Intelligent micro grid management using a multi-agent approach

Pedro Oliveira, Tiago Pinto, Isabel Praca, Zita Vale, Hugo Morais

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publication2013 IEEE Grenoble PowerTech
Number of pages6
Publication date2013
ISBN (Print)9781467356695
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Grenoble PowerTech Conference - Grenoble, France
Duration: 16 Jun 201320 Jun 2013


Conference2013 IEEE Grenoble PowerTech Conference
Internet address


  • Power, Energy and Industry Applications


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