Abstract:
This study optimizes Distributed Generator (DG) placement and sizing in regional distribution networks using the Sea Horse Optimization (SHO) algorithm and the Backward Forward Sweep Method (BFSM). Four distinct situations, each with a different type of DG, are used to systematically analyze the network using the Torrit software and the MATPOWER toolkit in MATLAB. The main goal is to find the ideal power factor for the deployment of distributed generation (DG), with an emphasis on active and reactive power injection and absorption. The results show notable improvements in voltage profiles and considerable reductions in power losses across a range of deployment scenarios. In addition, the study investigates how various DG types interact with one another to improve overall network efficiency. An extensive analysis comparing IESCO regional distribution networks to IEEE 33-bus and 69-bus systems confirms the efficacy of the suggested techniques. In addition, the study compares the outcomes of the SHO algorithm with those of the Artificial Bee Colony (ABC) algorithm to ascertain which method is more accurate. In summary, this research offers utility operators useful information by proposing methods to boost power system efficiency, boost dependability, and refine power distribution management decision-making procedures. KEYWORDS: Distributed generation (DG) Backward Forward Sweep Method (BFSM) analysis Optimal sizing and placement of DGs Voltage Loss Power Factor Sea Horse Optimization (SHO).
