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Research Article

Analysis and Comparison of the DC-DC converter with soft Computing algorithm

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  • @ARTICLE{10.4108/eetsis.4050,
        author={Agam Das Goswami and Shreyas R Hole},
        title={Analysis and Comparison of the DC-DC converter with soft Computing algorithm},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={2},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={10},
        keywords={DC-DC Converter, Soft Computation Algorithm, Power Generation Variables, Frequency, Inverter, Rectifier Circuits Parameter},
        doi={10.4108/eetsis.4050}
    }
    
  • Agam Das Goswami
    Shreyas R Hole
    Year: 2023
    Analysis and Comparison of the DC-DC converter with soft Computing algorithm
    SIS
    EAI
    DOI: 10.4108/eetsis.4050
Agam Das Goswami1,*, Shreyas R Hole1
  • 1: Vellore Institute of Technology University
*Contact email: agam.goswami@vitap.ac.in

Abstract

Due to technological discoveries in power generation or other power sources, DC-DC converters have developed more practical uses in electrical generation technologies (especially in DC micro grids). Separate the conversion components and generation of an optimized separate predictive algorithm may be achievable through model parameters. The primary goal of implementing an electronic parts converter for grid connection is to provide an amount of energy statistically and quantitatively satisfactory for the many applications at hand. Load frequency control electronics are divided into transistors, DC-to-DC converts, and rectifier diodes. The adapter from DC - DC is frequently used even among the many. The proposed technique can be applied to other parameter verification and improvement conditions, such as rectifier circuits, filter power supplies, etc.

Keywords
DC-DC Converter, Soft Computation Algorithm, Power Generation Variables, Frequency, Inverter, Rectifier Circuits Parameter
Received
2023-07-08
Accepted
2023-09-13
Published
2023-10-03
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.4050

Copyright © 2023 A. D Goswami et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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