The general model and solution algorithm for the optimization of micro-energy grid with combined cooling

heating and power system are proposed by using the non-cooperative game. Based on the game theory

the game model between micro-energy grid and user is established

which proves that the game has the Nash equilibrium(NE)and the simulation method based on the definition of NE is put forward. The fuzzy bi-objective algorithm is used to normalize the payment and the user dissatisfaction. In the game

the user adjusts the power consumption strategy

and the micro-energy grid adjusts the electricity price according to the user's load plan and optimizes the cooling

heating and power loads. The typical daily loads of a community in summer and in winter are taken as examples to solve the game model. The simulation results indicate that the micro-energy grid has better consumption capacity of renewable energy in the proposed game mode and realizes the energy optimization via the rational action of micro-energy grid individuals

and the user can achieve economic optimality with considering the experience of using energy.