To enhance the stability and economic efficiency of power distribution systems with high penetration of renewable energy sources, this paper proposes an optimization model for active distribution network scheduling based on Stackelberg game theory. By utilizing the Stackelberg relationship between the active distribution network and the load aggregator (LA), a day-ahead game model is established to achieve peak shaving and valley filling in the distribution network while considering the economic interests of both master and slave. The feasibility of the proposed model is verified through case study analysis.