Paper Contents
Abstract
Voltage sag, a significant power quality problem in modern electrical distribution networks, disrupts sensitive equipment and affects overall system reliability. One of the most effective solutions to this issue is the deployment of a Dynamic Voltage Restorer (DVR), a custom power device that can compensate for voltage disturbances by injecting appropriate voltage at the point of common coupling. This research proposes an enhanced DVR system powered by a photovoltaic (PV) array and controlled using a Particle Swarm Optimization (PSO) algorithm. The novelty lies in the use of PSO to optimize the control parameters for real-time voltage compensation, ensuring quick response and adaptability during voltage sags. The proposed DVR topology includes a boost converter, an inverter, LC filters, and a series injection transformer. The PSO algorithm minimizes voltage error and optimizes the pulse width modulation (PWM) control strategy for the inverter. The system has been modeled and simulated in MATLABSimulink under various fault conditions including symmetrical and unsymmetrical faults. The results show that the PSO-controlled DVR significantly enhances voltage restoration time, maintains load voltage within permissible limits, and reduces Total Harmonic Distortion (THD), thus ensuring continuous and stable power delivery. This study confirms that integrating intelligent optimization algorithms like PSO into DVR systems can greatly improve their performance, especially in grids with renewable energy sources.Keywords: Dynamic Voltage Restorer (DVR), Voltage Sag, Particle Swarm Optimization (PSO), Power Quality, Photovoltaic (PV) System, MATLABSimulink, Series Injection Transformer, Voltage Compensation, PWM Control, Total Harmonic Distortion (THD).
Copyright
Copyright © 2025 PARKAVI V . This is an open access article distributed under the Creative Commons Attribution License.
