In order to effectively utilize demand-side resources and renewable energy power generation, the virtual power plants can be defined as commercial virtual power plants and technical virtual power plants according to their different characteristics and then a bi-layer optimization model of virtual power plants combining the commercial layer and the technical layer is established on the basis. Among them, the upper-level commercial virtual power plant manages user loads with the goal of maximizing user-side benefits. Different types of controllable loads is optimized on the basis of the established time-of-use electricity price and the scheduling role of price-based and incentive-based demand response is comprehensively utilized. Meanwhile, the technology-based virtual power plant would manage the wind-photovoltaic-fuel-storage combined power system and the lower-level objective is minimizing the output cost of distributed power sources on the basis of satisfying the upper-level scheduling results. The proposed method takes into account the benefits for both demand side and power generation side simultaneously. Finally, the dispatching strategy of the virtual power plant is obtained by applying the CPLEX solver. The economic benefits of the virtual power plant in different scenarios are compared to verify the rationality of the established model.