Abstract: Because of the use of traditional fossil fuels, the global warming has intensified, and extreme climate events have occurred frequently, people have realized the urgent need for a cleaner and more efficient energy supply system. Based on this background, this paper studies the adjustment strategy of the micro grid system for combined cooling, heating and power supply considering the power sales transaction with the large grid, builds a simplified model of CCHP Microgrid including gas turbines, electric refrigerators, boilers, and wind and solar turbines, and establishes corresponding constraints, Taking the minimum operating cost and carbon dioxide emissions of the microgrid as the optimization objective, the hybrid particle swarm optimization sequential quadratic programming (PSO-SQP) algorithm is adopted, and the demand side response based on the time-sharing price is considered. The load side regulation is guided by the price change to reduce the integrated operating cost of the microgrid. The multi-objective solution of the model is to solve the Pareto optimal solution set, and then the proposed optimal dispatching strategy is simulated and verified through an example, The results show that the dispatching strategy can effectively optimize the cost of microgrid, and can play a role in peak load reduction and valley filling.