Extension p-q theory Based MPCC Strategy for Shunt Active Power Filter Operation Under Dynamic Loading Scenario

Abstract

The objective of this work is to present an extension pq (EPQ) theory-based reference generation for a shunt active power filter (SAPF) operation under a dynamic loading scenario. Further, the current tracking controller is realized using a model predictive controller (MPC). The MPC provides optimal switching commands for the SAPF operation while predicting the model dynamics of the SAPF for admissible switching states only. Thus, the EPQ theory for reference current generation and MPC for current tracking control simplifies the control strategy adopted for SAPF operation with effective improvement in current harmonics as compared to the conventional control strategies. The proposed simplified control strategy is verified and validated through the MATLAB/Simulink-based results under linear-balanced, -unbalanced, and nonlinear loading scenarios.