Efficient power system operation through fuzzy and PSO algorithm for power loss reductions and voltage profile improvement by optimal placement of D-STATCOM

Abstract

This research aims to enhance voltage profiles and minimize power losses. in power systems through the strategic use of Distribution Static Compensators (DSTATCOM). Fuzzy Logic and Particle Swarm Optimization (PSO) work in concert to enhance the optimization process. Using a thorough testing framework, the paper assesses the suggested methodology on two different power system models, comprising 33 and 69 buses. Normal operating conditions and variations at 125%, 150%, and 175% of the nominal load are included in the testing scenarios. This rigorous testing regimen offers a comprehensive evaluation of the algorithm's performance and robustness under various operating scenarios. The purpose of placing the DSTATCOM devices strategically inside the electrical grid is to decrease power losses and enhance system voltage profiles. Uncertain. While the PSO algorithm maximizes the effectiveness of DSTATCOM unit placement, logic is used to tackle the inherent uncertainties and imprecisions in the power system. Under varied load conditions, this work demonstrates a major improvement in voltage profiles and a large reduction in power losses.