Optimal Placement and Sizing of Distributed Generation Using Random Drift Particle Swarm Optimization

This paper presents the optimal placement and sizing of Distributed Generation (DG) using the Random Drift Particle Swarm Optimization (RDPSO) algorithm. The study focuses on minimizing power losses, thus improving profiles of the voltage and maintaining stability of the system. The proposed methodology combines analysis of power flow through the Backward Forward Sweep (BFS) approach with RDPSO to ascertain optimal DG configurations. The proposed strategy is tested on the IEEE 33-bus system. The results obtained have shown a significant improvement in voltage stability and a reduction of power losses. Simulations with one, two, and three DGs highlight the scalability and effectiveness of the approach. The study underscores the potential of RDPSO in optimising DG placement, providing a workable way to enhance the dependability and efficiency of contemporary distribution networks.