In order to improve the efficiency of integrated energy microgrid, considering the user side and energy supply side respectively, a two-level optimization game model between load aggregator and integrated energy microgrid operator based on stackelberg game is established. Firstly, considering the active role of users and the multi-energy complementary characteristics of the user side, the energy consumption behavior of users is analyzed. Secondly, considering the marginal utility of user energy consumption, an optimization model of load aggregators aiming at the maximum user satisfaction is proposed, and the energy purchase plan of load aggregators is formulated. At the same time, the pricing strategy model of integrated energy system operators aiming at maximizing revenue is established, and a reasonable price incentive mechanism is constructed. Then, the double-layer model is transformed into a single-layer model by Karush-Kuhn-Tucker (KKT) conditional transformation, and the original bilinear nonconvex problem is convexly relaxed and solved by McCormick Envelopes method. The simulation results of an example show that this method can promote the interaction between the energy supply side and the user side of the system, improve the energy consumption satisfaction of the user side, and improve the income of the energy supply side of the integrated energy microgrid, which is conducive to the overall development of the integrated energy system.