A Review on the Impact of Electric Vehicle Deployment on Smart
Grid Infrastructure
Jahnavi Prabhu
1
a
, Amulya U Reddy
2
b
and Madhu B R
2
c
1
RV College of Engineering, RV University, Mysore Road, Bengaluru, Karnataka, India
2
Department of Electrical and Electronics Engineering, RVCE, Bengaluru, India
Keywords: Electric Vehicles, Smart Charging, Vehicle to Grid.
Abstract: The global energy demand is increasing, and in parallel also the depletion of non-renewable energy sources
and ecological damage. Electric vehicles are revolutionary for both the automotive and energy industry as
they point towards a sustainable solution to move people around. Smart Grid supports four basic electricity
operations, and with the increase demand of EVs Smart grid is expected to be challenged. This increasing
number of charging stations can create huge demand on the electricity grid, following rising popularity for
EVs. Several charging strategies and smart grid connection techniques have been used to minimize the adverse
effects of EVs on Charging. Vehicle-to-Grid (V2G) technology would address these issues in part by making
it possible for excess energy to get back into the grid from EVs. V2G technology has many benefits such as
frequency regulation, harmonic filtering, peak load shaving or shifting, grid stabilization and reliability
improvement, energy backup storage capacity both at home in the vehicle enjoys cost savings for rate
optimization purposes as well revenue earning options to consumers participating. Load Pattern Optimization
for Smart Grid presents a problem in the smart grid as it is designed to integrate various components of power
systems, utilizing state-of-the-art technologies that ensure seamless coupling between all interconnected
operations providing effective and resilient energy management. The Smart Grid is a complex integration of
multitude autonomous parts into the power system that pays attention to increasing energy efficiency and
adaptability.
1 INTRODUCTION
The world’s energy demand has been increasing
everyday which is leading to the depletion of non-
renewable energy sources like fossil fuels, coal,
nuclear energy, while also contributing to ecological
deterioration and energy crisis. Electrification has
emerged as one of the most effective measures to
solve the problems of energy crisis, coinciding with a
rise in Co2 emission due to increasing energy
demand. The conventional vehicles, industries also
add up to the Carbon emissions. The application of
non-conventional vehicles has enticed significant
attention in the recent times. The emergence of
Electric Vehicles represents a significant shift in
automotive and energy sector, indicating a transition
towards sustainable transportation solution. Electric
a
https://orcid.org/0009-0004-8187-649X
b
https://orcid.org/0009-0007-6856-1911
c
https://orcid.org/0000-0002-4872-9103
vehicles use batteries, fuel cells, PTC heaters, DC/Dc
convertors to meet the energy demands of the vehicle.
The power demands of the same are self-reliant and
abstain from pollution. The Fig1 shows the growing
demand of Electric vehicles from 2010 to 2030. The
Smart Grid is expected to endure a flux and ambiguity
due to the augmented demand in Electric vehicles
(Tavokoli et al., 2020).
Prabhu, J., Reddy, A. U. and R, M. B.
A Review on the Impact of Electric Vehicle Deployment on Smart Grid Infrastructure.
DOI: 10.5220/0013576800004639
In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2024), pages 53-58
ISBN: 978-989-758-756-6
Copyright © 2025 by Paper published under CC license (CC BY-NC-ND 4.0)
53
Fig 1: Demand for EV vs Convention type vehicles
The grid the term grid denotes an infrastructure that
supports four fundamental electricity operations,
including electricity generation systems, long-
distance electricity transmission, electricity
distribution networks, and electricity consumption by
end users.
2 ELECTRIC VEHICLE
STANDARDS AND CHARGING
The demand for EVs is growing prodigiously
compared to conventional vehicles as shown in fig1.
The burgeoning popularity of EVs has resulted in a
surging number of charging stations, significantly
impacting the electricity grid. Diverse A variety of
charging methodologies alongside intelligent grid
integration techniques are employed to ameliorate the
detrimental impacts of electric vehicle charging. EV
was first invented in the 19th century, however after
myriad fluctuations Electric vehicles had captured
only a modest share of the automotive market
landscape (Das et al., 2020).
Present-day EV technologies when compared to
old EV are garnering widespread acclaim due to
multitude of benefits, including reduce carbon
footprint, zero exhaust gases, silent operation,
utilization of renewable energy source, enhanced
efficiency, lower operating cost. The convergence of
the transportation sector with the power grid poses
several formidable challenges for the power system.
For instance, the widespread adoption of electric
vehicles will exacerbate grid demand during the
charging phase.
