Strategic design of electric vehicle charging stations within power distribution networks

• Growing EV Adoption: discuss the increasing demand for electric vehicles and the need for adequate charging infrastructure. • Power distribution Networks: outline the challenges associated with integrating large numbers of charging stations into existing distribution grids. • Forecasting charging Demand: methods to estimate current and future demand for charging stations, considering factors like EV adoption rates, urban vs. rural charging needs, and driver behaviour (e.g., home vs. public charging). • Environmental Sustainability: how EV charging stations can contribute to reducing the carbon footprint, especially when powered by renewable energy sources. • Cost-Benefit Analysis: evaluating the costs of infrastructure investment versus potential benefits like increased grid efficiency, energy savings, and consumer convenience. • Vehicle-to-Grid (V2 G): exploring how EVs can be used as mobile energy storage devices to support grid stability by feeding power back during peak demand times. • Real-World Deployments: case studies from cities or countries that have successfully implemented strategic EV charging infrastructure (e.g., Norway, California, China). For the optimal placement and distribution of EV charging stations, they must be integrated within the power distribution network more effectively. Several parameters are taken into account as part of this process, such as proximity to load centers, capacity of the power system, and traffic volume. The common charging station location distant from the load centers has been established to enhance the quality of power and reduce 5–10 % of distribution losses. Additionally, site location should also include the area land cost and this cost in the urban area is estimated to be about $500 to $2000 per square meter and other zoning regulations. In the design, the service radius of charging stations is also an important factor; Keeping the battery's DOD between 50 % and 70 % yields an estimated driving range of 150–200 km, which suggests a distance between stations of 50–70 km. In this case, the discount rate of 5 % can be adopted for O&M costs over the planning horizon of 20 years while the capital costs of provision of each station varies from $ 50,000 to $ 200,000 depending on the size of the station. The establishment of a large network for charging the EVs will enhance the power balance of the system thus reducing power losses whilst increasing the penetration of electric vehicles by integrating these numerical aspects together with technology and environmental considerations.

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Publication Details

Journal
e-Prime - Advances in Electrical Engineering Electronics and Energy
Published
2025-03-15
DOI
https://doi.org/10.1016/j.prime.2025.100965
Citations
4
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.92
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article

Strategic design of electric vehicle charging stations within power distribution networks

Poonam Semwal, Amit Kumar
4 citations
e-Prime - Advances in Electrical Engineering Electronics and Energy
Electric Vehicles and Infrastructure
2.92
article

Strategic design of electric vehicle charging stations within power distribution networks

Poonam Semwal, Amit Kumar
article en
4 citations

Abstract

• Growing EV Adoption: discuss the increasing demand for electric vehicles and the need for adequate charging infrastructure. • Power distribution Networks: outline the challenges associated with integrating large numbers of charging stations into existing distribution grids. • Forecasting charging Demand: methods to estimate current and future demand for charging stations, considering factors like EV adoption rates, urban vs. rural charging needs, and driver behaviour (e.g., home vs. public charging). • Environmental Sustainability: how EV charging stations can contribute to reducing the carbon footprint, especially when powered by renewable energy sources. • Cost-Benefit Analysis: evaluating the costs of infrastructure investment versus potential benefits like increased grid efficiency, energy savings, and consumer convenience. • Vehicle-to-Grid (V2 G): exploring how EVs can be used as mobile energy storage devices to support grid stability by feeding power back during peak demand times. • Real-World Deployments: case studies from cities or countries that have successfully implemented strategic EV charging infrastructure (e.g., Norway, California, China). For the optimal placement and distribution of EV charging stations, they must be integrated within the power distribution network more effectively. Several parameters are taken into account as part of this process, such as proximity to load centers, capacity of the power system, and traffic volume. The common charging station location distant from the load centers has been established to enhance the quality of power and reduce 5–10 % of distribution losses. Additionally, site location should also include the area land cost and this cost in the urban area is estimated to be about $500 to $2000 per square meter and other zoning regulations. In the design, the service radius of charging stations is also an important factor; Keeping the battery's DOD between 50 % and 70 % yields an estimated driving range of 150–200 km, which suggests a distance between stations of 50–70 km. In this case, the discount rate of 5 % can be adopted for O&M costs over the planning horizon of 20 years while the capital costs of provision of each station varies from $ 50,000 to $ 200,000 depending on the size of the station. The establishment of a large network for charging the EVs will enhance the power balance of the system thus reducing power losses whilst increasing the penetration of electric vehicles by integrating these numerical aspects together with technology and environmental considerations.

e-Prime - Advances in Electrical Engineering Electronics and EnergyVol. 12
Uttarakhand Technical University (IN), Uttaranchal University (IN), Graphic Era University (IN)
Affordable and clean energy
Openalex Percentile: Top 10%
Electric Vehicles and Infrastructure
2.92
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