The compressed air energy storage(CAES) technology is an efficient and green large-scale energy storage technology

which has been widely used in the field of renewable energy and power grid peaking. In order to improve the energy storage efficiency of the compressed air energy storage system

the thermodynamic model of the system was established and the influence of the system operating parameters on the system performance was studied. Moreover

an improved particle swarm optimization algorithm was applied to optimize several operating parameters. The results show that

with the increase of the minimum pressure in the air storage chamber

the energy storage efficiency increases firstly and then decreases. The energy storage efficiency will reduce when increasing the amplitude of gas pressure rise and the convective heat transfer coefficient. Through the improved particle swarm optimization algorithm

the energy storage efficiency can reach up to 0.699 45

and the optimization algorithm has well global convergence and high accuracy.