Title: Electric vehicle with photovoltaic-fed microgrid charging station for reducing the load on the utility grid using a hybrid approach: an exergy analysis

Authors: Balasubramaniapillai Thanammal Geetha

Addresses: Electronics and Communication, Saveetha School of Engineering, SIMATS, Chennai, 602105, India

Abstract: This manuscript proposes an electric vehicle (EV) charging station with a photovoltaic (PV)-fed microgrid to reduce the load on the utility grid using a hybrid approach. The method integrates the skill optimisation algorithm (SOA) and dilated residual network (DRN). The system aims to reduce grid strain, lower consumption costs, and enhance renewable energy use. The results show that the SOA-DRN approach achieves 96.2% energy efficiency and 93.8% exergy efficiency, outperforming particle swarm optimisation (PSO), binary crow search (BCO), and whale optimisation (WHO) methods, which exhibit lower efficiencies. These findings demonstrate the effectiveness of the proposed system.

Keywords: electric vehicle; photovoltaic; micro-grid; charging station; load; battery bank; DC regulator; bidirectional converter.

DOI: 10.1504/IJEX.2025.144562

International Journal of Exergy, 2025 Vol.46 No.2, pp.134 - 151

Received: 22 Apr 2024
Accepted: 16 Nov 2024
Published online: 19 Feb 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article