Cost Optimization Techniques for EV Charging Stations Based on Renewable Energy Sources and Grid Power

<div class="section abstract"><div class="htmlview paragraph">Adoption of Electric Vehicles (EVs) reduces air pollution by reducing harmful gas emissions. Such adoption, however, needs a reliable and convenient charging infrastructure, including smart EV charging. Renewable energy sources such as solar photovoltaic cells, battery and wind energy systems can address these infrastructural gaps which work in conjunction with main grid power supply thereby providing low-cost electricity. This paper introduces an energy management algorithm for integrated renewable and grid power sources available at charging stations across India that considers techno-economic and environmental factors.</div><div class="htmlview paragraph">The current work proposes a supervisory controller model that manages the load power demand of the charging station. The controller effectively deploys low cost energy sources based on the status of all available power supplies and reduces the overall charging costs in real time. The energy management algorithm ensures adequate stand-alone energy generation and storage at charging station for charging electric cars, even when renewable energy generation is low for variable charging load.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-12-04
DOI
https://doi.org/10.4271/2024-28-0146
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Cost Optimization Techniques for EV Charging Stations Based on Renewable Energy Sources and Grid Power

Saurabh Suman, Yogendra Singh Kushwah, Ankit Shukla
SAE technical papers on CD-ROM/SAE technical paper series
Electric Vehicles and Infrastructure
article

Cost Optimization Techniques for EV Charging Stations Based on Renewable Energy Sources and Grid Power

Saurabh Suman, Yogendra Singh Kushwah, Ankit Shukla
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Adoption of Electric Vehicles (EVs) reduces air pollution by reducing harmful gas emissions. Such adoption, however, needs a reliable and convenient charging infrastructure, including smart EV charging. Renewable energy sources such as solar photovoltaic cells, battery and wind energy systems can address these infrastructural gaps which work in conjunction with main grid power supply thereby providing low-cost electricity. This paper introduces an energy management algorithm for integrated renewable and grid power sources available at charging stations across India that considers techno-economic and environmental factors.</div><div class="htmlview paragraph">The current work proposes a supervisory controller model that manages the load power demand of the charging station. The controller effectively deploys low cost energy sources based on the status of all available power supplies and reduces the overall charging costs in real time. The energy management algorithm ensures adequate stand-alone energy generation and storage at charging station for charging electric cars, even when renewable energy generation is low for variable charging load.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
AndroScience (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 80%
Electric Vehicles and Infrastructure
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Cost Optimization Techniques for EV Charging Stations Based on Renewable Energy Sources and Grid Power — Saurabh Suman, Yogendra Singh Kushwah, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2024) | TGRS Research Map | TGRS