The inception of smart grid has streamlined the
power system with an extraordinary communication
facet. Vehicle to Grid encompasses the afore
mentioned smart grid technology. V2G (Vehicle-to-
Grid) technology aims to alleviate such challenges.
By enabling bi-directional energy flow between
electric vehicles and the power grid, V2G technology
can potentially mitigate the increased load on the grid
caused by EV charging (Tan et al., 2020). V2G notion
empowers bidirectional charging allowing batteries
to charge during low demands and expel excess
energy back to the grid when it is not needed. The
power capacity of V2G EV is constrained by three
factors (Kempton and Tomić, 2020):
The ability of the wires and other connections
in the building to carry current
The amount of stored energy in the vehicle
relative to its usage time
The maximum rated power of the vehicle's
electronic systems
V2G technology presents a multitude of
advantages, encompassing frequency regulation,
harmonics filtering, peak load shaving, grid stability,
reliability enhancement, resilience during blackouts,
uninterrupted power supply for homes, backup
energy storage, cost savings, and revenue
opportunities for vehicle owners (Tan et al., 2020).
3 CONCEPTS OF SMART GRID
Smart Grid represents the sophisticated
amalgamation of the multifaceted operations within
the power system encompassing the intricate
processes of electricity generation, distribution, and
bidirectional functionalities. This advanced
infrastructure leverages cutting-edge technologies to
optimize the seamless coordination of these
interconnected activities, ensuring efficient and
resilient energy management (Tuballa and Abundo,
2016).
Smart grids are autarkic systems capable of
autonomously diagnosing and rectifying their
deficiencies within the network, significantly
reducing the need for human intervention. Smart
grids offer a multitude of benefits, including autarkic
reliability, heightened operational efficiency,
seamless integration of renewable energy sources,
robust cybersecurity, consumer empowerment via
real-time data analytics, significant environmental
advantages, economic savings, and scalable
flexibility, representing the zenith of contemporary
energy infrastructure sophistication (Bayindir et al.,
2016).
Fig2: Components connected to the smart grid
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4 IMPLEMENTATIONS TO THE
GRID
Smart Grid an integrated network encompasses
several areas like AMI, WAMS, Power quality,
distributed automation, customer technology etc
(Soykan et al., 2021). Prerogatives of Grid manager
and the EV Driver are considered in designing the
V2G. The driver requires sufficient stored energy
and grid manager is responsible for activating and
deactivating the grid at specific intervals. These
schemes of vehicle to grid can address the impending
disagreements:
Augmenting additional energy storage
(electrical brawn)
Utilizing V2G from fleets with predetermined
usage pattern
Implementing sophisticated controls for
supplementary requirements (Kempton and
Tomić, 2020)
Advanced metering infrastructure (AMI) is deployed
to evaluate comprehensive load variation at each
customer interface and furnish feedback, also
facilitating the enhancement of power quality (PQ)
levels. Wide area monitoring systems (WAMS)
leverage phasor measurement technology to surviel
transmission system conditions across vast regions,
identifying and mitigating grid instabilities.
Distribution automation (DA) technologies grant
operators sophisticated capabilities to detect, locate,
and diagnose faults, with real-time data on primary
feeders provided by remote fault indicators, relays,
and re-closers.
Customer technology (CT) and information and
communication technology (ICT) manage customer
communications and align customer needs with grid
operations. Distributed generation (DG) involves
electricity production from renewable sources like
rooftop photovoltaic (PV) systems, small-scale
hydro, and wind plants. Energy storage systems
(ESS) allow engineers to optimize the power system,
primarily addressing uncertainties in renewable
distributed generation. Finally, electric vehicle (EV)
charging infrastructures, a burgeoning global market,
necessitate access to electric vehicle supply
equipment (EVSE).
Along with these facets there are some
imperatives to be chosen they are:
Fault current restrictions
Power flow regulation
Adaptive Protection Measures
Enhanced safety against faults
Instantaneous electricity load transfer
Ascertainment equipment status
Expeditious electric loads transfer
Concomitantly other steps involved are diagnosis
of traits of smart grid, synchronizing each role, Data
Compilation, determining the benefit, Valorise the
benefit, expense evaluation (Sospiro et al., 2021). EV
charging characteristics should also be considered for
implementing. EV charging entities include charging
point, charging point operator, charging station,
distribution system operator, smart meter. The
charging connector types include Type1, Type2,
Combined Charging systems, CHAdeMO and GB/T.
