Intelligent Micro Grid Management using a Multi-Agent approach


Autoria(s): Oliveira, Pedro; Pinto, Tiago; Praça, Isabel; Vale, Zita; Morais, Hugo
Data(s)

05/05/2015

05/05/2015

01/06/2013

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.

Identificador

http://hdl.handle.net/10400.22/5914

10.1109/PTC.2013.6652263

Idioma(s)

eng

Publicador

IEEE

Relação

POWERTECH;2013

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6652263&queryText%3DIntelligent+Micro+Grid+Management+using+a+Multi-Agent+approach

Direitos

openAccess

Palavras-Chave #Artificial Intelligence #Electricity Markets #Micro Grid #Multi-agent Simulation
Tipo

conferenceObject