A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/79691 |
Resumo: | This paper discusses the current Brazilian electricity market, brings out some dilemmas that should be examined in order to implement a more market-oriented approach, and describes a new market design to overcome these issues. The proposed market design is based on virtual reservoirs and aims at enhancing the flexibility to enable market participants to comply with their contracts, while still ensuring the efficient use of the water and maintaining the current level of the security of supply. In addition, to simulate the behavior of the market participants in this new framework, an Agent-Based Model - ABM where agents use reinforcement Q-Learning - is developed and applied to a case study that includes a centralized dispatch as currently exists in Brazil. The results obtained so far show that this new design is suitable to allow hydros managing their commercial contract commitments with extra flexibility. |
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A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based ModelEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electrical engineering, Electronic engineering, Information engineeringThis paper discusses the current Brazilian electricity market, brings out some dilemmas that should be examined in order to implement a more market-oriented approach, and describes a new market design to overcome these issues. The proposed market design is based on virtual reservoirs and aims at enhancing the flexibility to enable market participants to comply with their contracts, while still ensuring the efficient use of the water and maintaining the current level of the security of supply. In addition, to simulate the behavior of the market participants in this new framework, an Agent-Based Model - ABM where agents use reinforcement Q-Learning - is developed and applied to a case study that includes a centralized dispatch as currently exists in Brazil. The results obtained so far show that this new design is suitable to allow hydros managing their commercial contract commitments with extra flexibility.20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/79691eng10.1109/EEM.2015.7216617Felipe Alves CalabriaJoão Tomé SaraivaAna Paula Rochainfo: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:RCAAP2023-11-29T14:04:46Zoai:repositorio-aberto.up.pt:10216/79691Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:54:11.074091Repositório 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 |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
title |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
spellingShingle |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model Felipe Alves Calabria Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
title_short |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
title_full |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
title_fullStr |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
title_full_unstemmed |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
title_sort |
A virtual reservoir electricity market design applied to the Brazilian system using an Agent Based Model |
author |
Felipe Alves Calabria |
author_facet |
Felipe Alves Calabria João Tomé Saraiva Ana Paula Rocha |
author_role |
author |
author2 |
João Tomé Saraiva Ana Paula Rocha |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Felipe Alves Calabria João Tomé Saraiva Ana Paula Rocha |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
description |
This paper discusses the current Brazilian electricity market, brings out some dilemmas that should be examined in order to implement a more market-oriented approach, and describes a new market design to overcome these issues. The proposed market design is based on virtual reservoirs and aims at enhancing the flexibility to enable market participants to comply with their contracts, while still ensuring the efficient use of the water and maintaining the current level of the security of supply. In addition, to simulate the behavior of the market participants in this new framework, an Agent-Based Model - ABM where agents use reinforcement Q-Learning - is developed and applied to a case study that includes a centralized dispatch as currently exists in Brazil. The results obtained so far show that this new design is suitable to allow hydros managing their commercial contract commitments with extra flexibility. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/79691 |
url |
https://hdl.handle.net/10216/79691 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1109/EEM.2015.7216617 |
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.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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1799135862132310016 |