Abstract: Multiple provinces require wind power to be coupled with energy storage, and the high cost of energy storage stations limits their own development and that of the new energy industry. To reduce the total energy storage capacity and lower costs by configuring large-scale energy storage stations intensively for multiple wind farms in the same region, a centralized energy storage station capacity optimization configuration method is proposed, which takes into account the relevant characteristics of multiple wind farms. Firstly, based on the Vine Copula theory, a joint distribution model of the actual and predicted output of multiple wind farms is established.Secondly, a dimensionality reduction scenario generation method is used to generate massive joint output scenarios of multiple wind farms, and typical scenarios are selected by clustering. Then, the typical scenario sequence is imported into the energy storage system constraint model, taking into account tracking plan processing penalties and over-voltage penalties, to optimize the capacity of the energy storage station. Finally, an example analysis is carried out using the measured data from two adjacent wind farms in Central China, achieving centralized energy storage with a fixed capacity for multiple wind farms. The results show that under the conditions of meeting the requirements of the power system, this method can effectively reduce the total configuration capacity of energy storage stations and improve the lifecycle economics of the wind-energy storage system.