Design and Optimization of PMSM for Compressed Air Energy Storage Based on Mop Model

The torque ripple of the motor for compressed air energy storage will have a certain impact on the stability and safety of the operation of the compressed air energy storage system. In order to reduce the torque ripple of the motor for compressed air energy storage and improve the operation efficiency of the motor, an optimization method based on Mop model is proposed. A permanent magnet motor scheme for 1 MW/1500 rpm compressed air energy storage is designed, and the influencing factors of torque ripple are analyzed. On this basis, the key structural parameters of the permanent magnet motor are taken as the optimization variables, the torque ripple is the optimization objective, and other performance is the constraint condition. The DOE method is used to analyze the sensitivity of the optimization variables and the optimization objectives, and the Mop model is established and its quality is evaluated. The particle swarm optimization algorithm is used to optimize the model. Finally, the optimized scheme is simulated by finite element method. The results verify the accuracy of the Mop model and the effectiveness of the optimization results.