An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/218320 |
Resumo: | The calculation of standard reliability indices is critical for assessing quality service and guiding the planning and operation of distribution systems. Traditionally, such calculation has relied on the application of analytical methods based on simulation techniques, which preclude the use of exact methodologies when reliability assessment is incorporated into operation and planning models. This shortcoming has been recently addressed by the development of two optimization-based approaches for the analytical reliability assessment of distribution systems. Unfortunately, both methods are either incomplete or computationally expensive as compared with those based on simulation. In order to overcome these issues, this paper presents a novel and efficient algebraic approach to calculate the standard network-dependent reliability indices of distribution systems. As a distinctive feature over previous non-simulation-based methods, no optimization process is involved. Thus, the proposed approach relies on the solution of a set of linear equations for which effective algorithms are available. Several benchmarks including a real-life 1080-node system have been used to demonstrate the computational superiority of the proposed method. The successful numerical experience supports the suitability of the proposed algebraic model for reliability-constrained distribution system operation and planning. |
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Repositório Institucional da UNESP |
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An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution SystemsThe calculation of standard reliability indices is critical for assessing quality service and guiding the planning and operation of distribution systems. Traditionally, such calculation has relied on the application of analytical methods based on simulation techniques, which preclude the use of exact methodologies when reliability assessment is incorporated into operation and planning models. This shortcoming has been recently addressed by the development of two optimization-based approaches for the analytical reliability assessment of distribution systems. Unfortunately, both methods are either incomplete or computationally expensive as compared with those based on simulation. In order to overcome these issues, this paper presents a novel and efficient algebraic approach to calculate the standard network-dependent reliability indices of distribution systems. As a distinctive feature over previous non-simulation-based methods, no optimization process is involved. Thus, the proposed approach relies on the solution of a set of linear equations for which effective algorithms are available. Several benchmarks including a real-life 1080-node system have been used to demonstrate the computational superiority of the proposed method. The successful numerical experience supports the suitability of the proposed algebraic model for reliability-constrained distribution system operation and planning.Sao Paulo State Univ UNESP, Elect Engn, Sao Paulo, BrazilUniv Castilla La Mancha, Sch Ind Engn, Ciudad Real, SpainSao Paulo State Univ UNESP, Elect Engn, Sao Paulo, BrazilIeeeUniversidade Estadual Paulista (UNESP)Univ Castilla La ManchaTabares, Alejandra [UNESP]Munoz-Delgado, GregorioFranco, John Fredy [UNESP]Arroyo, Jose ManuelContreras, JavierIEEE2022-04-28T17:20:26Z2022-04-28T17:20:26Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject12020 Ieee Power & Energy Society General Meeting (pesgm). New York: Ieee, 1 p., 2020.1944-9925http://hdl.handle.net/11449/218320WOS:000679246602086Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 Ieee Power & Energy Society General Meeting (pesgm)info:eu-repo/semantics/openAccess2022-04-28T17:20:26Zoai:repositorio.unesp.br:11449/218320Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:50:56.070913Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
title |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
spellingShingle |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems Tabares, Alejandra [UNESP] |
title_short |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
title_full |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
title_fullStr |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
title_full_unstemmed |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
title_sort |
An Enhanced Algebraic Approach for the Analytical Reliability Assessment of Distribution Systems |
author |
Tabares, Alejandra [UNESP] |
author_facet |
Tabares, Alejandra [UNESP] Munoz-Delgado, Gregorio Franco, John Fredy [UNESP] Arroyo, Jose Manuel Contreras, Javier IEEE |
author_role |
author |
author2 |
Munoz-Delgado, Gregorio Franco, John Fredy [UNESP] Arroyo, Jose Manuel Contreras, Javier IEEE |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Univ Castilla La Mancha |
dc.contributor.author.fl_str_mv |
Tabares, Alejandra [UNESP] Munoz-Delgado, Gregorio Franco, John Fredy [UNESP] Arroyo, Jose Manuel Contreras, Javier IEEE |
description |
The calculation of standard reliability indices is critical for assessing quality service and guiding the planning and operation of distribution systems. Traditionally, such calculation has relied on the application of analytical methods based on simulation techniques, which preclude the use of exact methodologies when reliability assessment is incorporated into operation and planning models. This shortcoming has been recently addressed by the development of two optimization-based approaches for the analytical reliability assessment of distribution systems. Unfortunately, both methods are either incomplete or computationally expensive as compared with those based on simulation. In order to overcome these issues, this paper presents a novel and efficient algebraic approach to calculate the standard network-dependent reliability indices of distribution systems. As a distinctive feature over previous non-simulation-based methods, no optimization process is involved. Thus, the proposed approach relies on the solution of a set of linear equations for which effective algorithms are available. Several benchmarks including a real-life 1080-node system have been used to demonstrate the computational superiority of the proposed method. The successful numerical experience supports the suitability of the proposed algebraic model for reliability-constrained distribution system operation and planning. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2022-04-28T17:20:26Z 2022-04-28T17:20:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2020 Ieee Power & Energy Society General Meeting (pesgm). New York: Ieee, 1 p., 2020. 1944-9925 http://hdl.handle.net/11449/218320 WOS:000679246602086 |
identifier_str_mv |
2020 Ieee Power & Energy Society General Meeting (pesgm). New York: Ieee, 1 p., 2020. 1944-9925 WOS:000679246602086 |
url |
http://hdl.handle.net/11449/218320 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2020 Ieee Power & Energy Society General Meeting (pesgm) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science 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 |
|
_version_ |
1808128991107743744 |