Neural network control for power quality enhancement using dynamic voltage restorer

Quality of power is decreasing day by day by use of semiconductor devices. Lack of power quality causes disturbance in the system. Power quality mainly depends upon quality of voltage. Sag, Swell and harmonics are main factor of voltage quality. Dynamic voltage restoration is a process and instrument necessity to maintain, or restore and also compensate functional electric load during disturbance in voltage supply like voltage sag, swell and harmonics. DVR is the most reliable custom power device that can protect sensitive load and it can be entirely resolve the power quality problem in distribution power generation. This paper describe the DVR system used to compensate the temporary voltage sags and harmonics, which last form 3s to 1min. the design and control methods of inverter have been maintain and substantiate MATLAB simulation model. Also in this model, neural network control system and PWM pulse is used.