A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis

In general the power quality diagnosis of low-voltage electrical systems is a difficult issue due to the nuances of different power quality standards around the world and the uncertainties characteristics of the evaluation parameters. In this framework, this paper proposes a new methodology for diag...

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Bibliographic Details
Authors: Nolasco, Diego Habib Santos, Palmeira, Eduardo Silva, Costa, Flávio Bezerra
Format: article
Status:Published version
Publication Date:2019
Country:Brasil
Institution:Universidade Federal do Rio Grande do Norte (UFRN)
Repository:Repositório Institucional da UFRN
Language:English
OAI Identifier:oai:repositorio.ufrn.br:123456789/29807
Online Access:https://repositorio.ufrn.br/jspui/handle/123456789/29807
Access Level:Open access
Keyword:Hierarchical fuzzy system
Aggregate fuzzy inference
Additional defuzzification of layers
Diagnosis
Power quality
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spelling A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosisHierarchical fuzzy systemAggregate fuzzy inferenceAdditional defuzzification of layersDiagnosisPower qualityIn general the power quality diagnosis of low-voltage electrical systems is a difficult issue due to the nuances of different power quality standards around the world and the uncertainties characteristics of the evaluation parameters. In this framework, this paper proposes a new methodology for diagnosing the power quality by means of a cascade-type hierarchical fuzzy system with additional defuzzification of layers (C-HFS-ADL), also proposed in this paper, which is able to evaluate the power quality indices in steady-state (total harmonic distortions, power factor, voltage variation, and unbalance voltage) considering several standards and provides a proper and complete diagnosis of the power quality in electrical systems. In the proposed C-HFS-ADL each output of a subsystem is transferred between inner layers of the hierarchical system and a total power quality diagnosis is obtained taking into account a secondary decision-making process with additional defuzzification in order to have a partial diagnosis for each subsystem of the hierarchy. In addition, an algorithm was implemented considering different inference systems for analyzing the behavior of the C-HFS-ADL on a database (power quality indices) obtained from a real electrical substation for observing its advantages and disadvantagesElsevier2020-08-12T21:14:00Z2020-08-12T21:14:00Z2019-04-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleNOLASCO, D.H.S.; PALMEIRA, E.S.; COSTA, F.B.. A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis. Applied Soft Computing, [s.l.], v. 80, p. 657-671, jul. 2019. Elsevier BV. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S1568494619300675?via%3Dihub#!. Acesso em: 10 ago. 2020. https://doi.org/10.1016/j.asoc.2019.02.0071568-4946https://repositorio.ufrn.br/jspui/handle/123456789/2980710.1016/j.asoc.2019.02.007ark:/41046/001300001p46rengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessNolasco, Diego Habib SantosPalmeira, Eduardo SilvaCosta, Flávio Bezerra2022-12-14T22:59:29Zoai:repositorio.ufrn.br:123456789/29807Repositório InstitucionalPUBhttp://repositorio.ufrn.br/oai/repositorio@bczm.ufrn.bropendoar:2022-12-14T22:59:29Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.none.fl_str_mv A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
title A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
spellingShingle A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
Nolasco, Diego Habib Santos
Hierarchical fuzzy system
Aggregate fuzzy inference
Additional defuzzification of layers
Diagnosis
Power quality
title_short A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
title_full A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
title_fullStr A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
title_full_unstemmed A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
title_sort A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
dc.creator.none.fl_str_mv Nolasco, Diego Habib Santos
Palmeira, Eduardo Silva
Costa, Flávio Bezerra
author Nolasco, Diego Habib Santos
author_facet Nolasco, Diego Habib Santos
Palmeira, Eduardo Silva
Costa, Flávio Bezerra
author_role author
author2 Palmeira, Eduardo Silva
Costa, Flávio Bezerra
author2_role author
author
dc.subject.por.fl_str_mv Hierarchical fuzzy system
Aggregate fuzzy inference
Additional defuzzification of layers
Diagnosis
Power quality
topic Hierarchical fuzzy system
Aggregate fuzzy inference
Additional defuzzification of layers
Diagnosis
Power quality
description In general the power quality diagnosis of low-voltage electrical systems is a difficult issue due to the nuances of different power quality standards around the world and the uncertainties characteristics of the evaluation parameters. In this framework, this paper proposes a new methodology for diagnosing the power quality by means of a cascade-type hierarchical fuzzy system with additional defuzzification of layers (C-HFS-ADL), also proposed in this paper, which is able to evaluate the power quality indices in steady-state (total harmonic distortions, power factor, voltage variation, and unbalance voltage) considering several standards and provides a proper and complete diagnosis of the power quality in electrical systems. In the proposed C-HFS-ADL each output of a subsystem is transferred between inner layers of the hierarchical system and a total power quality diagnosis is obtained taking into account a secondary decision-making process with additional defuzzification in order to have a partial diagnosis for each subsystem of the hierarchy. In addition, an algorithm was implemented considering different inference systems for analyzing the behavior of the C-HFS-ADL on a database (power quality indices) obtained from a real electrical substation for observing its advantages and disadvantages
publishDate 2019
dc.date.none.fl_str_mv 2019-04-04
2020-08-12T21:14:00Z
2020-08-12T21:14:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv NOLASCO, D.H.S.; PALMEIRA, E.S.; COSTA, F.B.. A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis. Applied Soft Computing, [s.l.], v. 80, p. 657-671, jul. 2019. Elsevier BV. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S1568494619300675?via%3Dihub#!. Acesso em: 10 ago. 2020. https://doi.org/10.1016/j.asoc.2019.02.007
1568-4946
https://repositorio.ufrn.br/jspui/handle/123456789/29807
10.1016/j.asoc.2019.02.007
dc.identifier.dark.fl_str_mv ark:/41046/001300001p46r
identifier_str_mv NOLASCO, D.H.S.; PALMEIRA, E.S.; COSTA, F.B.. A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis. Applied Soft Computing, [s.l.], v. 80, p. 657-671, jul. 2019. Elsevier BV. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S1568494619300675?via%3Dihub#!. Acesso em: 10 ago. 2020. https://doi.org/10.1016/j.asoc.2019.02.007
1568-4946
10.1016/j.asoc.2019.02.007
ark:/41046/001300001p46r
url https://repositorio.ufrn.br/jspui/handle/123456789/29807
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv repositorio@bczm.ufrn.br
_version_ 1853668157500162048
score 15,300719

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