Rapid population expansion creates an ongoing spike in electricity consumption, necessitating the use of distributed generation (DG) as a viable alternative. Integrating DG into power networks provides several benefits, such as increased dependability, lower line losses, and improved grid resilience. However, in order to realize these benefits, DG units must be carefully placed across the network. This research provides a thorough examination of optimal DG placement in power systems using genetic algorithms (GA), which are well-known for their adaptability and efficacy in addressing complicated optimization challenges. The appropriateness of GA stems from its ability to discover optimal sites that achieve specified goals, such as improving voltage profiles and lowering power loss. The paper uses backward–forward sweep load flow analysis and GA implementation on IEEE 33-bus and 69-bus radial distribution systems. The study successfully identified optimal DG placement strategies using GA on IEEE 33-bus and 69-bus radial distribution systems, enhancing voltage profiles and minimizing power loss.