The Radial Distribution System (RDS) delivers electricity to end-users, but increasing load demand raises resistance to reactance ratio (R/X), voltage drops, power losses, and lowered voltage stability. In the Bahir Dar distribution system (R2-G4 feeder), total power loss and voltage drops were observed within an amount of 550.2429kW and 0.927 pu at 67 bus respectively. To address these problems, distributed generations (DGs) were implemented by optimizing their size and location. Solar PV DGs were utilized to inject active power. The hybrid PSO-CS optimization technique determined the optimal size and location of the DGs. The load flow analysis was assessed through a Backward-Forward Sweep (BFS). MATLAB software was used to test this method on the R2-G4 feeder of the Bahir Dar distribution system. By considering constraints such as voltage profile, DG output limit, and branch current limit, the incorporation of DGs produced promising simulation results. Before incorporating distributed generation, the system experienced a total active power loss of 550.2429 kW, a minimum voltage profile of 0.927 Pu at bus 67, and a maximum voltage profile of 0.99589 Pu at bus 2. However, after installing optimal sized and placed distributed generation using the PSO-CS algorithm, significant improvements were observed. The total active power loss was reduced to 319.9021 kW, the minimum voltage magnitude at bus 67 increased to 0.94327, and the maximum voltage at bus 2 increased to 0.99658. Furthermore, the overall power losses decreased substantially by 41.862%. As a result, it was determined that the PSO-CS optimization technique achieved better results compared to the individual PSO and CS algorithms by identifying the optimal sizes and placements for DGs. Keywords: