Modelling of DVR with Artificial Intelligence for Compensate the Voltage Sag, Swell and Flickers by Using SVPWM Switching Techniques in Distribution Lines

Abstract

In this research proposes FLC and Artificial Neural Network (ANN) based on Dyanamic Voltage Controller (DVR) along with d q o transformation for power qulity improvement in a distribution system. Design a 9levels CHMLI based on Custom Power device with SVPWM techniques. Distribution needs to protect against the harmonics such as sag, swell and flickers are affect on standard pure power supply at the end of the load. These power quality issues are minimised with voltage injection using DVR.The designed inveter to reduced the voltage switching losses and stresses of semiconductor devices. Here used single DC voltage source with a series connection of 4 capacitors for self balancing purpose, 3 diodes,output voltage levels and Cascaded H-bridge cell. the proposed 9 level CHMLI inverter citcuit to helps reducing the number of independent voltage dc sources and IGBTS. The harmonics are less in the output voltage proposed work (new topologies)compared to conventional topology. A comparision of FLC and ANN with THD and Power Factor results and study. It has been carried out to analyse through MATLAB / SIMULINK Software.