Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

Detalhes bibliográficos
Autor(a) principal: Santos, Gabriel
Data de Publicação: 2015
Outros Autores: Pinto, Tiago, Morais, Hugo, Sousa, Tiago M., Pereira, Ivo F., Fernandes, Ricardo, Praça, Isabel, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/7326
Resumo: The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.
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spelling Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modelingDecision support in power systemsElectricity market simulationMulti-agent systemsOntologiesThe electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.ElsevierRepositório Científico do Instituto Politécnico do PortoSantos, GabrielPinto, TiagoMorais, HugoSousa, Tiago M.Pereira, Ivo F.Fernandes, RicardoPraça, IsabelVale, Zita2016-01-07T16:02:46Z2015-072015-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/7326eng10.1016/j.enconman.2015.04.042metadata only accessinfo: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:RCAAP2023-03-13T12:47:49Zoai:recipp.ipp.pt:10400.22/7326Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:27:51.066164Repositório 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 Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
title Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
spellingShingle Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
Santos, Gabriel
Decision support in power systems
Electricity market simulation
Multi-agent systems
Ontologies
title_short Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
title_full Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
title_fullStr Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
title_full_unstemmed Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
title_sort Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
author Santos, Gabriel
author_facet Santos, Gabriel
Pinto, Tiago
Morais, Hugo
Sousa, Tiago M.
Pereira, Ivo F.
Fernandes, Ricardo
Praça, Isabel
Vale, Zita
author_role author
author2 Pinto, Tiago
Morais, Hugo
Sousa, Tiago M.
Pereira, Ivo F.
Fernandes, Ricardo
Praça, Isabel
Vale, Zita
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Santos, Gabriel
Pinto, Tiago
Morais, Hugo
Sousa, Tiago M.
Pereira, Ivo F.
Fernandes, Ricardo
Praça, Isabel
Vale, Zita
dc.subject.por.fl_str_mv Decision support in power systems
Electricity market simulation
Multi-agent systems
Ontologies
topic Decision support in power systems
Electricity market simulation
Multi-agent systems
Ontologies
description The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.
publishDate 2015
dc.date.none.fl_str_mv 2015-07
2015-07-01T00:00:00Z
2016-01-07T16:02:46Z
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dc.relation.none.fl_str_mv 10.1016/j.enconman.2015.04.042
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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