Authors : Basudeb Dey; Dr. Rituparna Mitra

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/3fhvxsdh

Scribd : https://tinyurl.com/4429r7u4

DOI : https://doi.org/10.38124/ijisrt/26apr316

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Abstract : The increasing incorporation of DERs (Distributed Energy Resources) in Radial Distribution Networks (RDNs) has raised power quality issues, especially voltage sag, swell, and harmonic distortion. The effectiveness of conventional voltage regulation equipment has been proven to be limited in addressing rapid and random voltage fluctuations in DERdominated systems. Although the Dynamic Voltage Restorer (DVR) has been proven to provide better performance in voltage regulation through better series compensation, its effectiveness is still limited by its energy storage and static control system capabilities. Although various researchers have explored and discussed DVR and BESS technology in isolation, there has been a lack of a coordinated and multi-objective framework. In this regard, this thesis has proposed an integrated framework of DVR and BESS (Battery Energy Storage System) for voltage stability improvement in radial distribution systems through the development of two metaheuristic optimization algorithms: Self-Adaptive Learning Osprey Optimization Algorithm and Hybrid Golden Jackal-Hippopotamus Algorithm. In addition, the Self-Adaptive Learning Osprey Optimization Algorithm (S-OOA) has been applied for real-time tuning of the proportional and integral parameters of the DVR through real-time simulations using MATLAB-Simulink on a 14-bus radial distribution feeder system, achieving voltage stability improvement on the load side and achieving voltage values of 0.95-1.05 per unit according to the IEEE 1159 standard within half a cycle. In addition, the power quality index was achieved at 0.95, outperforming other algorithms such as Coati, Crayfish, Pelican, and Osprey Optimization Algorithm. Furthermore, the effectiveness of the proposed system has been proven through comparative analysis of recent literature on voltage stability improvement and harmonic distortion mitigation. The proposed system has been proven to provide better performance in power quality management in modern power systems dominated by renewable energy sources and variability.

Keywords : Dynamic Voltage Restorer; Battery Energy Storage System; Radial Distribution Network; Metaheuristic Optimization; Power Quality.

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