Enhancing Distribution Network Efficiency and Symmetry via Optimal Sizing and location of Photovoltaic DG Using PSO

Abstract

With the growing incorporation of DGs into distribution network, their role in mitigating power losses, stabilizing voltage levels, and enhancing power supply reliability is increasingly recognized. This work focuses on employing a PSO algorithm, adapted to manage random constraints, for optimal sizing and placement of photovoltaic-DG (PVDG) to minimalize phase asymmetries within the grid. The anticipated outcome is an effective and reliable solution aimed at enhancing overall system performance. The DG sizing and placement strategy aim to minimalize losses, maximize cost-effectiveness, and endorse voltage symmetry. The efficacy of the proposed model is assessed on an IEEE 33-bus radial distribution network using MATLAB, under both PVDG-enabled and conventional conditions, yielding promising simulation results. The PSO-based PVDG model demonstrates superior performance in reducing active power losses compared to alternative algorithms like the teaching learning artificial bee colony achieving reductions of 17.60%. Additionally, it significantly diminishes reactive power losses by 23.16% compared to TLABC. Furthermore, the proposed model exhibits cost savings of 15.21% more than TLABC. Notably, it enhances the voltage profile of the power distribution system by 3.48%.