This study aims to identify optimal locations for Photovoltaic Generators (PVG), within Energy Distribution Systems (EDS) to minimize energy losses. The problem is treated as a combinatorial optimization challenge. The optimal locations are determined using meta- heuristics, namely the Differential Evolutionary Algorithm (DEA), Generic Algorithm (GA), Particle Swarm Optimization (PSO), and Tabu Search (TS). The primary goal was to assess the efficacy of these methods in addressing the proposed optimization problem and to conduct a comparative analysis. The performance evaluations were carried out using the IEEE 123 bus test system. Power flow calculations were performed using OpenDSS, while Matlab ® was utilized for programming the optimization methods. All four methods demonstrated efficiency by providing solutions that indicated a reduction in energy losses. Notably, the GA and TS stood out, exhibiting the best reduction averages and the lowest standard deviations.
