A Simplified Model Predictive Control for Shunt Active Power Filter Using Modified Instantaneous Power Theory under Polluted Grid Conditions

Abstract

This paper proposes a simplified finite control set model predictive control (FCS-MPC) strategy for a three-phase shunt active power filter (SAPF), which is based on a vector operation technique (VOT). In the conventional FCS-MPC, the optimal switching state is selected based on the evaluation and minimization of a cost function for all possible voltage vectors of the voltage source inverter (eight different vectors). The proposed FCS-MPC performs like a conventional FCS-MPC where the selection and evaluation of the possible voltage vectors are reduced by half (four vectors).  The reduction in the computational burden is evident. In this study, the modified version of the instantaneous power theory based on a high selectivity filter is used to extract reference current components which increase the selectivity and the dynamic performance of SAPF. Simulation results demonstrate the effectiveness and reliability of the SAPF with the proposed control strategy under polluted grid conditions.