These connectors vary in plug and socket designs and
are standardized differently across countries and
vehicle models. Main factors to be considered along
with other characters are Battery State of Charge and
Charging Duration.
Battery State of Charge represents the amount of
remaining charge stored in the battery of an electric
vehicle. The initial SoC is the battery’s energy level
at the start of charging process, while the target SoC
denotes the desired charge level upon completion.
The EV charging curve shown in fig 3 initially
rises rapidly and then slows down as it approaches
full capacity due to the battery management system
reducing the current to prevent overcharging.
Conversely, the discharging curve shows a steady
decline initially, followed by a more rapid decrease as
the battery depletes, which reflects increased energy
demands and voltage drops. This behaviour is typical
for lithium-ion batteries, where efficient charging
occurs at lower states of charge and protective
measures kick in as the battery nears full capacity.
Fig 3: Charging State of Charge and Discharging State of
charge
A Review on the Impact of Electric Vehicle Deployment on Smart Grid Infrastructure
55
5 IMPACTS OF EV ON SMART
GRID
Electric Vehicle (EVs) integration into the grid
presents significant possibilities and obstacles. It
requires strategic planning and technological
advancements to manage increase electricity demand,
peak load challenges and infrastructure upgrades,
while also leveraging smart grid and V2G
technologies to enhance renewable energy utilization
and demand response capabilities.
5.1 Peak Load
This section must be in one column. The Electric
Vehicles (EVs) are being promoted has a primary
mode of transportation that increases the load in work
areas as well as residential area due to their plug in
charge mode. This causes’ peak plus peak’ and
increase of peak valley difference leading to regional
imbalance (Chun-lin et al., 2011). Significant voltage
deviation and overloads in local distribution
transformer might result from Plug-in Electric
Vehicle (PEV) charging during peak hours. The
system load curve is influenced by the rate and time
of PEV charging. Concentrated charging during peak
periods can result in greater total system peaks, but
spreading charging during off-peak hours can reduce
these peaks (Masoum et al., 2010).
5.2 Economic Demand
Setting up vehicle (EV) infrastructure requires an
amount of investment, in charging facilities, which
includes both public and private charging stations.
This investment plays a role in guaranteeing access to
charging points and accommodating the increasing
EV population. Implementing metering infrastructure
(AMI) and incorporating grid upgrades are essential
for enabling communication, between EVs and the
grid. This optimization helps streamline the charging
procedures while minimizing expenses (Jiang et al.,
2016).
5.3 Vehicle to Grid Integration
Electric vehicles enabled with V2G technology in
parking lots or residential buildings can serve as
energy storage units by supplying electricity to the
grid or recharging during low demand periods
providing advantages, for both grid operators and EV
users (Kumar et al., 2019). V2G also enables
electricity to flow both ways, thus enabling electric
vehicles (EVs) to draw power from the grid for
charging (G2V) and send it back during peak periods
of demand (vehicle-to-grid, or V2G), which helps in
load balancing and grid stability. But integrating this
requires significant investments in grid infrastructure
and equipment upgrades for managing two-way
power flows and increased EV demands (Inala et al.,
2021). While Plug-in Electric Vehicles (PEVs) grow
in market share, the power grid can have higher
energy losses which requires reinforcing of already
existing infrastructure to decrease these losses.
Therefore, the EV charging/discharging should be
managed properly with proper control mechanisms to
prevent challenges such as transformer overloads,
system efficiency degradation and harmonic
distortion in generation and transmission lines.
However, the V2G system necessitates sophisticated
communication technologies so that secure and
efficient interaction among the EV owners, grid
operators and aggregators is possible (Kumar et al.,
2019).
5.4 Grid Infrastructure
One big concern as EVs proliferate is the added
demand on grid infrastructure when it comes to
charging all of them, and that can lead to a lot of stress
on an already-stressed grid.
As EVs are integrated into the grid, this increased
electricity demand, particularly during peak charging
times, can stress the distribution networks and
transformers by causing constant overheating cycles
of equipment (Beaude et al., 2016).
Excessive use of electric vehicle charging stations
can result in voltage imbalances and fluctuations in
areas where the power grid infrastructure may not be
equipped to handle changes, in electricity demand
resulting in either overvoltage or undervoltage
situations (Chun-lin et al., 2011).
Moreover, EV chargers that often involve power
electronics can also bring harmonics into the grid.
Along with damaging the already damaged power
grid, this non-linear loading can also degrade the
quality of power moving through utility lines,
exciting other reactive elements on a transmission
line that might have been idle for a long time and
leading to overheating and efficiency degradation in
transformers and other components.
