In order to reduce the impact of fluctuation and intermittence of renewable energy generation on the power grid, a two-stage optimal dispatching strategy for wind-photovoltaic-coal-energy storage system considering virtual power plant and time-of-use electricity price is proposed. In the first stage, the output power of virtual power plant is decomposed by extreme-point symmetric modal decomposition, energy storage is used to stabilize the output power after decomposition, and the stabilized power is transmitted to the second stage as the output power of the virtual power plant. In the second stage, time-of-use electricity price is used to guide power users to reduce the power system load fluctuations, and chance constraints are used to solve spinning reserve capacity. An adaptive particle swarm optimization algorithm is proposed to solve the dispatching strategy. Taking a regional distribution network as an example, the results show that the fluctuation of the wind and photovoltaic output power and the economy of the system operation are improved obviously. The validity of the dispatching strategy is verified.