A Single-Phase Shunt Active Power Filter for Current Harmonic Compensation by Adaptive Neural Filtering

Abstract

This paper presents a single-phase shunt active power filter for current harmonic compensation based on neural filtering. The shunt active filter, realized by a current controlled inverter, has been used to compensate a nonlinear current load by receiving its reference from a neural adaptive notch filter. This is a recursive notch filter for the fundamental grid frequency (50 Hz) and is based on the use of a linear adaptive neuron (ADALINE). In this way the inverter creates a current equal in amplitude and opposite in sign to the load harmonic current, thus creating an almost sinusoidal grid current. The methodology has been applied in numerical simulations and experimentally on a properly devised test setup. With this regard, a reduced scale electrical grid has been built and used for assessing this methodology.