In fact, the non-linear charging loads of EVs can
lead to harmonic currents that distort the voltage
waveform and endanger sensitive electronic
equipment (Garwa and Niazi, 2019).
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6 ADVANTAGES OF
IMPLEMENTING EV TO GRID
The uses of electric vehicles in the grid infrastructure
have a lot of advantages that can help complement
both energy management and sustainability. Some of
the advantages are listed below:
Smart charging techniques such as off-peak hours
or high renewable energy generation can help
reduce the peak demand on the grid by flattening
load duration curve and should allow for a greater
level of balance and efficiency in transporting.
V2G also has the potential to stabilize grid needs
by allowing an EV to draw from storage but then
give back, helping provide ancillary services like
frequency regulation and spinning reserves at
peak times of demand (Garwa and Niazi, 2019).
Adopting smart charging strategies can help lower
energy costs for EV owners. By adjusting
charging times according to grid demand and
electricity prices, users can benefit from reduced
rates during off-peak hours (Kumar et al., 2019).
Encouraging the adoption of EVs can lead to a
decrease in greenhouse gas emissions and air
pollutants, particularly when the electricity used
for charging is sourced from renewables. This
shift supports overall environmental sustainability
(Beaude et al., 2016).
EV owners can make money by selling energy
stored to the grid or mitigating their demands through
demand response programs, effectively bringing
down cost of ownership and operation of EV as well
hence making financial proposition stronger.
Moreover, EV use can eventually lead to savings for
consumers and utilities. When power is abundant,
EVs and chargers can take advantage of dramatically
lower rates compared to peak loading which avoids
the costly infrastructure upgrades necessitated by
demand (Garwa and Niazi, 2019).
7 FUTURE SCOPE
The future possibilities for integrating Electric
Vehicles (EVs) to the grid system are vast and wide
with many vital areas of innovation as well as
research being poised. As the EVs integration into
the grid is increasing, V2G plays an essential role in
enhancing the grid stability by providing ancillary
services such as frequency regulation which is
essential for managing volatile renewable energy
sources (Kumar et al., 2019). EVs will also be vital in
flexibly absorbing the variability of supply and
demand as renewable deployment is expected to
escalate their share in power mix. It designates future
work to advance schemes that would let EVs uptake
when renewable generation peak and yield during its
trough, hence benefiting grid constancy while
supporting fossil-fuel reliance (Garwa and Niazi,
2019). The fig 4 shows the market strategy for
Electric Vehicles (EVs) by 2030 and growth EV
production volumes with increasing integration of
bidirectional converters allowing transferring power
from the grid to vehicles (Kaufmann, 2017).
Fig 4 Market Strategy for Electric Vehicles
It is important to conduct longitudinal studies that
measure how EV adoption affects grid impact
cumulatively over years. This will allow EV
penetration to be mapped, and for future challenges to
be anticipated.
8 CONCLUSIONS
The growing penetration of Electric Vehicles (EVs)
in the power grid help transform them from fossil
fuel-based to a cleaner and more efficient mode of
transportation. However, there are big challenges
with this shift increased grid stress and potential
overloads due to the demand as well infrastructure
upgrades. Smart grid technologies like Vehicle-to
Grid (V2G) can help as they make the energy flow bi-
directional so we may have a demand response at
peak periods in which vehicles give back some of
their stored electricity to stabilize the system. To truly
capitalize on the advantages electric vehicles can
offer, smart charging as well as other state-of-the-art
grid management technologies are essential to curb
peak loads and boost resiliency whilst also providing
further resources for renewable energy sources at
large. With the maturing of EV technology and its
broader integration with traditional energy
infrastructure will come new opportunities in
innovation, planning and implementation to support a
A Review on the Impact of Electric Vehicle Deployment on Smart Grid Infrastructure
57
healthy (not unsustainable) transformation to cleaner
forms of power.
REFERENCES
Tavakoli, A., Saha, S., Arif, M., Haque, M. E., Mendis, N.,
& Oo, A. (2020). Impacts of grid integration of solar PV
and electric vehicle on grid stability, power quality and
energy economics: A review. IET Energy Systems
Integration, 2(1), 10.1049/iet-esi.2019.0047.
Das, H. S., Rahman, M. M., Li, S., & Tan, C. W. (2020).
Electric vehicles standards, charging infrastructure, and
impact on grid integration: A technological review.
Renewable and Sustainable Energy Reviews,
120,109618.https://doi.org/10.1016/j.rser.2019.109618
Tan, K. M., Ramachandaramurthy, V. K., & Yong, J. Y.
