Abstract: The virtual energy storage plant is an effective means to realize the integration of large-scale distributed energy storage.A distributed control framework coordinating energy storage units at the end-user side is proposed. The framework enables the virtual energy storage plant to meet the real-time power request of power grid operators, and provides local voltage support to the distribution network in the meanwhile to effectively participate in the ancillary services of the power system. The proposed control method is based on the distributed optimization method. A dual consensus alternating direction method of multipliers（ADMM） is employed, which yields a fully distributed solution to the proposed model predictive control（MPC） problem and can be used to rapidly coordinate distributed energy storage to mitigate the impacts of renewable energy output fluctuation on power grids. The simulation studies based on the IEEE 33-bus system and 119-bus system demonstrate the effectiveness of virtual energy storage plants and distributed MPC strategy.