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 language | English |
|---|---|
| Title of host publication | IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9798331596811 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 - Madrid, Spain Duration: 14 Oct 2025 → 17 Oct 2025 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| ISSN (Print) | 2162-4704 |
| ISSN (Electronic) | 2577-1647 |
Conference
| Conference | 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 |
|---|---|
| Country/Territory | Spain |
| City | Madrid |
| Period | 14/10/25 → 17/10/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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