| The microgrid is an important part of smart grid.With the adjustment of energy strategy,the development of demand response technology and the reform of power marketization,microgrid is facing challenges in many aspects,such as the limited energy resources,the complexity of multi-energy coupling and the competitive power supply of multiple power companies.It is difficult to deal with the optimization theory of single-agent decision-making in traditional power grids.Game theory oriented to multi-agent and multi-objective optimization has become a key technology in microgrid demand response,and it is very important to formulate effective energy scheduling strategies.In view of this,this paper focuses on three aspects of multi-energy coupling energy management,consideration of user priority,and multi-power company competition for power supply.The main tasks include:Aiming at the problem of multi-energy coupling,a multi-energy coupling multi-residential building microgrid framework is proposed,and a one-to-many Stackelberg game model between energy center and residential buildings is established,and the existence of Stackelberg equilibrium point is proved by using the properties of convex function.Based on the genetic algorithm,a two-layer iterative algorithm is designed to solve Stackelberg equilibrium point,and numerical simulation verifies the rationality of the multi-energy coupling microgrid framework and the effectiveness of the algorithm.Aiming at the problem of multi-user priority,a multi-user priority multi-energy coupled microgrid framework is proposed.The end users use satisfaction function to determine the priority,and a one-to-many Stackelberg game model between the energy center and the end users is established,and the existence and uniqueness of Stackelberg equilibrium point are proved by using the properties of convex function and equivalent transformation mathematical techniques.Based on the genetic algorithm,a two-layer iterative algorithm is designed to solve the Stackelberg equilibrium point,and numerical simulation verifies the rationality of the multi-user priority multi-energy coupled microgrid framework and the effectiveness of the algorithm.Aiming at the power supply problem of multiple power companies,a multiple-companies and multiple-residents microgrid framework is proposed,and a many-to-many Stackelberg game model between power companies and residents is established,and the existence and uniqueness of Stackelberg equilibrium point are proved by using KKT condition and quasi-concave function property.Based on the supply-demand ratio,a two-layer iterative algorithm is designed to solve the Stackelberg equilibrium point,and numerical simulation verifies the rationality of the framework and the effectiveness of the algorithm. |