Optimization of Inductor Based on Genetic Algorithm for the Medium Voltage Cascade Converter with Active Front End

摘要

An optimization method based on genetic algorithm is proposed to design an optimal inductance value for the medium voltage cascade converter with Active Front End. Several aspects influencing the inductor option are firstly discussed, including the line current ripple, the dynamic response performance, the space requirements, and the efficiency. Then, according to the discussion, a nonlinear multi-objective mathematical model for the inductance optimization is presented. To validate the method advantages, some simulations are done in MATLAB/PLECS. Experiments are also tested in a prototype. The corresponding results demonstrate that the optimization reduces the inductance value, which not only meets the requirements, but also improves the device structural design.