Abstract
This paper presents the sizing of three phase transformer using four intelligentalgorithms namely geometric programming, genetic algorithm, simulated annealing,and particle swam optimization. Four independent objective functions and eightconstraints were used. The comparative analysis carried out on the results obtainedfrom these intelligent algorithms shows that all the outputs from the intelligentalgorithms are the same. The fastness of results shows that geometric programmingis the fastest, while genetic algorithm, simulated annealing, and particle swamoptimization followed in that order. The output results from the cost objective functionwere compared with the results obtained by Masood (2012) and it showed that moneywas saved in the following order, 6.4%, 16.32%, 10.63% and 16.79% respectively forgeometric programming, genetic algorithm, simulated annealing, and particle swamoptimization.
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.
