Abstract: 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.

Key words: power allocation, hybrid energy storage systems, Latin hypercube sampling, variational modal decomposition, multi-fuzzy control strategies