Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/7326
Título: Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling
Autor: Santos, Gabriel
Pinto, Tiago
Morais, Hugo
Sousa, Tiago M.
Pereira, Ivo F.
Fernandes, Ricardo
Praça, Isabel
Vale, Zita
Palavras-chave: Decision support in power systems
Electricity market simulation
Multi-agent systems
Ontologies
Data: Jul-2015
Editora: Elsevier
Relatório da Série N.º: Energy Conversion and Management;Vol. 99
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.
Peer review: yes
URI: http://hdl.handle.net/10400.22/7326
DOI: 10.1016/j.enconman.2015.04.042
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S0196890415003969
Aparece nas colecções:ISEP – GECAD – Artigos

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
ART6_GabrielSantos_2015_GECAD.pdf2,19 MBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.