A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation

Abstract

Dual active bridge (DAB) converters are becoming one of the most reliable interfaces due to their high voltage range, easy realization of zero voltage switching (ZVS), galvanic isolation, etc. To meet specific consumer requirements in DC microgrids, DAB converters operate with different topologies. In this paper, a finite control set model predictive control (FCS-MPC)-based power sharing control is proposed when DAB converters are in different structures which are input series-output series, input parallel-output parallel, input parallel-output series, and input parallel-output parallel connecting structures. By analyzing the power balance relationship of the input port and output port, it determines the variable (input voltage/current or output voltage/current) which should be controlled to realize the power sharing. And then the cost function is designed based on the control strategy. Besides, this paper proposes a Kalman filter based parameter estimation method for the DAB converter. In this case, it guarantees the robustness of the MPC algorithm. Finally, the simulation results prove the effectiveness of the proposed method.