Modeling and Simulation of Multi Layer Feed Forward Neural Network Controller Based Dynamic Voltage Restorer for Voltage Sag Mitigation

Voltage Sag/Swell are the most important Power quality issues which occur due to the utilization of increased number of sophisticated loads in Industrial and Electrical distribution system. Now-adays Industrial loads are generally based on Power electronic devices which are very sensitive to voltage disturbances. Hence it is mandatory to provide high quality power supply since; failures due to these power quality issues have adverse effect on production time and cost. The Dynamic Voltage Restorer (DVR) is most important Custom Power Device (CPD), with its effective and reliable dynamic capabilities, when connected in between load end and source end, can compensate for voltage sag and hence maintaining the line voltage to its nominal value. This paper depicts the modelling and simulation of DVR with Neural Network controller to mitigate the voltage sag in industrial and electrical distribution system. The proposed controller provides optimal mitigation of voltage sag. Simulation is performed using MATLAB/Simulink; to demonstrate that DVR maintains the load voltage level to the nominal value by injecting a suitable voltage level during the occurrence of voltage sag.