Optimization based Variable Learning Factor Least Mean Square Algorithm to Control DVR in Infected Grid Systems

In this paper, a variable learning rate least mean square control algorithm has been proposed to control Dynamic Voltage Restorer for compensating the disturbances present in the supply source side of a distribution network. The proposed control algorithm is equipped with an optimization algorithm based on Slime Mould for the tuning of PI controller gains. The topology of the Dynamic Voltage Restorer presented in this paper is a voltage source converter with capacitor as an energy storage device that is utilized for the compensation of four various disturbances in the supply voltage viz. voltage sag, voltage swell, unbalance, and voltage distortions. System performance has been validated via simulation using MATLAB/Simulink.