A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications

Power systems are crucial for low-carbon energy applications. Condition maintenance plays a vital role in reducing the maintenance cost of renewable power systems without sacrificing system reliability. This paper proposes a hybrid method to effectively deal with the operational changes and uncertai...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Li Xiang, Haitao Sang, Fayi Qu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	renewable energy power system offshore substation multi-objective evolutionary algorithm type 2 fuzzy logic minimum cut set General Works A
Acceso en línea:	https://doaj.org/article/dc770eb817384f6e8740b681f24872e8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:dc770eb817384f6e8740b681f24872e8
record_format	dspace
spelling	oai:doaj.org-article:dc770eb817384f6e8740b681f24872e82021-12-03T04:49:25ZA Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications2296-598X10.3389/fenrg.2021.762360https://doaj.org/article/dc770eb817384f6e8740b681f24872e82021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.762360/fullhttps://doaj.org/toc/2296-598XPower systems are crucial for low-carbon energy applications. Condition maintenance plays a vital role in reducing the maintenance cost of renewable power systems without sacrificing system reliability. This paper proposes a hybrid method to effectively deal with the operational changes and uncertainties of state maintenance within the power system of renewable energy applications. Specifically, a multi-objective evolutionary algorithm is first adopted to maintain key components when only considering system variables and overall performance. During operation, numerous variations in offshore substations are detected from power grids and other equipment, such as continuous aging, weather, load factors, measurement, and human-judgment factors. Then, the advisor implements a system optimization maintenance plan in the substation, which can predict changes in load reliability based on the type 2 fuzzy logic and hidden Markov model technology. The reliability of the load point of each substation would also be obtained. Illustrative results indicate that these serious deteriorations would cause substation for the re-optimization maintenance and optimization activities to meet expected reliability. Through connecting an offshore substation to a medium-sized offshore substation, the uncertainties in condition-based maintenance of renewable energy applications can be well handled.Li XiangHaitao SangFayi QuFrontiers Media S.A.articlerenewable energypower systemoffshore substationmulti-objective evolutionary algorithmtype 2 fuzzy logicminimum cut setGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	renewable energy power system offshore substation multi-objective evolutionary algorithm type 2 fuzzy logic minimum cut set General Works A
spellingShingle	renewable energy power system offshore substation multi-objective evolutionary algorithm type 2 fuzzy logic minimum cut set General Works A Li Xiang Haitao Sang Fayi Qu A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications
description	Power systems are crucial for low-carbon energy applications. Condition maintenance plays a vital role in reducing the maintenance cost of renewable power systems without sacrificing system reliability. This paper proposes a hybrid method to effectively deal with the operational changes and uncertainties of state maintenance within the power system of renewable energy applications. Specifically, a multi-objective evolutionary algorithm is first adopted to maintain key components when only considering system variables and overall performance. During operation, numerous variations in offshore substations are detected from power grids and other equipment, such as continuous aging, weather, load factors, measurement, and human-judgment factors. Then, the advisor implements a system optimization maintenance plan in the substation, which can predict changes in load reliability based on the type 2 fuzzy logic and hidden Markov model technology. The reliability of the load point of each substation would also be obtained. Illustrative results indicate that these serious deteriorations would cause substation for the re-optimization maintenance and optimization activities to meet expected reliability. Through connecting an offshore substation to a medium-sized offshore substation, the uncertainties in condition-based maintenance of renewable energy applications can be well handled.
format	article
author	Li Xiang Haitao Sang Fayi Qu
author_facet	Li Xiang Haitao Sang Fayi Qu
author_sort	Li Xiang
title	A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications
title_short	A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications
title_full	A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications
title_fullStr	A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications
title_full_unstemmed	A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications
title_sort	type 2 fuzzy logic–based maintenance solution for power system in renewable energy applications
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/dc770eb817384f6e8740b681f24872e8
work_keys_str_mv	AT lixiang atype2fuzzylogicbasedmaintenancesolutionforpowersysteminrenewableenergyapplications AT haitaosang atype2fuzzylogicbasedmaintenancesolutionforpowersysteminrenewableenergyapplications AT fayiqu atype2fuzzylogicbasedmaintenancesolutionforpowersysteminrenewableenergyapplications AT lixiang type2fuzzylogicbasedmaintenancesolutionforpowersysteminrenewableenergyapplications AT haitaosang type2fuzzylogicbasedmaintenancesolutionforpowersysteminrenewableenergyapplications AT fayiqu type2fuzzylogicbasedmaintenancesolutionforpowersysteminrenewableenergyapplications
_version_	1718373959513145344

A Type 2 Fuzzy Logic–Based Maintenance Solution for Power System in Renewable Energy Applications

Ejemplares similares