Compensate Power Quality Related Problems by Mitigating Source Harmonics with Artificial Neural-Network controller

Abstract

 This paper deals with Unified Power Quality Conditioner (UPQC) which consists of series and shunt active filter sharing a common dc link capacitor. The series active filter reduces voltage source harmonics. Usually, the shunt active filter is designed to reduce harmonic current-components generated by the nonlinear loads. Thus with compensating effectively all the harmonics and reactive power improves power factor. The application of artificial intelligence is growing fast in the area of power electronics and power systems. The artificial neural network (ANN) is considered as a new device for the design of control circuitry for power-quality devices. Thus for optimal mitigation of voltage/current source harmonics, a neural network is proposed to control the UPQC. In this paper, ANN controller is designed for extracting the fundamental frequency components from non-sinusoidal and for controlling the current of the UPQC. An extensive simulation study has been carried out for investigating the performance of the ANN controller and the system performance has been verified by simulation analysis with Matlab/Simulink software.