Intelligent agent based auction by economic generation scheduling for microgrid operation

This paper presents the implementation of distributed controls in a microgrid operation. The approach utilizes the advantages of using Multi Agent Systems technology for controlled operation of a microgrid. The auctioneer aims to optimize the operation of the microgrid by optimizing the production of local distributed generators. An artificial immune system based algorithm is applied on a typical study case network assuming realistic market prices for power and distributed generators bids reflecting realistic operational costs. Simulation results clearly indicate that the agent based control framework is effective in coordinating the various distributed energy resources economically.