Application of genetic algorithm for the improved performance of boost converters

DC-DC Boost converters play a major role in DC-DC and DC-AC conversion applications like electric vehicle, integration of photovoltaic (PV) and distributed energy resources into the grid. When these converters operate they might introduce electromagnetic interference (EMI) and harmonics into the system. In order to avoid this, passive filters are prominently used. The methodology proposed here makes use of evolutionary computing algorithm in order to generate an optimized filter design for a boost converter. The proposed generic filter design procedure involves three steps, first selecting a suitable filter, second identifying the transfer functions involved, and finally using evolutionary algorithms to optimize the selected filter design. This methodology was implemented for LC filter design for a DC-DC boost converter using genetic algorithm.