(2016). Integration of electric vehicles in smart grid: A
review on vehicle-to-grid technologies and optimization
techniques. Renewable and Sustainable Energy Reviews,
53, 720–732. https://doi.org/10.1016/j.rser.2015.09.012
Kempton, W., & Tomić, J. (2005). Vehicle-to-grid power
fundamentals: Calculating capacity and net revenue.
Journal of Power Sources, 144(1), 268–279.
https://doi.org/10.1016/j.jpowsour.2004.12.025
Tuballa, M. L., & Abundo, M. L. (2016). A review of the
development of smart grid technologies. Renewable and
Sustainable Energy Reviews, 59, 710–725.
https://doi.org/10.1016/j.rser.2016.01.011
Bayindir, R., Colak, I., Fulli, G., & Demirtas, K. (2016).
Smart grid technologies and applications. Renewable and
Sustainable Energy Reviews, 66, 499–516.
https://doi.org/10.1016/j.rser.2016.08.002
Soykan, E. U., Bagriyanik, M., & Soykan, G. (2021).
Disrupting the power grid via EV charging: The impact of
the SMS phishing attacks. Sustainable Energy, Grids and
Networks, 26, 100477.
https://doi.org/10.1016/j.segan.2021.100477
Sospiro, P., Amarnath, L., Di Nardo, V., Talluri, G., &
Gandoman, F. H. (2021). Smart grid in China, EU, and the
US: State of implementation. Energies, 14(18), 5637.
https://doi.org/10.3390/en14185637
Letendre, S., Perez, R., & Herig, C. (2002). Battery-
powered, electric-drive vehicles providing buffer storage
for PV capacity value. In Proceedings of the Solar
Conference (pp. 105–110). American Solar Energy Society;
American Institute of Architects.
Sultan, V., Aryal, A., Chang, H., et al. (2022). Integration
of EVs into the smart grid: A systematic literature review.
Energy Informatics, 5, 65. https://doi.org/10.1186/s42162-
022-00251-2
Türkoğlu, A. S., Güldorum, H. C., Sengor, I., Çiçek, A.,
Erdinç, O., & Hayes, B. P. (2024). Maximizing EV profit
and grid stability through virtual power plant considering
V2G. Energy Reports.
https://doi.org/10.1016/j.egyr.2024.03.013
Chun-lin, G., Li, W., Dan, W., Wen-bo, Q., & Xiang-ning,
X. (2011). Impact of electric vehicle charging on power
grid. In 2011 International Conference on Electrical and
Control Engineering (pp. 1–4). Yichang, China.
Masoum, A. S., Deilami, S., Moses, P. S., & Abu-Siada, A.
(2010). Impacts of battery charging rates of plug-in electric
vehicles on smart grid distribution systems. In 2010 IEEE
PES General Meeting.
Jiang, Z., Tian, H., Beshir, M. J., Vohra, S., &
Mazloomzadeh, A. (2016). Analysis of electric vehicle
charging impact on the electric power grid: Based on smart
grid regional demonstration project—Los Angeles. In 2016
IEEE PES Transmission and Distribution Conference and
Exposition-LA.
Kumar, M., Vyas, S., & Datta, A. (2019). A review on
integration of electric vehicles into a smart power grid and
vehicle-to-grid impacts. In 2019 International Conference
on Power Systems (ICPS) (pp. 1–6).
https://doi.org/10.1109/ICPS48983.2019.9067587
Inala, K. P., Sah, B., Kumar, P., & Bose, S. K. (2021).
Impact of V2G communication on grid node voltage at
charging station in a smart grid scenario. IEEE Systems
Journal, 15(3), 3749–3758.
https://doi.org/10.1109/JSYST.2021.3055114
Beaude, O., Lasaulce, S., Hennebel, M., & Mohand-Kaci,
I. (2016). Reducing the impact of EV charging operations
on the distribution network. IEEE Transactions on Smart
Grid, 7(6), 2666–2679.
https://doi.org/10.1109/TSG.2015.2489564
Garwa, N., & Niazi, K. (2019). Impact of EV on integration
with grid system A review. In 2019 IEEE International
Conference on Power Systems (ICPS) (pp1–6).
https://doi.org/10.1109/ICPS48983.2019.9067587
Kaufmann, A. (2017). Vehicle-to-grid business model
Entering the Swiss energy market. (Master’s thesis).
ISPES 2024 - International Conference on Intelligent and Sustainable Power and Energy Systems
58