Impact Assessment of Multiple PV-DG & DSTATCOM Allocation in Reconfigured RDN using a novel hybrid Approach

The integration of renewable energy sources in modern distribution system necessitates intelligent optimization strategies to ensure operational efficiency, voltage stability and power quality. This article presents an assessment study to determine the impact of optimal allocation of multiple photovoltaic distributed generation (PV-DG) and DSTATCOM in a reconfigured radial power distribution network. To determine ideal feeder reconfigured network and multiple PVDG & DSTATCOM unit allocation under deterministic load conditions, a novel hybrid Marine Predator-Jellyfish Search optimization algorithm (MPJSA) is suggested. The method maximizes the net economic gain from enhanced voltage regulation and loss reductions while minimizing real power losses and voltage variations. Here, results of IEEE 118-bus radial distribution network under various constraints are used to validate the methodology after comparing it with the published results. The analysis clearly reflects that coordinated optimization greatly enhances the voltage profile and reduces active power losses with improvement in technical performance and financial gains. The study offers an economical method for raising operational profitability and distribution network efficiency.