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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/187651
Ver los metadatos del registro completo
id |
CONICETDig_1873b5e527d4609ef6e40243acb67ee3 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/187651 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
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 Técnicas2025-09-29T10:04:37Zoai: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:34982025-09-29 10:04:37.331CONICET 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 |
_version_ |
1844613873718525952 |
score |
13.070432 |