Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets

Worldwide efforts to attain a more renewable-based energy matrix have led to the creation of carbon emission related markets. Simultaneously, the increasing penetration, mostly of renewable-based sources, in distribution networks may allow distribution system operators (DSOs) to change their traditi...

Descripción completa

Detalles Bibliográficos
Autores: Rodrigues Faria, Wandry, Muñoz Delgado, Gregorio, Contreras Sanz, Javier, Rodrigues Pereira Junior, Benvindo
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/40099
Acceso en línea:https://hdl.handle.net/10578/40099
Access Level:acceso abierto
Palabra clave:Bilevel programming
Distribution system operation
Joint electricity and carbon trading
Wholesale day-ahead markets
id ES_6a296dc8fb8ca970e63a9d1227d0dca2
oai_identifier_str oai:ruidera.uclm.es:10578/40099
network_acronym_str ES
network_name_str España
repository_id_str
spelling Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead marketsRodrigues Faria, WandryMuñoz Delgado, GregorioContreras Sanz, JavierRodrigues Pereira Junior, BenvindoBilevel programmingDistribution system operationJoint electricity and carbon tradingWholesale day-ahead marketsWorldwide efforts to attain a more renewable-based energy matrix have led to the creation of carbon emission related markets. Simultaneously, the increasing penetration, mostly of renewable-based sources, in distribution networks may allow distribution system operators (DSOs) to change their traditional participation in wholesale markets as passive buyers. Over the last few years, many authors have investigated and proposed optimization models for the strategic participation of DSOs in electricity markets. Nonetheless, proposals regarding the DSO as a strategic agent in both electricity and carbon-related markets are rare. In this paper, we propose a stochastic bilevel formulation to address this gap. The economic and operational constraints of each stakeholder are considered in the model. Additionally, the problem is written in a convex formulation for which finite convergence to optimality is guaranteed. The formulation was tested for a 14-node transmission system and a 34-node distribution system in which dispatchable and non-dispatchable energy sources, energy storage systems, and demand response units are installed. The results show the DSOs capacity to place strategic bids in both market environments to maximize its profit, which features intentionally taking financial losses in the carbon allowance market to maximize the overall profit due to the income maximization in the electricity market. Finally, an additional case study with a 123-node distribution system shows the proposed methods scalability.Elsevier202520252024info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/40099reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésFinance Code 001Grant 2021/04628-0Grant PID2021-122579OB-I00Grant SBPLY/21/180501/000154info:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/400992026-05-27T07:36:41Z
dc.title.none.fl_str_mv Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
title Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
spellingShingle Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
Rodrigues Faria, Wandry
Bilevel programming
Distribution system operation
Joint electricity and carbon trading
Wholesale day-ahead markets
title_short Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
title_full Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
title_fullStr Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
title_full_unstemmed Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
title_sort Distribution and transmission coordinated dispatch under joint electricity and carbon day-ahead markets
dc.creator.none.fl_str_mv Rodrigues Faria, Wandry
Muñoz Delgado, Gregorio
Contreras Sanz, Javier
Rodrigues Pereira Junior, Benvindo
author Rodrigues Faria, Wandry
author_facet Rodrigues Faria, Wandry
Muñoz Delgado, Gregorio
Contreras Sanz, Javier
Rodrigues Pereira Junior, Benvindo
author_role author
author2 Muñoz Delgado, Gregorio
Contreras Sanz, Javier
Rodrigues Pereira Junior, Benvindo
author2_role author
author
author
dc.subject.none.fl_str_mv Bilevel programming
Distribution system operation
Joint electricity and carbon trading
Wholesale day-ahead markets
topic Bilevel programming
Distribution system operation
Joint electricity and carbon trading
Wholesale day-ahead markets
description Worldwide efforts to attain a more renewable-based energy matrix have led to the creation of carbon emission related markets. Simultaneously, the increasing penetration, mostly of renewable-based sources, in distribution networks may allow distribution system operators (DSOs) to change their traditional participation in wholesale markets as passive buyers. Over the last few years, many authors have investigated and proposed optimization models for the strategic participation of DSOs in electricity markets. Nonetheless, proposals regarding the DSO as a strategic agent in both electricity and carbon-related markets are rare. In this paper, we propose a stochastic bilevel formulation to address this gap. The economic and operational constraints of each stakeholder are considered in the model. Additionally, the problem is written in a convex formulation for which finite convergence to optimality is guaranteed. The formulation was tested for a 14-node transmission system and a 34-node distribution system in which dispatchable and non-dispatchable energy sources, energy storage systems, and demand response units are installed. The results show the DSOs capacity to place strategic bids in both market environments to maximize its profit, which features intentionally taking financial losses in the carbon allowance market to maximize the overall profit due to the income maximization in the electricity market. Finally, an additional case study with a 123-node distribution system shows the proposed methods scalability.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/40099
url https://hdl.handle.net/10578/40099
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Finance Code 001
Grant 2021/04628-0
Grant PID2021-122579OB-I00
Grant SBPLY/21/180501/000154
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410080745586688
score 15,811543

Similares en LA Referencia