INTELLIGENT CONTROL OF FOUR-LEG DVR FOR VOLTAGE STABILITY IN GRID NETWORKS WITH ANN
Keywords:
Four-Leg Voltage Source Converter, Dynamic Voltage Restorer (DVR), Voltage Sag, Voltage Swell, Sliding Mode Controller (SMC), Artificial Neural Network (ANN) Controller.Abstract
This paper explores the simulation of a Dynamic Voltage Restorer (DVR) using a Four-Leg Voltage
Source Converter (VSC) with an Artificial Neural Network (ANN)-based control strategy. The Four-Leg VSC
includes an additional neutral leg, which enables the converter to manage unbalanced loads more efficiently by
providing a path for neutral current. Power quality issues, such as voltage sags and swells, frequently occur in
distribution systems due to unbalanced loads. To address these disturbances, a DVR equipped with a Four-Leg
VSC and ANN-based control topology is employed. The integration of ANN into the four-leg DVR allows for
dynamic adjustment of the DVR output, effectively mitigating voltage disturbances and achieving superior Total
Harmonic Distortion (THD) reduction compared to traditional Sliding Mode Controllers (SMC). The ANN
controller demonstrates enhanced capability in managing voltage distortions and improving power quality by
reducing THD. The performance of the proposed control scheme is validated under various operating
conditions using Matlab/Simulink software.
