Energy management strategy based on receding horizon for a power hybrid system
- Autores
- Rullo, Pablo Gabriel; Zumoffen, David Alejandro Ramon; Feroldi, Diego Hernán
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper presents an energy management strategy to operate a hybrid power system with renewable sources (wind and solar), batteries, and polymeric electrolyte membrane fuel cells. The fuel cells are fed with hydrogen from bioethanol reforming. The energy management strategy uses the concept of receding horizon with predictions of the future generation from the renewable sources, the future load, and the state of charge in the battery bank. Several tests are done in order to analyze the performance of the proposed methodology. The results, compared with the case without predictions, show a reduction in the loss of power supply probability (LPSP) up to 88%.
Fil: Rullo, Pablo Gabriel. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura. Escuela de Cs.exactas y Naturales. Departamento de Ciencias de la Computacion; Argentina
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina - Materia
-
Renewable Energy Sources
Bioethanol
Wind Energy
Solar Energy
Pem Fuel Cells
Autoregressive Models - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/4801
Ver los metadatos del registro completo
id |
CONICETDig_d2bd09fc992242b8f98794eeecdd370a |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/4801 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Energy management strategy based on receding horizon for a power hybrid systemRullo, Pablo GabrielZumoffen, David Alejandro RamonFeroldi, Diego HernánRenewable Energy SourcesBioethanolWind EnergySolar EnergyPem Fuel CellsAutoregressive Modelshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents an energy management strategy to operate a hybrid power system with renewable sources (wind and solar), batteries, and polymeric electrolyte membrane fuel cells. The fuel cells are fed with hydrogen from bioethanol reforming. The energy management strategy uses the concept of receding horizon with predictions of the future generation from the renewable sources, the future load, and the state of charge in the battery bank. Several tests are done in order to analyze the performance of the proposed methodology. The results, compared with the case without predictions, show a reduction in the loss of power supply probability (LPSP) up to 88%.Fil: Rullo, Pablo Gabriel. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura. Escuela de Cs.exactas y Naturales. Departamento de Ciencias de la Computacion; ArgentinaFil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaElsevier2014-11info: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/11336/4801Rullo, Pablo Gabriel; Zumoffen, David Alejandro Ramon; Feroldi, Diego Hernán; Energy management strategy based on receding horizon for a power hybrid system; Elsevier; Renewable Energy; 75; 11-2014; 550-5590960-1481enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0960148114006211info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2014.09.056info:eu-repo/semantics/altIdentifier/issn/0960-1481info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:33Zoai:ri.conicet.gov.ar:11336/4801instacron: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 10:04:33.649CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Energy management strategy based on receding horizon for a power hybrid system |
title |
Energy management strategy based on receding horizon for a power hybrid system |
spellingShingle |
Energy management strategy based on receding horizon for a power hybrid system Rullo, Pablo Gabriel Renewable Energy Sources Bioethanol Wind Energy Solar Energy Pem Fuel Cells Autoregressive Models |
title_short |
Energy management strategy based on receding horizon for a power hybrid system |
title_full |
Energy management strategy based on receding horizon for a power hybrid system |
title_fullStr |
Energy management strategy based on receding horizon for a power hybrid system |
title_full_unstemmed |
Energy management strategy based on receding horizon for a power hybrid system |
title_sort |
Energy management strategy based on receding horizon for a power hybrid system |
dc.creator.none.fl_str_mv |
Rullo, Pablo Gabriel Zumoffen, David Alejandro Ramon Feroldi, Diego Hernán |
author |
Rullo, Pablo Gabriel |
author_facet |
Rullo, Pablo Gabriel Zumoffen, David Alejandro Ramon Feroldi, Diego Hernán |
author_role |
author |
author2 |
Zumoffen, David Alejandro Ramon Feroldi, Diego Hernán |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Renewable Energy Sources Bioethanol Wind Energy Solar Energy Pem Fuel Cells Autoregressive Models |
topic |
Renewable Energy Sources Bioethanol Wind Energy Solar Energy Pem Fuel Cells Autoregressive Models |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This paper presents an energy management strategy to operate a hybrid power system with renewable sources (wind and solar), batteries, and polymeric electrolyte membrane fuel cells. The fuel cells are fed with hydrogen from bioethanol reforming. The energy management strategy uses the concept of receding horizon with predictions of the future generation from the renewable sources, the future load, and the state of charge in the battery bank. Several tests are done in order to analyze the performance of the proposed methodology. The results, compared with the case without predictions, show a reduction in the loss of power supply probability (LPSP) up to 88%. Fil: Rullo, Pablo Gabriel. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura. Escuela de Cs.exactas y Naturales. Departamento de Ciencias de la Computacion; Argentina Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina Fil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina |
description |
This paper presents an energy management strategy to operate a hybrid power system with renewable sources (wind and solar), batteries, and polymeric electrolyte membrane fuel cells. The fuel cells are fed with hydrogen from bioethanol reforming. The energy management strategy uses the concept of receding horizon with predictions of the future generation from the renewable sources, the future load, and the state of charge in the battery bank. Several tests are done in order to analyze the performance of the proposed methodology. The results, compared with the case without predictions, show a reduction in the loss of power supply probability (LPSP) up to 88%. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11 |
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/11336/4801 Rullo, Pablo Gabriel; Zumoffen, David Alejandro Ramon; Feroldi, Diego Hernán; Energy management strategy based on receding horizon for a power hybrid system; Elsevier; Renewable Energy; 75; 11-2014; 550-559 0960-1481 |
url |
http://hdl.handle.net/11336/4801 |
identifier_str_mv |
Rullo, Pablo Gabriel; Zumoffen, David Alejandro Ramon; Feroldi, Diego Hernán; Energy management strategy based on receding horizon for a power hybrid system; Elsevier; Renewable Energy; 75; 11-2014; 550-559 0960-1481 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0960148114006211 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2014.09.056 info:eu-repo/semantics/altIdentifier/issn/0960-1481 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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_ |
1844613872782147584 |
score |
13.070432 |