Optimal Allocation Strategy of Electro-Hydrogen Hybrid Energy Storage Capacity Based on Empirical Mode

With the continuous increase of the proportion of wind power access, the energy coordination capacity in the power system is weakened and the power quality is reduced. Based on this, this paper proposes a method to solve the problem of flattening energy fluctuations in the synergistic power system of electro-hydrogen hybrid energy storage, and uses the hybrid energy storage capacity optimization method composed of supercapacitor and PEM electrolyzer to solve the problem of optimal allocation of wind power fluctuations in grid-connected. Firstly, the structure model of hybrid energy storage system with supercapacitor is proposed, and on this basis, the original signal of wind power is decomposed by empirical mode method to obtain the low-frequency component directly connected to the grid and the high-frequency component that needs to be flattened by hybrid energy storage. Then, the high-frequency fluctuation of wind power in grid-connected is solved by optimizing the hybrid energy storage capacity with supercapacitors. Finally, based on the actual wind power data in Northeast China in 2022 as an example, combined with the example analysis in the MATLAB2018B + Gurobi solution environment, the effectiveness of the flattening strategy is verified by the example analysis, which provides an effective scheme for the flattening of wind power fluctuations, which can effectively improve the system economy.