Design optimization of a boost power factor correction converter using genetic algorithms

This paper presents a software tool for designing a low-cost boost power factor correction front-end converter with an input electromagnetic interference filter. A genetic algorithm based discrete optimizer is used to obtain the design. A detailed and experimentally validated model of the system, including second order effects, is considered. A graphical user interface for managing the design specifications and system component databases, controlling and monitoring the optimization process, and analyzing the performance of the top designs found by the optimizer is also described. The results of a design study for a 1.15 kW unit are presented to demonstrate the usefulness of the software tool.