Self-scheduling and bidding strategies of thermal units with stochastic emission constraints

Detalhes bibliográficos
Autor(a) principal: Laia, Rui
Data de Publicação: 2015
Outros Autores: Pousinho, Hugo Miguel Inácio, Melício, Rui, 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/10400.21/5731
Resumo: This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. 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. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.
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spelling Self-scheduling and bidding strategies of thermal units with stochastic emission constraintsBidding strategyBilateral contractsEmission allowancesStochastic programmingThermal self-schedulingThis paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. 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. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.Pergamon-Elsevier Science LTDRCIPLLaia, RuiPousinho, Hugo Miguel InácioMelício, RuiMendes, Victor2016-02-24T15:41:06Z2015-01-012015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/5731engLAIA, Rui; [et al.] - Self-scheduling and bidding strategies of thermal units with stochastic emission constraints. Energy Conversion and Management. ISSN. 0196-8904. Vol. 89 (2015), pp. 975-9840196-890410.1016/j.enconman.2014.10.063metadata 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:RCAAP2023-08-03T09:49:34Zoai:repositorio.ipl.pt:10400.21/5731Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:14:58.543979Repositório 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 Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
title Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
spellingShingle Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
Laia, Rui
Bidding strategy
Bilateral contracts
Emission allowances
Stochastic programming
Thermal self-scheduling
title_short Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
title_full Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
title_fullStr Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
title_full_unstemmed Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
title_sort Self-scheduling and bidding strategies of thermal units with stochastic emission constraints
author Laia, Rui
author_facet Laia, Rui
Pousinho, Hugo Miguel Inácio
Melício, Rui
Mendes, Victor
author_role author
author2 Pousinho, Hugo Miguel Inácio
Melício, Rui
Mendes, Victor
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Laia, Rui
Pousinho, Hugo Miguel Inácio
Melício, Rui
Mendes, Victor
dc.subject.por.fl_str_mv Bidding strategy
Bilateral contracts
Emission allowances
Stochastic programming
Thermal self-scheduling
topic Bidding strategy
Bilateral contracts
Emission allowances
Stochastic programming
Thermal self-scheduling
description This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. 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. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2015-01-01T00:00:00Z
2016-02-24T15:41:06Z
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/10400.21/5731
url http://hdl.handle.net/10400.21/5731
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv LAIA, Rui; [et al.] - Self-scheduling and bidding strategies of thermal units with stochastic emission constraints. Energy Conversion and Management. ISSN. 0196-8904. Vol. 89 (2015), pp. 975-984
0196-8904
10.1016/j.enconman.2014.10.063
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 Pergamon-Elsevier Science LTD
publisher.none.fl_str_mv Pergamon-Elsevier Science LTD
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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