The evolutionary game of electric power market including renewable resource generation

The Future Renewable Electric Energy Delivery and Management (FREEDM) systems provide a promising solution to accommodate the high penetration of intermittent renewable energy resources by energy internet. As the intelligent power distribution system, the FREEDM systems allow users to use their own Distributed Generation (DG) and load to participate in the competitive electricity market. In this paper, we first assume the users have the DG and elastic load. Then we establish the three layers evolutionary game model including customer-side, supply-side and generation-side under the condition of incomplete information. Lastly, we realize the simulation of evolutionary game for eight-bus system by multi-agent technology and reinforcement learning algorithm. The results of simulation verify the validity of the proposed model and method.