Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5914
Título: Intelligent Micro Grid Management using a Multi-Agent approach
Autor: Oliveira, Pedro
Pinto, Tiago
Praça, Isabel
Vale, Zita
Morais, Hugo
Palavras-chave: Artificial Intelligence
Electricity Markets
Micro Grid
Multi-agent Simulation
Data: Jun-2013
Editora: IEEE
Relatório da Série N.º: POWERTECH;2013
Resumo: Recent changes in electricity markets (EMs) have been potentiating the globalization of distributed generation. With distributed generation the number of players acting in the EMs and connected to the main grid has grown, increasing the market complexity. Multi-agent simulation arises as an interesting way of analysing players’ behaviour and interactions, namely coalitions of players, as well as their effects on the market. MASCEM was developed to allow studying the market operation of several different players and MASGriP is being developed to allow the simulation of the micro and smart grid concepts in very different scenarios This paper presents a methodology based on artificial intelligence techniques (AI) for the management of a micro grid. The use of fuzzy logic is proposed for the analysis of the agent consumption elasticity, while a case based reasoning, used to predict agents’ reaction to price changes, is an interesting tool for the micro grid operator.
URI: http://hdl.handle.net/10400.22/5914
DOI: 10.1109/PTC.2013.6652263
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6652263&queryText%3DIntelligent+Micro+Grid+Management+using+a+Multi-Agent+approach
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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