Economic Dispatch of A Virtual Power Plant with Wind-photovoltaic-storage Considering Demand Response

With the goal of maximizing economic benefits, the forecast of new energy output and load output in the next 24 hours is carried out, and five dispatching schemes with different combinations of wind, solar, energy storage and demand response are discussed, taking into account the changes in electricity prices on the power grid side at different times. By using particle swarm arithmetic to compare the load coefficient and resident comfort under different dispatching schemes, the power supply composition map and power supply cost under various conditions are obtained, and the calculation results show that both wind, solar storage and demand response participate in the economic dispatch of virtual power plants, which has more obvious effects in reducing the operating costs of virtual power plants, and plays a good role in peak shaving and valley filling.