ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
   Email: editor@ijesat.com , ijesatj@gmail.com,   

(Peer Reviewed, Referred & Indexed Journal)


    Adaptive Control Of AI-Based Decentralized Control For Microgrid EV Charging Stations With Distributed Energy Resources

    Raheeja Famy K, Dr. V. Gomathy

    Author

    ID: 4007

    DOI: Https://doi.org/10.64771/ijesat.2026.v26.i10.4007

    Abstract :

    The Electrical Vehicles Have Become The Research Focus For The Environment- Friendly Characteristics In Recent Years. As The Core Technology Of The EVs, The Battery Technology Influences The Development Of The EVs. The Desire For Electric Vehicles (EV) Is Rising As A Result Of Efforts To Reduce Fuel Consumption And Improve Air Quality. The Energy Storage System (ESS) And Converters In The Fast-Charging Station (FCS) With Source Of Renewable Energy Will Alleviate Grid Load And Reduce Carbon Emissions. The Hybrid Energy Storage System Can Increase The Life Span Of The Batteries By Improving Their Working Condition And How To Shorten The Charging Time Is Also Concerned. Two Technologies Are Used In This Project, One Is Artificial Neural Network (ANN) Method For Fast Charging Of Batteries And Another One Is Energy Storage Is Utilized To Maintain The Stability Of The System. The Simulation Outcome Demonstrates That The Proposed Solution Is Used For An Electric Vehicle To Charge.

    Published:

    28-10-2026

    Issue:

    Vol. 26 No. 10 (2026)


    Page Nos:

    160-167


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Raheeja Famy K, Dr. V. Gomathy, Adaptive control of AI-Based Decentralized Control For Microgrid EV Charging Stations With Distributed Energy Resources , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(10), Page 160-167, ISSN No: 2250-3676.

    DOI: https://doi.org/10.64771/ijesat.2026.v26.i10.4007