Enhancement of Power Quality Using Dynamic Voltage Restorer with ANN Controller

Power Quality is an essential concern in the modern power system that affects consumers and services. The integration of renewable energy sources, smart grid systems, and the considerable use of power electronics equipment causes a myriad of problems in the current electric power system. It is possible for sensitive equipment to be damaged by harmonics, voltage sags, and swells. These devices are susceptible to input voltage variations created by interference with other parts of the system. Hence, in the modern age, with the development of conscious and expensive electronic equipment, power quality is essential for power system reliable and safe operation. Dynamic Voltage Restorer (DVR) is a potential Distribution Flexible AC Transmission System (D-FACTS) device widely adopted to surmount non-standard voltage, current, or frequency problems in the distribution grid. By injecting voltages into the distribution line, the voltage profile is maintained and a constant voltage is maintained on the load. The simulations were conducted in MATLAB/Simulink to show the DVR-based proposed strategy's effectiveness in smoothing the distorted voltage due to harmonics. In this project, Artificial Neural Network (ANN) controller is used to reduce the total harmonic distortion. It has been noted that the proposed DVR-based strategy effectively managed voltage distortion, and a smooth indemnified load voltage was accomplished. Index Terms—Dynamic voltage restorer (DVR), artificial neural networks (ANN), power quality, unit vector, voltage harmonics, voltage sag, voltage swells.