Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
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/10400.21/7950 |
Resumo: | This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed. |
id |
RCAP_4cc975f6c5de2542d6b05dd9ca59c2a5 |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/7950 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead marketJoint operationDay-ahead marketEnergy storagePV powerStochastic linear programmingWind powerThis paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed.ElsevierRCIPLGomes, Isaias L. R.Pousinho, H. M. I.Melicio, RuiMendes, Victor2018-01-19T12:43:13Z2017-04-012017-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/7950engGOMES, I. L. R.; [et al] – Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market. Energy. ISSN 0360-5442. Vol. 124 (2017), pp. 310-3200360-5442https://doi.org/10.1016/j.energy.2017.02.080metadata 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:RCAAP2023-08-03T09:54:43Zoai:repositorio.ipl.pt:10400.21/7950Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:16:48.190959Repositório 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 |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
title |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
spellingShingle |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market Gomes, Isaias L. R. Joint operation Day-ahead market Energy storage PV power Stochastic linear programming Wind power |
title_short |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
title_full |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
title_fullStr |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
title_full_unstemmed |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
title_sort |
Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market |
author |
Gomes, Isaias L. R. |
author_facet |
Gomes, Isaias L. R. Pousinho, H. M. I. Melicio, Rui Mendes, Victor |
author_role |
author |
author2 |
Pousinho, H. M. I. Melicio, Rui Mendes, Victor |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Gomes, Isaias L. R. Pousinho, H. M. I. Melicio, Rui Mendes, Victor |
dc.subject.por.fl_str_mv |
Joint operation Day-ahead market Energy storage PV power Stochastic linear programming Wind power |
topic |
Joint operation Day-ahead market Energy storage PV power Stochastic linear programming Wind power |
description |
This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-01 2017-04-01T00:00:00Z 2018-01-19T12:43:13Z |
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/10400.21/7950 |
url |
http://hdl.handle.net/10400.21/7950 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
GOMES, I. L. R.; [et al] – Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market. Energy. ISSN 0360-5442. Vol. 124 (2017), pp. 310-320 0360-5442 https://doi.org/10.1016/j.energy.2017.02.080 |
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 |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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_ |
1799133429448572928 |