Real-time implementation of multiagent-based game theory reverse auction model for microgrid market operation

This paper presents a real-time implementation of multi-agent based game theory reverse auction model for microgrid market operation featuring conventional and renewable distributed energy resources (DER). Studies were conducted for a grid connected microgrid consisting of a synchronous generator, two inverter-based generation units and a combined load. The Multi-agent based platform was applied to monitoring, controlling and per-forming the reverse auction process of the DER. A competitive game-theory reverse auction model was investigated to schedule the DER unit commitment with hour-ahead market approach for the twenty-four hours of the day. The proposed methodology was realistically implemented and operated at Florida International University, Smart Grid Test system. The investigation shows that the proposed algorithm and the industrial based hardware structure can be implemented in existing electric utility grid as new assets of the system are added.