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Techno-Economic Analysis of Grid Connected, Solar and Wind Power Generation based EV Charging Station

  • Fareed Ahmad*
  • , Atif Iqbal
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Renewable energy technologies have made a profound impact on the global electricity sector by providing consumers with reliable and continuous power. In developing countries, one of the most critical research areas involves leveraging renewable energy sources to meet the energy demands of electric vehicle charging stations. This research investigates the technical and financial viability of grid and renewable-powered energy systems for an environmentally sustainable electric vehicle (EV) charging station for Ahmedabad (Gujurat), city of India. The presented setup is subjected to an economic analysis for satisfying the charging requirement of the EV load. The system is designed in such a way that the power exchange takes place between the grid network and different components of the energy system. The optimal sizing of the system component is performed to minimize the levelized cost of electricity and total net present cost while keeping the probability of power supply failure within acceptable limits using a novel hybrid particle swarm optimization and gray wolf optimization algorithm. the optimum values of the total net present cost and levelized cost of electricity for the city of Ahmedabad are 222762.80 $ and 0.023 $/kWh, respectively. The envisaged system could help to reduce the dependence on the overstrained grid, especially in developing nations.

Original languageEnglish
Title of host publicationIECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798331596811
DOIs
StatePublished - 2025
Externally publishedYes
Event51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 - Madrid, Spain
Duration: 14 Oct 202517 Oct 2025

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Country/TerritorySpain
CityMadrid
Period14/10/2517/10/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Battery
  • Charging Station
  • Gray Wolf Optimization
  • Hybrid Techniques
  • Particle Swarm Optimization
  • Renewable Source

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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