Transitioning to smart grids requires innovative technologies that enhance power distribution efficiency, resilience, and sustainability. This paper presents a comprehensive study of the power electronic smart transformer (PEST), a solid-state alternative to conventional transformers that enables real-time monitoring, bidirectional power flow, and the integration of renewable energy sources. The proposed power electronic smart transformer system features a modular, three-stage architecture with advanced control strategies optimized for grid stability, harmonic mitigation, and rapid dynamic response. Through MATLAB/Simulink simulations and experimental validation, the study demonstrates that the power electronic smart transformer achieves up to 99% efficiency, improves voltage stability by 30%, and keeps total harmonic distortion (THD) below 3%. Additionally, the system supports essential smart grid functionalities such as micro-grid islanding, Vehicle-to-Grid (V2G) interaction, and artificial intelligence-based predictive maintenance. This work bridges the gap between theoretical power electronic smart transformer models and practical deployment, providing a scalable solution for next-generation smart grids.
Kassem, R., & Saleeb, H. (2025). Design of a Multi-Objective Power Electronic Smart Transformer for Smart Grid Applications. Sohag Engineering Journal, 5(2), 126-140. doi: 10.21608/sej.2025.382468.1080
MLA
Rasha Kassem; Hedra Saleeb. "Design of a Multi-Objective Power Electronic Smart Transformer for Smart Grid Applications", Sohag Engineering Journal, 5, 2, 2025, 126-140. doi: 10.21608/sej.2025.382468.1080
HARVARD
Kassem, R., Saleeb, H. (2025). 'Design of a Multi-Objective Power Electronic Smart Transformer for Smart Grid Applications', Sohag Engineering Journal, 5(2), pp. 126-140. doi: 10.21608/sej.2025.382468.1080
VANCOUVER
Kassem, R., Saleeb, H. Design of a Multi-Objective Power Electronic Smart Transformer for Smart Grid Applications. Sohag Engineering Journal, 2025; 5(2): 126-140. doi: 10.21608/sej.2025.382468.1080