Objective Aiming at the current problems of insufficient efficiency of resource synergistic optimization and poor operation economy and environmental protection of microgrid in the integrated energy system a microgrid optimization scheduling method was proposed to take into account the wind power storage and instability factors. Methods Based on the influence of microgrid load-side demand response on new energy consumption this method proposed a scheme to optimize the load curve to absorb new energy shave peaks and fill valleys. Then considering the instability of the wind power output on the dispatch side of the microgrid and the coupling of the equipment inside the microgrid the optimal scheduling was performed to reduce the microgrid operation cost reduce the environmental penalty cost and improve the smoothness of wind power consumption. Finally the chaotic multi-objective particle swarm algorithm was used to solve the optimization problem and the simulation analysis was carried out at 0% 5% 10% and 15% of wind power instability.Results When the wind power instability was 10% and the wind power storage was added the system operation cost and environmental management cost were the least which was RMB 6 919. 4 less than that of Option 1 and no wind power storage and the wind power smoothing amount was also improved by 38 kWh. In the electric heating and cooling network after the demand response was added on the load side the system was running stably and the energy was rationally utilized which can well meet the energy demand of the load side. From the comparison of algorithms the chaotic multiobjective particle swarm algorithm has strong global search capability and better accuracy after adding adaptive weights and variation rate. Conclusion The experimental conclusion shows that the proposed method can effectively reduce the operating cost and environmental penalty cost and improve the stability of wind power by reasonably setting the wind power instability degree. Moreover the demand response on the load side can cut the peak and fill the valley to a certain extent and consume new energy.