Hybrid optimization of dual-port converter for electric vehicles

Vidhya Kuruvilla, Immanuel Selvakumar, Pandiyan Venkatesh Kumar

Abstract


Vehicle-to-grid (V2G) technology, which cuts peak loads, levels load, and modulates voltages but generates power system instability, accelerated by the growing popularity of electric-powered vehicles. This research suggests a unique three-level full-bridge non-isolated buck-boost bidirectional direct current (DC)-DC converter that integrates solar (photovoltaic (PV)) systems, vehicle batteries, and the power grid to charge plug-in electric vehicles (EVs). This converter is combined with hybrid Tasmanian-hawk optimization (HTHO). By enabling EV batteries to be charged concurrently from PV systems and the grid, the converter improves charging flexibility and efficiency. The exploration and exploitation phases of HTHO, a new method that combines elements of the Harris hawks and Tasmanian devil algorithms for optimization. Using a 69-node test system, the suggested methodology, which is implemented in MATLAB/Simulink, evaluates power quality improvements in controlled and bidirectional charging operations. At a total harmonic distortion (THD) value of 1.768%, which indicates minimal harmonic distortion in the signal and exceeds conventional optimization techniques, the suggested converter, which integrates with HTHO, enhances charging flexibility and efficiency and helps to preserve overall power system stability. The research strengthens EV charging infrastructure through the seamless integration of natural renewable resources, multi-method optimization, and efficient grid operation strategies.

Keywords


Artificial intelligence; Buck-boost converter; Electric vehicles; Hybrid optimization; Power quality

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DOI: http://doi.org/10.11591/ijai.v15.i4.pp3389-3401

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Copyright (c) 2026 Vidhya Kuruvilla, Immanuel Selvakumar, Pandiyan Venkatesh Kumar

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IAES International Journal of Artificial Intelligence (IJ-AI)
ISSN/e-ISSN 2089-4872/2252-8938 
This journal is published by the Institute of Advanced Engineering and Science (IAES).

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