Optimal Distributed Generation Placement in Radial Distribution System Using Particle Swarm Optimization

This paper addresses losses of power in Radial Distribution Systems (RDS), which significantly affect voltage levels and operational costs. The main aim is to optimize the positioning and size of Distributed Generation (DG) units, including Photovoltaic (PV) cells, and Wind Turbines (WT), to analyze the effect of DG placement in reducing the losses in power and enhancing the voltage profiles in radial distribution system (IEEE 33 bus system). This research employs Particle Swarm Optimization (PSO), a robust algorithm well-suited for tackling non-linear optimization issues in order to identify the appropriate placement and size for DG units. A number of scenarios with varying numbers of DG units are simulated, indicating significant reductions in active as well as reactive power losses. Likewise, the consistency and reliability requirements of modern distribution systems are improved as the voltage profile is improved. The key findings demonstrate that optimal DG integration enhances system efficiency, contributes to operational cost savings, and improves grid stability. PSO was chosen for its ability to effectively balance computational effort while achieving high accuracy in minimizing the losses associated with power and enhancing voltage profiles. In contrast to traditional optimization techniques, PSO offers superior accuracy and efficiency in addressing the challenges of non-linear optimization in RDS.