Junaid, MuhammadWaqar, AsadMian Qaisar, Saeed2024-04-092024-04-092024-03-21https://doi.org/10.1109/LT60077.2024.10468687http://hdl.handle.net/20.500.14131/1538This work is supported by the Effat University under the grant number (UC#9/12June2023/7.1-21(4)7)The present investigation utilizes the Forward-Backward Sweep (FBS) technique in combination with the Sea Horse Optimization (SHO) algorithm to maximize the distribution network's capacity and arrange Distributed Generators (DGs) according to their intended use case. Through the use of Torrit software and the integration of MATPOWER toolbox in MATLAB, the network is methodically assessed under four scenarios (Case A to Case D), featuring four DG types (type 1, type 2, type 3, and type 4). The most promising of them is Case C, which uses type 3 DGs and shows impressive reductions in reactive and active power loss along with a significant increase in power factor and voltage profile. The conclusions provide utility operators looking for the best DG deployment tactics with insightful information.Distributed Generators (DGs)Loss reductionOptimal locationOptimal sizeSubstation Power FactorSea Horse Optimization (SHO)ENERGY