Sparse matrices for transient simulations with computing memory reduction

Detalhes bibliográficos
Autor(a) principal: Lessa, Leonardo da Silva [UNESP]
Data de Publicação: 2020
Outros Autores: de Luca, Caio Cesar Souza [UNESP], Pereira, Thainá Guimarães [UNESP], Grilo, Caio Vinícius Colozzo [UNESP], Moreira, Aghatta Cioquetta [UNESP], Ronchini, Carolina Magda Bassoto [UNESP], Gennaro, Elmer Mateus [UNESP], Der Agopian, Paula Ghedini [UNESP], José do Prado, Afonso [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.epsr.2020.106266
http://hdl.handle.net/11449/198560
Resumo: Modified numerical integration methods and modelling have been analysed for application to simulations of electromagnetic transient phenomena in transmission lines. Both objectives are considered: minimize numerical errors caused by Gibbs’ oscillations and decrease the computational memory necessary for the mentioned simulations. For this, transmission lines have represented by cascades of π circuits. Based on this representation, modifications in numerical integration methods applied to the mentioned simulations can be introduced easily and the comparisons can be carried out quickly. In case of minimization of numerical errors, two approaches have checked. One of these options is related to the way how the numerical integration method is applied. The numerical integration has applied using 2-order matrices. These matrices are related to each π circuit applied to represent transmission lines. The other option is related to the damping resistance application. It has made by introducing damping resistances in the longitudinal structure of the π circuits. Sparse matrices have applied for decreasing the computational memory used during the simulations, because this matrix has a great quantity of null elements when the cascade of π circuits are represented by only one matrix with great order. Comparisons have carried out considering the non-modified numerical methods and the three modified methods suggested in this paper.
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spelling Sparse matrices for transient simulations with computing memory reductionEigenvalues and eigenfuctionsLinear systemsNumerical analysisOptimizationPower system transientsState space methodsTime-domain simulationTransmission lineModified numerical integration methods and modelling have been analysed for application to simulations of electromagnetic transient phenomena in transmission lines. Both objectives are considered: minimize numerical errors caused by Gibbs’ oscillations and decrease the computational memory necessary for the mentioned simulations. For this, transmission lines have represented by cascades of π circuits. Based on this representation, modifications in numerical integration methods applied to the mentioned simulations can be introduced easily and the comparisons can be carried out quickly. In case of minimization of numerical errors, two approaches have checked. One of these options is related to the way how the numerical integration method is applied. The numerical integration has applied using 2-order matrices. These matrices are related to each π circuit applied to represent transmission lines. The other option is related to the damping resistance application. It has made by introducing damping resistances in the longitudinal structure of the π circuits. Sparse matrices have applied for decreasing the computational memory used during the simulations, because this matrix has a great quantity of null elements when the cascade of π circuits are represented by only one matrix with great order. Comparisons have carried out considering the non-modified numerical methods and the three modified methods suggested in this paper.Electronic and Telecommunication Engineering São Paulo State University (UNESP) Campus of São João da Boa Vista, São João da Boa VistaElectronic and Telecommunication Engineering São Paulo State University (UNESP) Campus of São João da Boa Vista, São João da Boa VistaUniversidade Estadual Paulista (Unesp)Lessa, Leonardo da Silva [UNESP]de Luca, Caio Cesar Souza [UNESP]Pereira, Thainá Guimarães [UNESP]Grilo, Caio Vinícius Colozzo [UNESP]Moreira, Aghatta Cioquetta [UNESP]Ronchini, Carolina Magda Bassoto [UNESP]Gennaro, Elmer Mateus [UNESP]Der Agopian, Paula Ghedini [UNESP]José do Prado, Afonso [UNESP]2020-12-12T01:16:12Z2020-12-12T01:16:12Z2020-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.epsr.2020.106266Electric Power Systems Research, v. 183.0378-7796http://hdl.handle.net/11449/19856010.1016/j.epsr.2020.1062662-s2.0-85079888242Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengElectric Power Systems Researchinfo:eu-repo/semantics/openAccess2021-10-22T16:54:02Zoai:repositorio.unesp.br:11449/198560Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T16:54:02Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Sparse matrices for transient simulations with computing memory reduction
