Optimal Configuration of Energy Storage Systems in Virtual Power Plants Including Large-scale Distributed Wind Power

With energy shortages and environmental pollution becoming increasingly prominent, the power industry is inevitably facing enormous challenges. Distributed power supplies are reliable, flexible, economical and environmentally friendly, while they are widely distributed in number and have great volatility and randomness. The virtual power plant (VPP) helps to integrate a large amount of distributed energy in the smart grid, providing a proven solution to the above from a new perspective. Based on the virtual power plant with large-scale distributed wind power, this paper studies the optimal configuration model of energy storage system(ESS). According to economy, load shifting and safety norms in the energy storage system, the optimal objective function of the energy storage system is established. The model is solved by particle swarm optimization algorithm, and the feasibility of the proposed model is verified by an example. It is concluded that optimization result is affected by weight factors and to the three roles of energy storage system.