A MPCC-NLP approach for an electric power market problem

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Helena Sofia
Data de Publicação: 2010
Outros Autores: Monteiro, M. Teresa T., Vaz, A. Ismael F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/10842
Resumo: The electric power market is changing - it has passed from a regulated market, where the government of each country had the control of prices, to a deregulated market economy. Each company competes in order to get more clients and maximize its profits. This market is represented by a Stackelberg game with two firms, leader and follower, and the leader anticipates the reaction of the follower. The problem is formulated as a Mathematical Program with Complementarity Constraints (MPCC). It is shown that the constraint qualifications usually assumed to prove convergence of standard algorithms fail to hold for MPCC. To circumvent this, a reformulation for a nonlinear problem (NLP) is proposed. Numerical tests using the NEOS server platform are presented.
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spelling A MPCC-NLP approach for an electric power market problemElectric powerStackelberg gameNonlinear ProgrammingComplementarity constrained problemThe electric power market is changing - it has passed from a regulated market, where the government of each country had the control of prices, to a deregulated market economy. Each company competes in order to get more clients and maximize its profits. This market is represented by a Stackelberg game with two firms, leader and follower, and the leader anticipates the reaction of the follower. The problem is formulated as a Mathematical Program with Complementarity Constraints (MPCC). It is shown that the constraint qualifications usually assumed to prove convergence of standard algorithms fail to hold for MPCC. To circumvent this, a reformulation for a nonlinear problem (NLP) is proposed. Numerical tests using the NEOS server platform are presented.Universidade do MinhoRodrigues, Helena SofiaMonteiro, M. Teresa T.Vaz, A. Ismael F.2010-032010-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/10842eng“Smart Grid and Renewable Energy”. ISSN 2151-481X. 1:1 (Maio 2010) 54-6.2151-481X2151-4844info: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:RCAAP2023-07-21T12:06:28Zoai:repositorium.sdum.uminho.pt:1822/10842Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:57:08.773543Repositório 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 MPCC-NLP approach for an electric power market problem
title A MPCC-NLP approach for an electric power market problem
spellingShingle A MPCC-NLP approach for an electric power market problem
Rodrigues, Helena Sofia
Electric power
Stackelberg game
Nonlinear Programming
Complementarity constrained problem
title_short A MPCC-NLP approach for an electric power market problem
title_full A MPCC-NLP approach for an electric power market problem
title_fullStr A MPCC-NLP approach for an electric power market problem
title_full_unstemmed A MPCC-NLP approach for an electric power market problem
title_sort A MPCC-NLP approach for an electric power market problem
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
Nonlinear Programming
Complementarity constrained problem
topic Electric power
Stackelberg game
Nonlinear Programming
Complementarity constrained problem
description The electric power market is changing - it has passed from a regulated market, where the government of each country had the control of prices, to a deregulated market economy. Each company competes in order to get more clients and maximize its profits. This market is represented by a Stackelberg game with two firms, leader and follower, and the leader anticipates the reaction of the follower. The problem is formulated as a Mathematical Program with Complementarity Constraints (MPCC). It is shown that the constraint qualifications usually assumed to prove convergence of standard algorithms fail to hold for MPCC. To circumvent this, a reformulation for a nonlinear problem (NLP) is proposed. Numerical tests using the NEOS server platform are presented.
publishDate 2010
dc.date.none.fl_str_mv 2010-03
2010-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/10842
url https://hdl.handle.net/1822/10842
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv “Smart Grid and Renewable Energy”. ISSN 2151-481X. 1:1 (Maio 2010) 54-6.
2151-481X
2151-4844
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