Power Quality Improvement Based On Artificial Neural Network Controller and Dynamic Voltage Restorer

For voltage sag compensation, an effective device used for gaining acceptance is dynamic voltage restorer. Depending upon the high voltage injection and the amount of energy stored in the restorer, the compensation capability of a dynamic voltage restorer (DVR) will occur. In the distribution system, phenomenon that mainly occurs is the voltage sag, which minimizes the RMS voltage for a short stretch of time. In order to compensate the voltage sag, a power electronic device that is DVR is utilized to inoculate a $3\ \phi$ voltage in series and to synchronise with the distribution feeder voltage. Here the working of DVR is explained. The control methods employed for compensation of sag, swell, harmonics by power circuit of DVR is explained and verified by using simulation. In the distribution system, power quality disturbance is the main concern, which develops tripping and malfunctions in sensitive equipment. The main power quality problems can be cleared by inoculating the real and reactive power to the point of connection (PCC) by DVR. In order to improve the efficiency of the distribution system, the remuneration of voltage sag and swell issues and the elimination of power factor issues and harmonics by DVR are explained in this study and it is done with and without ANN. During power quality events, it is found that, the obtained output in both the cases is the proposed system that readily find the harmonics and eliminates the power quality problems by inoculating the real/reactive power with no/less distortions than traditional system.