Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5941
Título: Load Control Timescales Simulation in a Multi-Agent Smart Grid Platform
Autor: Oliveira, Pedro
Gomes, Luis
Pinto, Tiago
Faria, Pedro
Vale, Zita
Morais, Hugo
Palavras-chave: Artificial Intelligence
Demand Response
Micro Grid
Multi-agent Simulation
Smart Grid
Data: Out-2013
Editora: IEEE
Relatório da Série N.º: PES;2013
Resumo: Environmental concerns and the shortage in the fossil fuel reserves have been potentiating the growth and globalization of distributed generation. Another resource that has been increasing its importance is the demand response, which is used to change consumers’ consumption profile, helping to reduce peak demand. Aiming to support small players’ participation in demand response events, the Curtailment Service Provider emerged. This player works as an aggregator for demand response events. The control of small and medium players which act in smart grid and micro grid environments is enhanced with a multi-agent system with artificial intelligence techniques – the MASGriP (Multi-Agent Smart Grid Platform). Using strategic behaviours in each player, this system simulates the profile of real players by using software agents. This paper shows the importance of modeling these behaviours for studying this type of scenarios. A case study with three examples shows the differences between each player and the best behaviour in order to achieve the higher profit in each situation.
URI: http://hdl.handle.net/10400.22/5941
DOI: 10.1109/ISGTEurope.2013.6695364
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6695364&queryText%3DLoad+Control+Timescales+Simulation+in+a+Multi-Agent+Smart+Grid+Platform
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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