Because of the problem of wind power grid connection， and comprehensively considering the grid-connected power error， period power fluctuation， and battery state of charge， this paper proposes a multi-objective optimal control strategy for the battery energy storage to compensate for the generation plan curve error and stabilize the wind power fluctuation. Firstly， by analyzing the characteristics of the wind storage combined system， an evaluation system with multiple evaluation indexes is established， and a multi-objective optimal control model of the output of the battery energy storage is constructed. Then， combined with the NSGA-Ⅱ algorithm and fuzzy comprehensive evaluation， the multi-objective optimal control model is solved and decided， and the output power command of the battery energy storage system is optimized in real-time. Finally， based on the measured power generation data of a wind power station， the comparative simulation verifies that the proposed multi-objective optimal control strategy can effectively improve the ability to track the power generation plan curve and reduce the frequent fluctuation of wind power and improve the service life of the energy storage battery by optimizing the active output and charge state of the battery energy storage system.