Unified Power Quality Conditioner Based on Neural-Network Controller for Mitigation of Voltage and Current Source Harmonics

Abstract

Unified Power Quality Conditioner (UPQC) consists of series and shunt active filter sharing a common dc bus capacitor. The series active filter minimizes voltage source harmonics. The shunt active filter is designed to decrease harmonic current-components generated by the nonlinear loads. Thus with compensating effectively all harmonics and reactive power improves power factor. For optimal mitigation of voltage/current source harmonics, a neural network is proposed to control the UPQC. The artificial neural network (ANN) controller has been designed to extract fundamental frequency components from non-sinusoidal. Three multilayer perceptron neural networks are used to identify and reduce the harmonics. A back- propagation algorithm trains this network. Simulation carried out by Matlab/Simulink and results verify the efficiency of the proposed UPQC.