ANN Based Active Power Filter to Reduce Harmonics in a Micro Grid

Now a day's Renewable energy generation system being the emerging new revolution in generating department, but to interface it with the Grid we required high power static PWM converters which are one of the cause for disturbance in power quality in our system. So, In this paper we are proposing a new control technique which is based on artificial neural network theory used in active power filter by using this the renewable sources are not only synchronized with the grid but also improves power quality by compensating the current harmonics and unbalanced current generated by sudden disturbance in load. The topology which is used for active power filter is four-leg voltage source converter. The ANN controller is not only improves the power quality; it also improves the total harmonic distortion in current by suppressing the harmonics. The mathematical modeling of the proposed system is explained in the paper. The active power filter is simulated with two control technique such as PI controller and ANN controller. The simulation results and the tabular form show the superiority of ANN controller over PI controller. The proposed circuit is tested under different operating condition through simulation in MATLAB/ SIMULINK and the results shows the potency of the system.