Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , |
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. |
id |
RCAP_831a80e2fcd3bc091553ef4d30f9f6ee |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/4894 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
|
_version_ |
1799133400456495104 |