title Sparse matrices for transient simulations with computing memory reduction
spellingShingle Sparse matrices for transient simulations with computing memory reduction
Lessa, Leonardo da Silva [UNESP]
Eigenvalues and eigenfuctions
Linear systems
Numerical analysis
Optimization
Power system transients
State space methods
Time-domain simulation
Transmission line
title_short Sparse matrices for transient simulations with computing memory reduction
title_full Sparse matrices for transient simulations with computing memory reduction
title_fullStr Sparse matrices for transient simulations with computing memory reduction
title_full_unstemmed Sparse matrices for transient simulations with computing memory reduction
title_sort Sparse matrices for transient simulations with computing memory reduction
author Lessa, Leonardo da Silva [UNESP]
author_facet Lessa, Leonardo da Silva [UNESP]
de Luca, Caio Cesar Souza [UNESP]
Pereira, Thainá Guimarães [UNESP]
Grilo, Caio Vinícius Colozzo [UNESP]
Moreira, Aghatta Cioquetta [UNESP]
Ronchini, Carolina Magda Bassoto [UNESP]
Gennaro, Elmer Mateus [UNESP]
Der Agopian, Paula Ghedini [UNESP]
José do Prado, Afonso [UNESP]
author_role author
author2 de Luca, Caio Cesar Souza [UNESP]
Pereira, Thainá Guimarães [UNESP]
Grilo, Caio Vinícius Colozzo [UNESP]
Moreira, Aghatta Cioquetta [UNESP]
Ronchini, Carolina Magda Bassoto [UNESP]
Gennaro, Elmer Mateus [UNESP]
Der Agopian, Paula Ghedini [UNESP]
José do Prado, Afonso [UNESP]
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Lessa, Leonardo da Silva [UNESP]
de Luca, Caio Cesar Souza [UNESP]
Pereira, Thainá Guimarães [UNESP]
Grilo, Caio Vinícius Colozzo [UNESP]
Moreira, Aghatta Cioquetta [UNESP]
Ronchini, Carolina Magda Bassoto [UNESP]
Gennaro, Elmer Mateus [UNESP]
Der Agopian, Paula Ghedini [UNESP]
José do Prado, Afonso [UNESP]
dc.subject.por.fl_str_mv Eigenvalues and eigenfuctions
Linear systems
Numerical analysis
Optimization
Power system transients
State space methods
Time-domain simulation
Transmission line
topic Eigenvalues and eigenfuctions
Linear systems
Numerical analysis
Optimization
Power system transients
State space methods
Time-domain simulation
Transmission line
description Modified numerical integration methods and modelling have been analysed for application to simulations of electromagnetic transient phenomena in transmission lines. Both objectives are considered: minimize numerical errors caused by Gibbs’ oscillations and decrease the computational memory necessary for the mentioned simulations. For this, transmission lines have represented by cascades of π circuits. Based on this representation, modifications in numerical integration methods applied to the mentioned simulations can be introduced easily and the comparisons can be carried out quickly. In case of minimization of numerical errors, two approaches have checked. One of these options is related to the way how the numerical integration method is applied. The numerical integration has applied using 2-order matrices. These matrices are related to each π circuit applied to represent transmission lines. The other option is related to the damping resistance application. It has made by introducing damping resistances in the longitudinal structure of the π circuits. Sparse matrices have applied for decreasing the computational memory used during the simulations, because this matrix has a great quantity of null elements when the cascade of π circuits are represented by only one matrix with great order. Comparisons have carried out considering the non-modified numerical methods and the three modified methods suggested in this paper.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T01:16:12Z
2020-12-12T01:16:12Z
2020-06-01
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 http://dx.doi.org/10.1016/j.epsr.2020.106266
Electric Power Systems Research, v. 183.
0378-7796
http://hdl.handle.net/11449/198560
10.1016/j.epsr.2020.106266
2-s2.0-85079888242
url http://dx.doi.org/10.1016/j.epsr.2020.106266
http://hdl.handle.net/11449/198560
identifier_str_mv Electric Power Systems Research, v. 183.
0378-7796
10.1016/j.epsr.2020.106266
2-s2.0-85079888242
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Electric Power Systems Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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