对风电出力的不确定性引起的并网电能质量不佳以及混合储能系统功率分配不佳，提出了一种基于变分模态分解—多模糊控制的风电混储系统功率分配策略。首先考虑到风电出力的不确定性，采用拉丁超立方抽样和欧氏距离法生成风电典型场景。其次，采用正余弦算法优化的变分模态分解对风电功率进行初次分配，得到低于并网波动上限的风电并网功率和混合储能系统平抑功率。最后，针对混合储能系统的荷电状态进行分区划分，综合考虑系统荷电状态以及混合储能特性，提出一种多模糊控制下的功率再分配策略，实现对混合储能系统功率的修正。仿真结果表明，所提策略能够平抑风电波动并能得到稳定并网功率，同时能有效解决混合储能系统的过充过放问题。

A power allocation strategy based on variational modal decomposition-multifuzzy control for wind power hybrid storage system is proposed to address the poor grid-connected power quality caused by the uncertainty of wind power output and the poor power allocation of hybrid storage system. Firstly, considering the uncertainty of wind power output, Latin hypercubic sampling and Euclidean distance method are used to generate a typical scenario of wind power. Secondly, the variational modal decomposition optimised by the positive cosine algorithm is used for the initial allocation of wind power to obtain the grid-connected power of wind power that is lower than the upper limit of the grid-connected fluctuation and the levelling power of the hybrid energy storage system. Finally, the load state of the hybrid energy storage system is partitioned, and a power redistribution strategy under multi-fuzzy control is proposed to achieve the correction of the power of the hybrid energy storage system by considering the system load state and the characteristics of the hybrid energy storage. Simulation results show that the proposed strategy can suppress wind power fluctuations and obtain stable grid-connected power, and at the same time, it can effectively solve the overcharging and over-discharging problems of the hybrid energy storage system.