This paper takes the multi-energy complementary energy internet economic operation as the research purpose, considers the cooperative operation, constraints and time-of-use electricity price factors among multi-energy flow equipment, and takes the economic and environmental comprehensive benefits as the multi-objective function, and proposes three different operational optimization control strategies. In this paper, the mathematical model including wind and solar power generation unit, combined cooling, heating and power unit, cooling/heating unit and electricity storage unit is studied. The model parameters are obtained by optimization using the adaptive niche genetic algorithm. According to the second-level comparison principle, the comprehensive benefits under three different operation modes are compared based on the model. Finally, the system scheduling optimization model is applied to a typical summer day in an industrial park. The simulation results show that the comprehensive benefits of the park are optimal in the state of grid-connected electricity sales.