Simulating a Multi-agent Electricity Market

This paper proposes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The proposed frame-work facilitates the integration of two MABS constructs: i) the design of the environmental physical market properties, and ii) the simulation models of the decision-making and reactive agents. The framework 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.