot be confirmed. The...

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Autores principales:	Taghi Hosseinzadeh Khonakdari, Mehrdad Ahmadi Kamarposhti
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6d62e09efe8046cfb658110c24de50ed
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spelling	oai:doaj.org-article:6d62e09efe8046cfb658110c24de50ed2021-12-02T20:14:06ZReal-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.1932-620310.1371/journal.pone.0257830https://doaj.org/article/6d62e09efe8046cfb658110c24de50ed2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257830https://doaj.org/toc/1932-6203In this paper, a new innovative type-2 fuzzy-based for microgrid (MG) islanding detection is proposed in the condition of uncertainties. Load and generation uncertainties are two main sources of uncertainties in microgrids (MGs). Regardless of the uncertainties, the results cannot be confirmed. The proposed controller detects islanding in the fastest time under different conditions, and the uncertainties in the system will not considerably affect the controller's performance. The proposed method is simulated on the sample system and examined in different scenarios. Then, a comparison is made in different conditions and scenarios between the suggested method and some common methods that have been presented so far to demonstrate the ability of the proposed method for islanding detection.Taghi Hosseinzadeh KhonakdariMehrdad Ahmadi KamarposhtiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257830 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Taghi Hosseinzadeh Khonakdari Mehrdad Ahmadi Kamarposhti Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.
description	In this paper, a new innovative type-2 fuzzy-based for microgrid (MG) islanding detection is proposed in the condition of uncertainties. Load and generation uncertainties are two main sources of uncertainties in microgrids (MGs). Regardless of the uncertainties, the results cannot be confirmed. The proposed controller detects islanding in the fastest time under different conditions, and the uncertainties in the system will not considerably affect the controller's performance. The proposed method is simulated on the sample system and examined in different scenarios. Then, a comparison is made in different conditions and scenarios between the suggested method and some common methods that have been presented so far to demonstrate the ability of the proposed method for islanding detection.
format	article
author	Taghi Hosseinzadeh Khonakdari Mehrdad Ahmadi Kamarposhti
author_facet	Taghi Hosseinzadeh Khonakdari Mehrdad Ahmadi Kamarposhti
author_sort	Taghi Hosseinzadeh Khonakdari
title	Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.
title_short	Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.
title_full	Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.
title_fullStr	Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.
title_full_unstemmed	Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.
title_sort	real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and pso algorithm.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/6d62e09efe8046cfb658110c24de50ed
work_keys_str_mv	AT taghihosseinzadehkhonakdari realtimedetectionofmicrogridislandingconsideringsourcesofuncertaintyusingtype2fuzzylogicandpsoalgorithm AT mehrdadahmadikamarposhti realtimedetectionofmicrogridislandingconsideringsourcesofuncertaintyusingtype2fuzzylogicandpsoalgorithm
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Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm.

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