Power Quality Improvement using Artificial Neural Networks Controlled Dynamic Voltage Restorer

One of the significant worries in power industry today is power quality. It turns out to be particularly significant with the presentation of cutting edge and entangled gadgets, whose exhibition is delicate to the nature of intensity supply. The electronic gadgets are touchy to unsettling influences and in this way mechanical burdens become less tolerant to control quality issues, for example, voltage plunges, voltage hangs, voltage flashes, music and burden unbalance and so on. At present, a wide scope of entirely adaptable controllers, which profit by recently accessible force hardware segments, are developing for custom force applications. Among these, D-STATCOM, dynamic voltage restorer (DVR) and brought together force quality conditioner (UPQC) which depends on the VSC rule are utilized for power quality improvement. The primary point of my paper is to plan DVR which is utilized to remunerate voltage quality issues and Fuzzy Logic Controller and Artificial Neural Network (ANN) is utilized to control the inverter. The outcomes are contrasted and ordinary controller. The outcomes will be examined utilizing matlab/simulink programming.