Predictive Control of Active Filtering for Industrial Mining Installations

Industrial installations require high reliability and performance, especially when the power system has a low short-circuit level and non-linear loads injecting harmonics which can generate electromagnetic interferences EMC/EMI threatening functionality and safety related with control and protection systems. Conventional passive harmonic filters compensate reactive power, and reduce parallel resonances for steady operation of nonlinear loads, but they are not effective enough when the loads have nonlinear nature with strong dynamical fluctuations. This paper presents the simulation and analysis of a predictive control method of an Active Filter. The method uses a discrete-time model of the system to predict the future value of a filtering current for all possible switching alternatives offered by the inverter, the switching combination which minimizes a quality function is selected. The quality function used in this work evaluates the current error in the next sampling time.