Environmental concerns and the shortage in the fossilfuel reserves have been potentiating the growth andglobalization of distributed generation. Another resource thathas been increasing its importance is the demand response,which is used to change consumers’ consumption profile,helping to reduce peak demand. Aiming to support smallplayers’ participation in demand response events, theCurtailment Service Provider emerged. This player works as anaggregator for demand response events. The control of smalland medium players which act in smart grid and micro gridenvironments is enhanced with a multi-agent system withartificial intelligence techniques – the MASGriP (Multi-AgentSmart Grid Platform). Using strategic behaviours in eachplayer, this system simulates the profile of real players by usingsoftware agents. This paper shows the importance of modelingthese behaviours for studying this type of scenarios. A case studywith three examples shows the differences between each playerand the best behaviour in order to achieve the higher profit ineach situation.
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