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.

Normalised adaptive linear element‐based control of single‐phase self excited induction generator feeding fluctuating loads

“…It also de-grades the quality of reference source current estimated by these control algorithms during dynamic loading conditions. The LMS-based adaline control of an active power filter for harmonics mitigation in three-phase grid connected systems is reported in the literature [6][7][8][9]. The conventional LMS adaline-based control algorithm is successfully implemented for load compensation of a diesel generator-based three-phase standalone synchronous generating systems [10].…”

“…A normalised adaline-based control (NABC) algorithm is used to extract fundamental active power component of the load current and a proportional-integral (PI) controller is used to maintain dc-link voltage of a VSC at a reference level. In the proposed control algorithm, the convergence constant (or adaption constant) is a dimensionless, whereas in earlier proposed LMS-based control algorithm [6,[8][9][10][11] it has the dimensioning of an inverse power. Therefore the data dependent and time varying adaption step size makes the proposed control algorithm suitable for intermittent duty and fluctuating loads.…”