Real-time grid parameters estimation for stability improvement of ultra-fast charging stations

Abstract - The increasing prevalence of Electric Vehicles (EVs) requiring Ultra-fast Charging (UFC) stations is posing significant challenges for the operation of the electric power system. The goal of this work is the analysis, comparison and simulation of state-of-the-art solutions for real-time identification of grid parameters. A comprehensive literature review is conducted to identify promising solutions, followed by the development and implementation of robust identification algorithms. The methods are evaluated in the PLECS simulation environment. A two level three-phase active front-end (AFE) AC/DC converter model is implemented for this purpose. Selected estimation methods are implemented to verify their effectiveness and reliability. A final comparison of the methods under different grid conditions determines the best approach for varying scenarios. The thesis activities are carried out in collaboration with the Prima Electro R&D department, leveraging their resources and expertise.