A MPCC approach on a Stackelberg game in an electric power market : changing the leadership
Main Author: | |
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Publication Date: | 2008 |
Other Authors: | , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/10834 |
Summary: | An electric power market is studied as a Stackelberg game where two firms, A and B, produce energy. It is analyzed two distinct situations, according to the firm who plays the leader role: the first one, when the firm A is the leader and the other firm is the follower, and the second that is the reverse of the players roles. The main goal is to understand the behavior of the various agents that compose the electric power network, such as transmissions capacity, quantities of power generated and demanded, when changing leadership. The problem is formulated as a Mathematical Program with Complementarity Constraints (MPCC) and reformulated into a Nonlinear Program (NLP), allowing the use of robust NLP solvers. Numerical results are presented and some final considerations are carried out. |
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A MPCC approach on a Stackelberg game in an electric power market : changing the leadershipElectric powerStackelberg gameLeadershipMPCCNLP solverAn electric power market is studied as a Stackelberg game where two firms, A and B, produce energy. It is analyzed two distinct situations, according to the firm who plays the leader role: the first one, when the firm A is the leader and the other firm is the follower, and the second that is the reverse of the players roles. The main goal is to understand the behavior of the various agents that compose the electric power network, such as transmissions capacity, quantities of power generated and demanded, when changing leadership. The problem is formulated as a Mathematical Program with Complementarity Constraints (MPCC) and reformulated into a Nonlinear Program (NLP), allowing the use of robust NLP solvers. Numerical results are presented and some final considerations are carried out.Universidade do Minho. Centro AlgoritmiFundação para a Ciência e a Tecnologia (FCT)Universidade do MinhoRodrigues, Helena SofiaMonteiro, M. Teresa T.Vaz, A. Ismael F.20082008-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/10834engVIGO-AGUIAR, J. [et al.], eds. – “Proceedings of the International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2008), 8, Murcia, Espanha, 2008.” [Murcia : Universidade de Murcia, 2008]. ISBN 978-84-612-1982-7. Vol. 2, p. 547-557.978-84-612-1982-7info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:42:52Zoai:repositorium.sdum.uminho.pt:1822/10834Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:27:34.779541Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
title |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
spellingShingle |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership Rodrigues, Helena Sofia Electric power Stackelberg game Leadership MPCC NLP solver |
title_short |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
title_full |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
title_fullStr |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
title_full_unstemmed |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
title_sort |
A MPCC approach on a Stackelberg game in an electric power market : changing the leadership |
author |
Rodrigues, Helena Sofia |
author_facet |
Rodrigues, Helena Sofia Monteiro, M. Teresa T. Vaz, A. Ismael F. |
author_role |
author |
author2 |
Monteiro, M. Teresa T. Vaz, A. Ismael F. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rodrigues, Helena Sofia Monteiro, M. Teresa T. Vaz, A. Ismael F. |
dc.subject.por.fl_str_mv |
Electric power Stackelberg game Leadership MPCC NLP solver |
topic |
Electric power Stackelberg game Leadership MPCC NLP solver |
description |
An electric power market is studied as a Stackelberg game where two firms, A and B, produce energy. It is analyzed two distinct situations, according to the firm who plays the leader role: the first one, when the firm A is the leader and the other firm is the follower, and the second that is the reverse of the players roles. The main goal is to understand the behavior of the various agents that compose the electric power network, such as transmissions capacity, quantities of power generated and demanded, when changing leadership. The problem is formulated as a Mathematical Program with Complementarity Constraints (MPCC) and reformulated into a Nonlinear Program (NLP), allowing the use of robust NLP solvers. Numerical results are presented and some final considerations are carried out. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008 2008-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/10834 |
url |
http://hdl.handle.net/1822/10834 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
VIGO-AGUIAR, J. [et al.], eds. – “Proceedings of the International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2008), 8, Murcia, Espanha, 2008.” [Murcia : Universidade de Murcia, 2008]. ISBN 978-84-612-1982-7. Vol. 2, p. 547-557. 978-84-612-1982-7 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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