Mitigation of Current Harmonic Using Adaptive Neural Network with Active Power Line Conditioner

Abstract

This paper deals with special active power line conditioner (APLC), which is based, the same as UPQC, on integration of series and shunt power converters sharing a common DC link. In this paper the main purpose of the shunt inverter is to compensate the reactive power and current harmonics caused by nonlinear load. In addition, a simple structure feed forward neural network is presented for the separate of harmonic current components in nonlinear current load. It is known that loss reduction can be proposed in the parallel paths and also parallel transformers too. The aim of series power converter of APLC is to control power flow in order to reduce losses of distribution system, suggested APLC not only performs the functions of UPQC but also can effectively reduce power losses in parallel paths. Simulation results, carried out by PSCAD/EMTDC, show that the proposed strategy using adaptive neural network can effectively reduce power losses and eliminate harmonic currents for sensitive nonlinear loads