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Adaptive power allocation strategy for hybrid energy storage system based on Hilbert-Huang transform

The hybrid energy storage system (HESS) consisting of batteries and supercapacitors can effectively smooth the fluctuation of wind farm output power. In this paper, the wind-energy storage system composed of wind power and hybrid energy storage equipment is taken as the research object, the moving average filtering algorithm is adopted to obtain the total power signal of energy storage at each time, in which the filtering time constant changes with the state of charge (SOC) of energy storage system. On the basis of frequency domain analysis of the total power signal of energy storage, the power tasks are allocated to two types of energy storage according to the signal frequency band. On the basis of considering the SOC of energy storage, fuzzy control is used to realize the adaptive allocation of power tasks among different energy storage medium, which improves the technical and economic performance of energy storage system. Finally, the simulation examples are given to prove the effectiveness of proposed strategy.