Journal of Jilin University (Information Science Edition) ›› 2023, Vol. 41 ›› Issue (3): 512-520.

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Capacity Allocation of Hybrid Energy Storage Based on Improved Sparrow Algorithm

WANG Guangyu, LIU Wei   

  1. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2022-05-02 Online:2023-06-08 Published:2023-06-14

Abstract: Aiming at the problem that the traditional distribution strategy has a difference in available capacity in the hybrid energy storage system, and the hybrid energy storage system will be out of service due to insufficient available capacity, a power distribution strategy using improved sparrow algorithm is proposed. The ratio of the effective storage capacity to the overall capacity in the system is the optimization objective. And the improved sparrow algorithm can better solve the power distribution problem between lithium batteries and super capacitors. Aiming at the characteristics of high power and low energy density of supercapacitors, and the problem of insufficient available capacity in practical work, a method using lithium-ion batteries to adjust the residual effective energy storage capacity of supercapacitors according to the transfer current is proposed. The controlled transfer current solution method ensures that the supercapacitor always maintains a certain effective energy storage capacity, thereby enhancing the continuous operation capability of the supercapacitor. Finally, the rapidity, stability and effectiveness of the strategy proposed are verified by simulation.

Key words: distributed photovoltaic power generation; , hybrid energy storage, capacity allocation; , improved sparrow algorithm; , fuzzy control

CLC Number: 

  • TP391. 9