Power quality enhancement in microgrid with dstatcom using modified reinforcement learning algorithm

Abstract

To enhance the power quality issue in grid system a new strategy with modification in algorithm is presented as reinforcement learning. A new technique will mitigate issues like reactive power, harmonics, voltage sag, voltage swell. A system as a current controller to enhance the current issue and the voltage controller to enhance the power quality issues in voltage. Due to an issue of unbalanced load in the grid the weak AC supply can be compensated by using the modified reinforcement learning algorithm. During the occurrence of the power quality issue in the grid modified reinforcement learning algorithm is proposed due to quick response.