Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems
- Autores
- Álvarez, Gonzalo; Marcovecchio, Marian G.; Aguirre, Pío A.
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This work presents a novel approach for solving the short-term scheduling of hydro-thermal power generation, including pumped storage systems and transmission constraints. The problem addressed is known as Security Constrained Unit Commitment (SCUC). Pumped Storage Units (PSUs) are important in electric systems during the off-peak and the peak demand periods, providing economic and technical benefits. Linear aproximations are applied to nonlinear equations of this kind of mathematical problems which are: fuel cost functions, generation-discharge curves of PSUs and transmission constraints modeled with Alternating Current power flow model. Thus, MILP models are presented for the problem addessed. To prove the efficiency of the proposed models, two systems with PSUs will be tested: a modified 6-bus and the IEEE 31-bus power system. Results show that the proposed MILP models allow: modeling the SCUC problem more realistically, obtaining feasible solutions within efficient computational times, and reaching production cost savings up to almost 15% compared to power systems that lack capacities to pumping water. Several indicators obtained from results are presented through graphs, as a tool for improving operation and maintenance of power systems. The analysis of these indicators and the graphic interpretation allow to identify and classify critical parts of systems as well as to make recommendations about future system improvements.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
electric power systems
mixed integer linear programming
pumped hydro storage
security constrained unit commitment
transmission constraints - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/66451
Ver los metadatos del registro completo
id |
SEDICI_88416e3d0f7d0851cb2038b3705abffb |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/66451 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage SystemsÁlvarez, GonzaloMarcovecchio, Marian G.Aguirre, Pío A.Ciencias Informáticaselectric power systemsmixed integer linear programmingpumped hydro storagesecurity constrained unit commitmenttransmission constraintsThis work presents a novel approach for solving the short-term scheduling of hydro-thermal power generation, including pumped storage systems and transmission constraints. The problem addressed is known as Security Constrained Unit Commitment (SCUC). Pumped Storage Units (PSUs) are important in electric systems during the off-peak and the peak demand periods, providing economic and technical benefits. Linear aproximations are applied to nonlinear equations of this kind of mathematical problems which are: fuel cost functions, generation-discharge curves of PSUs and transmission constraints modeled with Alternating Current power flow model. Thus, MILP models are presented for the problem addessed. To prove the efficiency of the proposed models, two systems with PSUs will be tested: a modified 6-bus and the IEEE 31-bus power system. Results show that the proposed MILP models allow: modeling the SCUC problem more realistically, obtaining feasible solutions within efficient computational times, and reaching production cost savings up to almost 15% compared to power systems that lack capacities to pumping water. Several indicators obtained from results are presented through graphs, as a tool for improving operation and maintenance of power systems. The analysis of these indicators and the graphic interpretation allow to identify and classify critical parts of systems as well as to make recommendations about future system improvements.Sociedad Argentina de Informática e Investigación Operativa2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf57-66http://sedici.unlp.edu.ar/handle/10915/66451enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SIO/sio-17.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7550info:eu-repo/semantics/reference/hdl/10915/135214info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:09:56Zoai:sedici.unlp.edu.ar:10915/66451Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:09:56.464SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
title |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
spellingShingle |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems Álvarez, Gonzalo Ciencias Informáticas electric power systems mixed integer linear programming pumped hydro storage security constrained unit commitment transmission constraints |
title_short |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
title_full |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
title_fullStr |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
title_full_unstemmed |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
title_sort |
Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems |
dc.creator.none.fl_str_mv |
Álvarez, Gonzalo Marcovecchio, Marian G. Aguirre, Pío A. |
author |
Álvarez, Gonzalo |
author_facet |
Álvarez, Gonzalo Marcovecchio, Marian G. Aguirre, Pío A. |
author_role |
author |
author2 |
Marcovecchio, Marian G. Aguirre, Pío A. |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas electric power systems mixed integer linear programming pumped hydro storage security constrained unit commitment transmission constraints |
topic |
Ciencias Informáticas electric power systems mixed integer linear programming pumped hydro storage security constrained unit commitment transmission constraints |
dc.description.none.fl_txt_mv |
This work presents a novel approach for solving the short-term scheduling of hydro-thermal power generation, including pumped storage systems and transmission constraints. The problem addressed is known as Security Constrained Unit Commitment (SCUC). Pumped Storage Units (PSUs) are important in electric systems during the off-peak and the peak demand periods, providing economic and technical benefits. Linear aproximations are applied to nonlinear equations of this kind of mathematical problems which are: fuel cost functions, generation-discharge curves of PSUs and transmission constraints modeled with Alternating Current power flow model. Thus, MILP models are presented for the problem addessed. To prove the efficiency of the proposed models, two systems with PSUs will be tested: a modified 6-bus and the IEEE 31-bus power system. Results show that the proposed MILP models allow: modeling the SCUC problem more realistically, obtaining feasible solutions within efficient computational times, and reaching production cost savings up to almost 15% compared to power systems that lack capacities to pumping water. Several indicators obtained from results are presented through graphs, as a tool for improving operation and maintenance of power systems. The analysis of these indicators and the graphic interpretation allow to identify and classify critical parts of systems as well as to make recommendations about future system improvements. Sociedad Argentina de Informática e Investigación Operativa |
description |
This work presents a novel approach for solving the short-term scheduling of hydro-thermal power generation, including pumped storage systems and transmission constraints. The problem addressed is known as Security Constrained Unit Commitment (SCUC). Pumped Storage Units (PSUs) are important in electric systems during the off-peak and the peak demand periods, providing economic and technical benefits. Linear aproximations are applied to nonlinear equations of this kind of mathematical problems which are: fuel cost functions, generation-discharge curves of PSUs and transmission constraints modeled with Alternating Current power flow model. Thus, MILP models are presented for the problem addessed. To prove the efficiency of the proposed models, two systems with PSUs will be tested: a modified 6-bus and the IEEE 31-bus power system. Results show that the proposed MILP models allow: modeling the SCUC problem more realistically, obtaining feasible solutions within efficient computational times, and reaching production cost savings up to almost 15% compared to power systems that lack capacities to pumping water. Several indicators obtained from results are presented through graphs, as a tool for improving operation and maintenance of power systems. The analysis of these indicators and the graphic interpretation allow to identify and classify critical parts of systems as well as to make recommendations about future system improvements. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/66451 |
url |
http://sedici.unlp.edu.ar/handle/10915/66451 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SIO/sio-17.pdf info:eu-repo/semantics/altIdentifier/issn/2451-7550 info:eu-repo/semantics/reference/hdl/10915/135214 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-sa/4.0/ Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-sa/4.0/ Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf 57-66 |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1844615967673417728 |
score |
13.070432 |