Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets

Detalhes bibliográficos
Autor(a) principal: Laia, Rui
Data de Publicação: 2016
Outros Autores: Pousinho, Hugo, Melício, Rui, Mendes, Victor
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/19409
Resumo: This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling 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 modeled by variable costs, start-up costs and technical operating constraints, such as: ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, aiming to maximize the expected 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 Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead MarketsMixed-integer linear programmingstochastic optimizationwind-thermal coordinationoffering strategiesThis paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling 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 modeled by variable costs, start-up costs and technical operating constraints, such as: ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, aiming to maximize the expected 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.2016-12-21T10:43:16Z2016-12-212016-02-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/19409http://hdl.handle.net/10174/19409eng1st Energy Economics Iberian Conference, EEIC | CIEE 2016, February 4-5, Lisbon, Portugalsimnaonaondndruimelicio@gmail.comnd482Laia, RuiPousinho, HugoMelício, RuiMendes, Victorinfo: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:RCAAP2024-01-03T19:08:32Zoai:dspace.uevora.pt:10174/19409Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:11:07.671365Repositório 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 Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
title Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
spellingShingle Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
Laia, Rui
Mixed-integer linear programming
stochastic optimization
wind-thermal coordination
offering strategies
title_short Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
title_full Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
title_fullStr Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
title_full_unstemmed Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
title_sort Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
author Laia, Rui
author_facet Laia, Rui
Pousinho, Hugo
Melício, Rui
Mendes, Victor
author_role author
author2 Pousinho, Hugo
Melício, Rui
Mendes, Victor
author2_role author
author
author
dc.contributor.author.fl_str_mv Laia, Rui
Pousinho, Hugo
Melício, Rui
Mendes, Victor
dc.subject.por.fl_str_mv Mixed-integer linear programming
stochastic optimization
wind-thermal coordination
offering strategies
topic Mixed-integer linear programming
stochastic optimization
wind-thermal coordination
offering strategies
description This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling 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 modeled by variable costs, start-up costs and technical operating constraints, such as: ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, aiming to maximize the expected 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 2016-12-21T10:43:16Z
2016-12-21
2016-02-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/19409
http://hdl.handle.net/10174/19409
url http://hdl.handle.net/10174/19409
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1st Energy Economics Iberian Conference, EEIC | CIEE 2016, February 4-5, Lisbon, Portugal
sim
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nd
nd
ruimelicio@gmail.com
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482
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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