Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach

Detalhes bibliográficos
Autor(a) principal: Pousinho, Hugo Miguel Inácio
Data de Publicação: 2014
Outros Autores: Silva, Hugo Alexandre Fernandes dos Santos e, Mendes, Victor, Collares-Pereira, Manuel, Cabrita, C. Pereira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/4894
Resumo: This paper is on the self-scheduling for a power producer taking part in day-ahead joint energy and spinning reserve markets and aiming at a short-term coordination of wind power plants with concentrated solar power plants having thermal energy storage. The short-term coordination is formulated as a mixed-integer linear programming problem given as the maximization of profit subjected to technical operation constraints, including the ones related to a transmission line. Probability density functions are used to model the variability of the hourly wind speed and the solar irradiation in regard to a negative correlation. Case studies based on an Iberian Peninsula wind and concentrated solar power plants are presented, providing the optimal energy and spinning reserve for the short-term self-scheduling in order to unveil the coordination benefits and synergies between wind and solar resources. Results and sensitivity analysis are in favour of the coordination, showing an increase on profit, allowing for spinning reserve, reducing the need for curtailment, increasing the transmission line capacity factor. (C) 2014 Elsevier Ltd. All rights reserved.
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spelling Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approachWind/CSP Self-SchedulingMixed-Integer Linear ProgrammingSpinning ReserveTransmission ConstraintsThis paper is on the self-scheduling for a power producer taking part in day-ahead joint energy and spinning reserve markets and aiming at a short-term coordination of wind power plants with concentrated solar power plants having thermal energy storage. The short-term coordination is formulated as a mixed-integer linear programming problem given as the maximization of profit subjected to technical operation constraints, including the ones related to a transmission line. Probability density functions are used to model the variability of the hourly wind speed and the solar irradiation in regard to a negative correlation. Case studies based on an Iberian Peninsula wind and concentrated solar power plants are presented, providing the optimal energy and spinning reserve for the short-term self-scheduling in order to unveil the coordination benefits and synergies between wind and solar resources. Results and sensitivity analysis are in favour of the coordination, showing an increase on profit, allowing for spinning reserve, reducing the need for curtailment, increasing the transmission line capacity factor. (C) 2014 Elsevier Ltd. All rights reserved.Pergamon-Elsevier Science LTDRCIPLPousinho, Hugo Miguel InácioSilva, Hugo Alexandre Fernandes dos Santos eMendes, VictorCollares-Pereira, ManuelCabrita, C. Pereira2015-08-20T15:29:14Z2014-122014-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/4894engPOUSINHO, Hugo Miguel Inácio; [et al] – Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach. Energy. ISSN: 0360-5442. Vol. 78, (2014), p. 524-534.0360-544210.1016/j.energy.2014.10.039metadata 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:RCAAP2023-08-03T09:47:32Zoai:repositorio.ipl.pt:10400.21/4894Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:14:15.630187Repositório 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 for energy and spinning reserve of wind/CSP plants by a MILP approach
title Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
spellingShingle Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
Pousinho, Hugo Miguel Inácio
Wind/CSP Self-Scheduling
Mixed-Integer Linear Programming
Spinning Reserve
Transmission Constraints
title_short Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
title_full Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
title_fullStr Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
title_full_unstemmed Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
title_sort Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
author Pousinho, Hugo Miguel Inácio
author_facet Pousinho, Hugo Miguel Inácio
Silva, Hugo Alexandre Fernandes dos Santos e
Mendes, Victor
Collares-Pereira, Manuel
Cabrita, C. Pereira
author_role author
author2 Silva, Hugo Alexandre Fernandes dos Santos e
Mendes, Victor
Collares-Pereira, Manuel
Cabrita, C. Pereira
author2_role author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Pousinho, Hugo Miguel Inácio
Silva, Hugo Alexandre Fernandes dos Santos e
Mendes, Victor
Collares-Pereira, Manuel
Cabrita, C. Pereira
dc.subject.por.fl_str_mv Wind/CSP Self-Scheduling
Mixed-Integer Linear Programming
Spinning Reserve
Transmission Constraints
topic Wind/CSP Self-Scheduling
Mixed-Integer Linear Programming
Spinning Reserve
Transmission Constraints
description This paper is on the self-scheduling for a power producer taking part in day-ahead joint energy and spinning reserve markets and aiming at a short-term coordination of wind power plants with concentrated solar power plants having thermal energy storage. The short-term coordination is formulated as a mixed-integer linear programming problem given as the maximization of profit subjected to technical operation constraints, including the ones related to a transmission line. Probability density functions are used to model the variability of the hourly wind speed and the solar irradiation in regard to a negative correlation. Case studies based on an Iberian Peninsula wind and concentrated solar power plants are presented, providing the optimal energy and spinning reserve for the short-term self-scheduling in order to unveil the coordination benefits and synergies between wind and solar resources. Results and sensitivity analysis are in favour of the coordination, showing an increase on profit, allowing for spinning reserve, reducing the need for curtailment, increasing the transmission line capacity factor. (C) 2014 Elsevier Ltd. All rights reserved.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
2014-12-01T00:00:00Z
2015-08-20T15:29:14Z
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/10400.21/4894
url http://hdl.handle.net/10400.21/4894
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv POUSINHO, Hugo Miguel Inácio; [et al] – Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach. Energy. ISSN: 0360-5442. Vol. 78, (2014), p. 524-534.
0360-5442
10.1016/j.energy.2014.10.039
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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