The ratio of electric and thermal load in the integrated energy system with access of power-to-gas(P2G)equipment is affected by user behaviors. So this paper develops a two-stage day-ahead economical dispatch model of the electricity-gas-heat integrated energy system considering user behaviors. In this model

the minimum deviation between actual forecasting load and target load and the minimum volatility of daily load are taken as the optimization goals of the first stage. Then the electric and thermal load curve under load response is obtained in CPLEX solver. Based on the load obtained in the first stage

the lowest integrated purchasing cost is taken as the optimization goal of the second stage. The seeker optimization algorithm(SOA)is used to solve this nonlinear optimization problem. The quantitative and qualitative analysis of the relationship between the capacity of P2G and energy storage device and the system economy is carried out in four scenarios. The effectiveness of the proposed model is verified in terms of wind power accommodation and system economic operation.