Power Quality Optimization in Microgrids Using Genetic Algorithm and Reinforcement Learning

Abstract

In the micro grid (MG) system, the power quality enhancement is established using a new control algorithm in DSTATCOM device as presented in this paper. A micro grid is one of the best ways to solve the before mentioned problems. A MG is specified as a distributor cluster (DGs) and loads that provide heat and power in the region by a central controller. A new technique will mitigate issues like reactive power, harmonics, voltage sag, voltage swell. To resolve the above problems, calculation-based intelligence methods for intuitive energy quality reduction and transient solution problems have been found to be the most efficient. In the proposed system, the unbalanced voltage can be compensated through the voltage source inverter by using the control method of genetic algorithm-based reinforcement learning. The power quality issue