Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
