Indirect Model Predictive Control of Flywheel Energy Storage System based on Matrix Converter

This paper investigates the indirect model predictive control of the matrix converter (MC)-driven permanent magnet synchronous motor (PMSM) for a flywheel energy storage system (FESS). There are 27 switch states in MC, which result in extensive computations for the model predictive control of MC. To address this issue, this paper proposes an indirect model predictive control that divides the control of MC into control of virtual rectification and inversion. In this way, the computational burden is significantly reduced. The proposed indirect model predictive control is used to control the stator currents of PMSM. The stator current references are generated according to the outer power control loop and the $i_{d=}0$ control strategy. Thus, the charging and discharging power of FESS can be effectively regulated. The MC input power factor is controlled at the same time. Simulation results verify the feasibility and effectiveness of the proposed indirect model predictive control in controlling the FESS.