The Optimization of Power Electronic Transformers Using Mathematical Model

This research addresses the critical challenge of mitigating power quality issues, specifically voltage sags and swells, in modern smart power systems, where conventional low-frequency transformers (LFTs) prove inadequate due to their static nature and inherent limitations. To overcome this, the objective of this study is to develop and validate a mathematical model for the optimization of Power Electronic Transformers (PETs), which offer superior dynamic control and efficiency. The methodology involves formulating a novel mathematical model for PETs, incorporating the impact of wide-band semiconductor switching frequency on power transfer capability, and rigorously validating this model through detailed simulations using MATLAB and C++ algorithms. The simulation results consistently demonstrate the model's effectiveness in optimizing PET operational efficiency, significantly enhancing voltage regulation, improving overall system stability and reliability, and minimizing energy losses. Ultimately, this work highlights the substantial potential of the developed optimized PET model to improve power quality and performance in modern energy systems, presenting a focused contribution to the field through its integrated approach to mathematical modeling and practical application in smart grid contexts.