Design and control of bidirectional dual active bridge DC-DCconverter based on mayfly optimization

Today's technology is developing day by day to make our lives easier. One of the important areas where technological developments take place is the converters that can transfer power. Converters are frequently used in many important fields of activity such as electric vehicles, integration of renewable energy sources into the grid and energy storage systems. Since the bi-directional dual active bridge direct current converter is bidirectional due to its structure, it has advantages over other converters with similar content in many different areas such as the area it occupies, high power flow efficiency and reliability. Therefore, in this thesis, the basic working principle of the converter and studies on theoretical calculations have been carried out. As a result of the studies, in order to determine the best control method for the converter, a comparative evaluation has been made with the classical PI control and model predictive control with coefficients optimised fractional PI control and coefficients optimised classical PI control. The parameters to be used in the controllers were determined by the mayfly optimisation algorithm. Looking at the results, the lowest values for settling time and output voltage overshoot to reference are obtained with the optimised fractional PI controller. The design of the converter and the controller to be applied to the converter was carried out in MATLAB/Simulink environment.