Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/10174/19695 https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.109 https://doi.org/10.1016/j.egypro.2016.12.109 |
Resumo: | The variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy assisted by a cyber-physical system for supporting management decisions to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a stochastic linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modelled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market. |
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Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPSCoordinated bidding strategieswind-PV power systemlinear programmingday-ahead marketThe variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy assisted by a cyber-physical system for supporting management decisions to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a stochastic linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modelled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market.2017-01-10T15:40:35Z2017-01-102016-12-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/19695https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.109http://hdl.handle.net/10174/19695https://doi.org/10.1016/j.egypro.2016.12.109enghttp://www.sciencedirect.com/science/article/pii/S1876610216316678ndndruimelicio@gmail.comnd483Gomes, IsaíasPousinho, HugoMelício, RuiMendes, Victorinfo: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:RCAAP2024-01-03T19:08:44Zoai:dspace.uevora.pt:10174/19695Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:11:12.573589Repositório 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 |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
title |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
spellingShingle |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS Gomes, Isaías Coordinated bidding strategies wind-PV power system linear programming day-ahead market |
title_short |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
title_full |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
title_fullStr |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
title_full_unstemmed |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
title_sort |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS |
author |
Gomes, Isaías |
author_facet |
Gomes, Isaías Pousinho, Hugo Melício, Rui Mendes, Victor |
author_role |
author |
author2 |
Pousinho, Hugo Melício, Rui Mendes, Victor |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Gomes, Isaías Pousinho, Hugo Melício, Rui Mendes, Victor |
dc.subject.por.fl_str_mv |
Coordinated bidding strategies wind-PV power system linear programming day-ahead market |
topic |
Coordinated bidding strategies wind-PV power system linear programming day-ahead market |
description |
The variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy assisted by a cyber-physical system for supporting management decisions to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a stochastic linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modelled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-26T00:00:00Z 2017-01-10T15:40:35Z 2017-01-10 |
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/10174/19695 https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.109 http://hdl.handle.net/10174/19695 https://doi.org/10.1016/j.egypro.2016.12.109 |
url |
http://hdl.handle.net/10174/19695 https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.109 https://doi.org/10.1016/j.egypro.2016.12.109 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.sciencedirect.com/science/article/pii/S1876610216316678 nd nd ruimelicio@gmail.com nd 483 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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