In the future electricity market environment there will be many demands for economic optimal scheduling from different interested parties. Thus, based on the price-based demand response and the Stackelberg game, an economic optimization model is proposed to: maximize the economic benefits of the load aggregator; minimize the electricity costs of electric vehicles and air conditioners; maximize the economic benefits for the distributed generation operator. The Nash equilibrium can be achieved by optimizing the electricity price information released by the load aggregator, adjusting the respective electricity consumption strategies of electric vehicles and air conditioners, and changing the electricity sales strategies of the distributed generation operator. The simulation results show that the proposed model can optimize the economy of each subject, reduce the load peak valley difference and improve the utilization rate of renewable energy. This work is supported by the National Key Research and Development Program of China (No. 2017YFB0903400).