Bidding strategy of wind-thermal energy producers

Detalhes bibliográficos
Autor(a) principal: Laia, R.
Data de Publicação: 2016
Outros Autores: Pousinho, H. M. I., Melício, R., Mendes, Victor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/7160
Resumo: This paper presents a stochastic mixed-integer linear programming approach for solving the selfscheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. An effi- cient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.
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spelling Bidding strategy of wind-thermal energy producersBidding strategyStochastic programmingMixed integer linear programmingWind thermal coordinationThis paper presents a stochastic mixed-integer linear programming approach for solving the selfscheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. An effi- cient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.UID/EMS/50022/2013ElsevierRCIPLLaia, R.Pousinho, H. M. I.Melício, R.Mendes, Victor2017-06-07T10:39:16Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/7160engLAIA, R.; [et al] - Bidding strategy of wind-thermal energy producers. Renewable Energy. ISSN 0960-1481. Vol. 99, (2016), pp. 673-6810960-148110.1016/j.renene.2016.07.049metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:52:52Zoai:repositorio.ipl.pt:10400.21/7160Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:16:10.033185Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Bidding strategy of wind-thermal energy producers
title Bidding strategy of wind-thermal energy producers
spellingShingle Bidding strategy of wind-thermal energy producers
Laia, R.
Bidding strategy
Stochastic programming
Mixed integer linear programming
Wind thermal coordination
title_short Bidding strategy of wind-thermal energy producers
title_full Bidding strategy of wind-thermal energy producers
title_fullStr Bidding strategy of wind-thermal energy producers
title_full_unstemmed Bidding strategy of wind-thermal energy producers
title_sort Bidding strategy of wind-thermal energy producers
author Laia, R.
author_facet Laia, R.
Pousinho, H. M. I.
Melício, R.
Mendes, Victor
author_role author
author2 Pousinho, H. M. I.
Melício, R.
Mendes, Victor
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Laia, R.
Pousinho, H. M. I.
Melício, R.
Mendes, Victor
dc.subject.por.fl_str_mv Bidding strategy
Stochastic programming
Mixed integer linear programming
Wind thermal coordination
topic Bidding strategy
Stochastic programming
Mixed integer linear programming
Wind thermal coordination
description This paper presents a stochastic mixed-integer linear programming approach for solving the selfscheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. An effi- cient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2017-06-07T10:39:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/7160
url http://hdl.handle.net/10400.21/7160
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv LAIA, R.; [et al] - Bidding strategy of wind-thermal energy producers. Renewable Energy. ISSN 0960-1481. Vol. 99, (2016), pp. 673-681
0960-1481
10.1016/j.renene.2016.07.049
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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