Finite-Set Model Predictive Control and p-q Theory Applied on Shunt Active Filter in an Off-Grid Microgeneration System

This paper deals with a finite-set model predictive control applied to a shunt active power filter. The instantaneous power theory is used to generate the compensation signals and reduce the execution time of the algorithm, which allows increasing the sampling frequency used since this is a critical condition for the type of controller considered. The model predictive control presents good transient response and tracking of high-frequency reference signals. This enables the proposed control algorithm to drive a shunt active filter in a three-phase four-wire off-grid microgeneration system under nonlinear loads. Simulation results demonstrate the effectiveness and good performance obtained with the proposed strategy.