Power system reliability considering combined cycle plants

Autores
Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Magnago, Fernando
Año de publicación
2010
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the nineties in Argentina, the growth of thermal power generation was mainly based on combined cycle plants. Currently, one problem associated with the use of combined cycle plants is the fact that they need to share the use of natural gas with commercial, industrial and domestic uses. Hence, the natural gas availability is becoming a critical issue. Therefore, power system reliability studies must consider fuel availability into the models, and as a consequence, reliability models must take into account the joint operation of electrical generation and natural gas systems. The aim of this paper is to evaluate the influence of combined cycle plants on reliability studies applied to system generation capacity and their dependency on natural gas availability. Monte Carlo simulation method is used to determine reliability indices such as Loss of Load Expectation, Loss of Energy Expectation, Loss of Load Frequency, and Loss of Load Duration. The IEEE RTS 96 test system is used as the base system, with is modified in order to incorporate combined cycle plants.
Fil: Alemany, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Centro de Investigaciones Cientificas ; Facultad de Ciencias Exactas Fisicas y Naturales ; Universidad Nacional de Cordoba;
Fil: Moitre, Diego Carlos Alberto. Universidad Nacional de Río Cuarto; Argentina. Pontificia Universidad Católica de Chile; Chile
Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Centro de Investigaciones Cientificas ; Facultad de Ciencias Exactas Fisicas y Naturales ; Universidad Nacional de Cordoba; . Texas A&M University; Estados Unidos
Materia
COMBINED CYCLE PLANTS
MONTE CARLO SIMULATION
RELIABILITY STUDIES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/187651
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Power system reliability considering combined cycle plantsAlemany, Juan ManuelMoitre, Diego Carlos AlbertoMagnago, FernandoCOMBINED CYCLE PLANTSMONTE CARLO SIMULATIONRELIABILITY STUDIEShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In the nineties in Argentina, the growth of thermal power generation was mainly based on combined cycle plants. Currently, one problem associated with the use of combined cycle plants is the fact that they need to share the use of natural gas with commercial, industrial and domestic uses. Hence, the natural gas availability is becoming a critical issue. Therefore, power system reliability studies must consider fuel availability into the models, and as a consequence, reliability models must take into account the joint operation of electrical generation and natural gas systems. The aim of this paper is to evaluate the influence of combined cycle plants on reliability studies applied to system generation capacity and their dependency on natural gas availability. Monte Carlo simulation method is used to determine reliability indices such as Loss of Load Expectation, Loss of Energy Expectation, Loss of Load Frequency, and Loss of Load Duration. The IEEE RTS 96 test system is used as the base system, with is modified in order to incorporate combined cycle plants.Fil: Alemany, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Centro de Investigaciones Cientificas ; Facultad de Ciencias Exactas Fisicas y Naturales ; Universidad Nacional de Cordoba;Fil: Moitre, Diego Carlos Alberto. Universidad Nacional de Río Cuarto; Argentina. Pontificia Universidad Católica de Chile; ChileFil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Centro de Investigaciones Cientificas ; Facultad de Ciencias Exactas Fisicas y Naturales ; Universidad Nacional de Cordoba; . Texas A&M University; Estados UnidosInstitute of Electrical and Electronics Engineers2010-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/187651Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Magnago, Fernando; Power system reliability considering combined cycle plants; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 8; 5; 9-2010; 547-5561548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/5623508info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2010.5623508info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:34:21Zoai:ri.conicet.gov.ar:11336/187651instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:34:22.156CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Power system reliability considering combined cycle plants
title Power system reliability considering combined cycle plants
spellingShingle Power system reliability considering combined cycle plants
Alemany, Juan Manuel
COMBINED CYCLE PLANTS
MONTE CARLO SIMULATION
RELIABILITY STUDIES
title_short Power system reliability considering combined cycle plants
title_full Power system reliability considering combined cycle plants
title_fullStr Power system reliability considering combined cycle plants
title_full_unstemmed Power system reliability considering combined cycle plants
title_sort Power system reliability considering combined cycle plants
dc.creator.none.fl_str_mv Alemany, Juan Manuel
Moitre, Diego Carlos Alberto
Magnago, Fernando
author Alemany, Juan Manuel
author_facet Alemany, Juan Manuel
Moitre, Diego Carlos Alberto
Magnago, Fernando
author_role author
author2 Moitre, Diego Carlos Alberto
Magnago, Fernando
author2_role author
author
dc.subject.none.fl_str_mv COMBINED CYCLE PLANTS
MONTE CARLO SIMULATION
RELIABILITY STUDIES
topic COMBINED CYCLE PLANTS
MONTE CARLO SIMULATION
RELIABILITY STUDIES
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In the nineties in Argentina, the growth of thermal power generation was mainly based on combined cycle plants. Currently, one problem associated with the use of combined cycle plants is the fact that they need to share the use of natural gas with commercial, industrial and domestic uses. Hence, the natural gas availability is becoming a critical issue. Therefore, power system reliability studies must consider fuel availability into the models, and as a consequence, reliability models must take into account the joint operation of electrical generation and natural gas systems. The aim of this paper is to evaluate the influence of combined cycle plants on reliability studies applied to system generation capacity and their dependency on natural gas availability. Monte Carlo simulation method is used to determine reliability indices such as Loss of Load Expectation, Loss of Energy Expectation, Loss of Load Frequency, and Loss of Load Duration. The IEEE RTS 96 test system is used as the base system, with is modified in order to incorporate combined cycle plants.
Fil: Alemany, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Centro de Investigaciones Cientificas ; Facultad de Ciencias Exactas Fisicas y Naturales ; Universidad Nacional de Cordoba;
Fil: Moitre, Diego Carlos Alberto. Universidad Nacional de Río Cuarto; Argentina. Pontificia Universidad Católica de Chile; Chile
Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Centro de Investigaciones Cientificas ; Facultad de Ciencias Exactas Fisicas y Naturales ; Universidad Nacional de Cordoba; . Texas A&M University; Estados Unidos
description In the nineties in Argentina, the growth of thermal power generation was mainly based on combined cycle plants. Currently, one problem associated with the use of combined cycle plants is the fact that they need to share the use of natural gas with commercial, industrial and domestic uses. Hence, the natural gas availability is becoming a critical issue. Therefore, power system reliability studies must consider fuel availability into the models, and as a consequence, reliability models must take into account the joint operation of electrical generation and natural gas systems. The aim of this paper is to evaluate the influence of combined cycle plants on reliability studies applied to system generation capacity and their dependency on natural gas availability. Monte Carlo simulation method is used to determine reliability indices such as Loss of Load Expectation, Loss of Energy Expectation, Loss of Load Frequency, and Loss of Load Duration. The IEEE RTS 96 test system is used as the base system, with is modified in order to incorporate combined cycle plants.
publishDate 2010
dc.date.none.fl_str_mv 2010-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/187651
Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Magnago, Fernando; Power system reliability considering combined cycle plants; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 8; 5; 9-2010; 547-556
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/187651
identifier_str_mv Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Magnago, Fernando; Power system reliability considering combined cycle plants; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 8; 5; 9-2010; 547-556
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/5623508
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2010.5623508
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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