APPLICATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS FOR ELECTRIC VEHICLE-CONNECTED POWER SYSTEMS TO CONTROL ELECTRICAL LOAD FREQUENCY
By
Gaurav Gupta1 , Saurabh Gupta2 and Deepak Gupta3
1Department of Electrical Engineering, Faculty of Engineering, University of Lucknow, Lucknow, Uttar Pradesh, India - 226021
2Department of Electrical and Electronics Engineering, Technocrats Institute of Technology and Science, Bhopal, Madhya Pradesh, India - 462021
3Department of Applied Science and Humanities, Faculty of Engineering, University of Lucknow, Lucknow, Uttar Pradesh, India - 226021
Email: gauravmits@gmail.com, saurabhgupta.sgsits@gmail.com, dg61279@gmail.com
(Received: July 10, 2025, In Format : September 23, 2025, Revised : March 14, 2026, Accepted: June 21, 2026)
DOI: https://doi.org/10.58250/jnanabha.2026.561P-12
Abstract
There are a few challenges confronting electric vehicle producers. This study looks at the influence of electrically powered vehicles on load frequency deviation. However, the load fluctuates throughout time and cannot be constant. Multiple remedies have been proposed in academic literature to tackle the deficiencies of traditional controllers. This study presents an innovative method for creating a multi-load frequency controller for a single-zone power system by utilizing various artificial intelligence (AI) optimization methods such as fuzzy logic and ANN tuners. Research on controllers has demonstrated enhancements in frequency offset signal, peak crossover, and frequency output signal resolution. The functionality of the suggested system is confirmed through the utilization of MATLAB/SIMULINK tools.
2020 Mathematical Sciences Classification: 93C05, 34A30
Keywords and Phrases: Artificial Intelligence (AI) , Electric Vehicles (EV ) , Fuzzy Logic Control (FLC) , Load Frequency Control (LFC).