Design and optimization of a DC-DC converter for LEDs lighting applications

High power density and high efficiency are two main objectives of DC-DC power supplies, which allow us to develop converters operating with minimum power dissipation and low size. The inductors are important components, which significantly reduce the efficiency and increase the volume of power converters. In this study, we will focus only a trade-off between the power dissipation and the size of the inductors in order to optimize a 200W Single Ended Primary Inductor Converter (SEPIC) used in LEDs lighting applications. A multi-objective optimization procedure is applied in this work using the Non-dominated Sorting Genetic Algorithm (NSGA_II). The simulation results show that the inductors power losses and the weight are significantly minimized. The obtained results prove that the optimization method is suitable to improve the power converter efficiency.