1.School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo;2.Shandong Kehui Power Automation Company Limited,Zibo, China
In the open environment of the electricity market, there are more multi-type agents with subjective decision-making ability. Traditional decision theory is not enough to solve the complex interaction problem between multiple agents, but the game theory can be applied to the analysis of multi-agent game behavior from the perspective of open markets. In this paper, we consider an electricity market composed of multiple generators, multiple suppliers and multiple users, and establish a two-layer master-slave game cooperation model for optimal market multi-agent scheduling. Firstly, in the upper wholesale market, a master-slave game model based on bilateral contract mechanism is established. Secondly, a master-slave game model of the retail market is established, which takes into account the real-time price mechanism. Then, the existence of Nash equilibrium solution is proved, and distributed algorithm is designed to solve it. Finally, the simulation results show that the proposed model is effective in reducing the cost and ensuring the balance between supply and demand.