The high proportion of wind-photovoltaic power supply connected to microgrid system introduces more uncertain factors, which brings challenges to the optimal dispatching of power grid. In order to improve the economic and environmental performance of the system, rationally allocate the installed capacity of the wind and photovoltaic units, and promote the consumption of the wind-photovoltaic energy, this paper establishes a high-proportion clean energy microgrid model, defines the economic and environmental objective functions, proposes a multi-objective optimal scheduling strategy, and uses particle swarm optimization algorithm to solve the problem. The influence of clean energy permeability on the economic and technical characteristics of microgrid and the consumption rate of clean energy is explored through the analysis of examples. With the increase of the permeability of clean energy, the absorption rate generally shows a downward trend, and there is a critical permeability value. Increasing the permeability within the critical range can effectively improve the comprehensive operation efficiency of microgrid. The results show that the proposed scheduling strategy is correct and effective, the algorithm convergence is reliable, and it can provide an important reference for the rational allocation of the installed capacity of wind and photovoltaic units.