Deploying an energy storage system at the grid connection of a wind farm can improve the economics of grid connection and smooth the fluctuation of grid-connected power of wind power. However

optimizing the operation performance of the power grid by shifting the space-time characteristics of the power grid load is subjected to many factors such as the power

capacity

and energy status of the energy storage system. In order to solve the contradiction between the output and smoothing ability of the energy storage system. This paper introduces the output capacity index of energy storage battery

and designs a multi-objective optimization model to protect the energy storage battery and guarantee the power balance capacity of grid connection. Moreover

it proposes a model predictive control strategy based on fuzzy dynamic adjustment of the energy storage charge state

which can ensure the minimum level of energy storage as a whole

and improve the capacity of energy storage in the period of high charge/discharge area of partial energy storage. The method in this paper is compared with the conventional model prediction method. The results show that

under the same proportion of energy storage configuration

the strategy proposed in this paper can suppress the wind power fluctuation

and the comprehensive index is better than that of the conventional model prediction method. It not only optimizes the load power fluctuation

but also improves the power support ability of the energy storage system

and balances the contradiction between the energy storage output and the smoothing ability.