An optimization model of day-ahead scheduling for micro-grid with wind-PV-ES complementary system is proposed to improve the absorptive capacity and power supply reliability of wind power and photovoltaic and the economy of multi energy complementary micro network system. The objective function of the model include the operating cost of the energy storage battery, the cost of the system abandoning the wind and light, the cost of cutting the load and the cost of purchasing electricity from the higher power grid, at the same time, considering the carbon emission from the higher power grid, the carbon emission cost model is established, and the cost of the carbon emission is included in the objective function of the model. Constraints of energy storage battery, power balance and switching limit with upper power grid are considered in the model as well. Particle Swarm Optimization (PSO) algorithm is used to solve the model. The result shows that the model can fully consider the environmental factors of carbon emission and the actual operating characteristics of the system; by adjusting the switching power between the system and the upper power grid and the charging and discharging power of the storage battery, the system can realize the minimum operating cost and reduce the discarding of the wind and light, as well as the cutting load of the system. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 524625170015) “Research on Renewable Renewable Comprehensive Development and Utilization Technique of Multi-format Ecology Development Zone”.