Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach

Detalhes bibliográficos
Autor(a) principal: Lima, Ricardo M.
Data de Publicação: 2015
Outros Autores: Novais, Augusto Q., Conejo, Antonio J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.9/2951
Resumo: his paper addresses the optimization under uncertainty of the self-scheduling, forward contracting, and pool involvement of an electricity producer operating a mixed power generation station, which combines thermal, hydro and wind sources, and uses a two stage adaptive robust optimization approach. In this problem the wind power production and the electricity pool price are considered to be uncertain, and are described by uncertainty convex sets. To solve this problem, two variants of a constraint generation algorithm are proposed, and their application and characteristics discussed. Both algorithms are used to solve two case studies based on two producers, each operating equivalent generation units, differing only in the thermal units’ characteristics. Their market strategies are investigated for three different scenarios, corresponding to as many instances of electricity price forecasts. The effect of the producers’ approach, whether conservative or more risk prone, is also investigated by solving each instance for multiple values of the so-called budget parameter. It was possible to conclude that this parameter influences markedly the producers’ strategy, in terms of scheduling, profit, forward contracting, and pool involvement. These findings are presented and analyzed in detail, and an attempted rationale is proposed to explain the less intuitive outcomes. Regarding the computational results, these show that for some instances, the two variants of the algorithms have a similar performance, while for a particular subset of them one variant has a clear superiority.
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spelling Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approachRenewable energiesElectricity marketsRobust optimizationSchedulinghis paper addresses the optimization under uncertainty of the self-scheduling, forward contracting, and pool involvement of an electricity producer operating a mixed power generation station, which combines thermal, hydro and wind sources, and uses a two stage adaptive robust optimization approach. In this problem the wind power production and the electricity pool price are considered to be uncertain, and are described by uncertainty convex sets. To solve this problem, two variants of a constraint generation algorithm are proposed, and their application and characteristics discussed. Both algorithms are used to solve two case studies based on two producers, each operating equivalent generation units, differing only in the thermal units’ characteristics. Their market strategies are investigated for three different scenarios, corresponding to as many instances of electricity price forecasts. The effect of the producers’ approach, whether conservative or more risk prone, is also investigated by solving each instance for multiple values of the so-called budget parameter. It was possible to conclude that this parameter influences markedly the producers’ strategy, in terms of scheduling, profit, forward contracting, and pool involvement. These findings are presented and analyzed in detail, and an attempted rationale is proposed to explain the less intuitive outcomes. Regarding the computational results, these show that for some instances, the two variants of the algorithms have a similar performance, while for a particular subset of them one variant has a clear superiority.ElsevierRepositório do LNEGLima, Ricardo M.Novais, Augusto Q.Conejo, Antonio J.2016-04-28T14:13:41Z2015-01-01T00:00:00Z2015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.9/2951engLima, R.M.; Novais, A.Q.; Conejo, A.J. - Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach. In: European Journal of Operational Research, 2015, Vol. 240, nº 2, p. 457-4750377-221710.1016/j.ejor.2014.07.013info: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:RCAAP2022-09-06T12:28:15Zoai:repositorio.lneg.pt:10400.9/2951Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:36:06.989890Repositório 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 Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
title Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
spellingShingle Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
Lima, Ricardo M.
Renewable energies
Electricity markets
Robust optimization
Scheduling
title_short Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
title_full Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
title_fullStr Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
title_full_unstemmed Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
title_sort Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach
author Lima, Ricardo M.
author_facet Lima, Ricardo M.
Novais, Augusto Q.
Conejo, Antonio J.
author_role author
author2 Novais, Augusto Q.
Conejo, Antonio J.
author2_role author
author
dc.contributor.none.fl_str_mv Repositório do LNEG
dc.contributor.author.fl_str_mv Lima, Ricardo M.
Novais, Augusto Q.
Conejo, Antonio J.
dc.subject.por.fl_str_mv Renewable energies
Electricity markets
Robust optimization
Scheduling
topic Renewable energies
Electricity markets
Robust optimization
Scheduling
description his paper addresses the optimization under uncertainty of the self-scheduling, forward contracting, and pool involvement of an electricity producer operating a mixed power generation station, which combines thermal, hydro and wind sources, and uses a two stage adaptive robust optimization approach. In this problem the wind power production and the electricity pool price are considered to be uncertain, and are described by uncertainty convex sets. To solve this problem, two variants of a constraint generation algorithm are proposed, and their application and characteristics discussed. Both algorithms are used to solve two case studies based on two producers, each operating equivalent generation units, differing only in the thermal units’ characteristics. Their market strategies are investigated for three different scenarios, corresponding to as many instances of electricity price forecasts. The effect of the producers’ approach, whether conservative or more risk prone, is also investigated by solving each instance for multiple values of the so-called budget parameter. It was possible to conclude that this parameter influences markedly the producers’ strategy, in terms of scheduling, profit, forward contracting, and pool involvement. These findings are presented and analyzed in detail, and an attempted rationale is proposed to explain the less intuitive outcomes. Regarding the computational results, these show that for some instances, the two variants of the algorithms have a similar performance, while for a particular subset of them one variant has a clear superiority.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2015-01-01T00:00:00Z
2016-04-28T14:13:41Z
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/10400.9/2951
url http://hdl.handle.net/10400.9/2951
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lima, R.M.; Novais, A.Q.; Conejo, A.J. - Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer: an adaptive robust optimization approach. In: European Journal of Operational Research, 2015, Vol. 240, nº 2, p. 457-475
0377-2217
10.1016/j.ejor.2014.07.013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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)
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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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