Analysis of Power Loss in Forward Converter Transformer Using a Novel Machine Learning Based Optimization Framework

High power and high voltage gains in Forward Converter significance are a foremost topic for wind switch mode supplies. However, due to the recent penetration of forward converter usage network wide range load, reliability loss problem becomes crucial one. Therefore, this paper projected novel Grey Wolf based Boosting Intelligent Frame (GWbBIF) control algorithm improving system since incorporation entire level. Consequently, transformer is optimized by fitness function. The implementation work has been done on MATLAB/Simulink. simulation outcomes proposed show that considered as significant aspects while estimating whole compared with conventional methods validating importance method.