Conférence : Learning and Technology Conference 2024, 14 janvier 2024
This study employs the Forward-Backward Sweep (FBS) method in conjunction with the Sea Horse Optimization (SHO) algorithm to optimize the sizing and placement of Distributed Generators (DGs) in a distribution network for the intended case study. Through the integration of MATPOWER toolbox in MATLAB and Torrit software, the network is systematically evaluated under four scenarios (Case 1 to Case 4), featuring different DG types (type 1, type 2, type 3, and type 4). Among these, Case 3, involving type 3 DGs, emerges as the most promising, showcasing remarkable reductions in both active and reactive power losses, coupled with a substantial improvement in power factor and voltage profile. The findings offer valuable insights for utility operators seeking optimal DG deployment strategies.