Model Predictive Control for Dual-Active-Bridge Converters in Stability Maintenance and Control of Power Transmission System

Abstract

This paper presents a new solution for improving the dynamic response performance of Power Transmission System for Wind Turbine. A center follows control set model predictive control (CFCS-MPC) of dual active bridge converter is proposed for stabilization and rapidly response between wind turbine and output loads, which features two validation steps. First to mitigate the computational burden with a reduced prediction horizon and variable step size control set selection; then to correct the potential deviation with compensation loop and improved cost function. The operating principle of the novel CFCS-MPC is introduced for developing the cost function, which plays a vital role in voltage regulating as well as resonance damping and sampling noise resistance. Comparisons with other control methods are also provided. The theory of the proposed method has been verified in MATLAB/Simulink and shows a good application prospects in improving the dynamic response performance.