Towards an Electricity Market Simulator

This paper describes a multi-agent based simulation (MABS) framework to construct an arti cial electric power market populated with learning agents. The arti cial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: i) the speci cation of the environmental physical market properties, and ii) the modeling of the decision-making (deliberative) and reactive agents. TEMMAS is materialized in an experimental setup involving distinct power generator companies which operate in the market and search for the trading strategies that best exploit their generating units’ resources. The experimental results show a coherent market behavior that emerges from the overall simulated environment.