A four-layer business model for integration of electric vehicle charging stations and hydrogen fuelling stations into modern power systems
Applied Energy,
Год журнала:
2024,
Номер
377, С. 124630 - 124630
Опубликована: Окт. 14, 2024
Язык: Английский
Optimal Allocation of Fast Charging Stations on Real Power Transmission Network with Penetration of Renewable Energy Plant
World Electric Vehicle Journal,
Год журнала:
2024,
Номер
15(4), С. 172 - 172
Опубликована: Апрель 20, 2024
Because
of
their
stochastic
nature,
the
high
penetration
electric
vehicles
(EVs)
places
demands
on
power
system
that
may
strain
network
reliability.
Along
with
increasing
voltage
deviations,
this
can
also
lower
quality
provided.
By
placing
EV
fast
charging
stations
(FCSs)
in
strategic
grid
locations,
issue
be
resolved.
Thus,
work
suggests
a
new
methodology
incorporating
an
effective
and
straightforward
Red-Tailed
Hawk
Algorithm
(RTH)
to
identify
optimal
locations
capacities
for
FCSs
real
Aljouf
Transmission
Network
located
northern
Saudi
Arabia.
Using
fitness
function,
work’s
objective
is
minimize
violations
over
24
h
period.
The
merits
suggested
RTH
are
its
convergence
rate
ability
eschew
local
solutions.
results
obtained
via
contrasted
those
other
approaches
such
as
use
Kepler
optimization
algorithm
(KOA),
gold
rush
optimizer
(GRO),
grey
wolf
(GWO),
spider
wasp
(SWO).
Annual
substation
demand,
solar
irradiance,
photovoltaic
(PV)
temperature
datasets
utilized
study
describe
demand
well
generation
profiles
proposed
network.
A
principal
component
analysis
(PCA)
employed
reduce
complexity
each
dataset
prepare
them
k-means
algorithm.
Then,
clustering
used
partition
into
k
distinct
clusters
evaluated
using
internal
external
validity
indices.
values
these
indices
weighted
select
best
number
clusters.
Moreover,
Monte
Carlo
simulation
(MCS)
applied
probabilistically
determine
daily
profile
data
set.
According
results,
outperformed
others,
achieving
lowest
value
0.134346
pu,
while
GRO
came
second
place
deviation
0.135646
pu.
Conversely,
KOA
was
worst
method,
0.148358
outcomes
attained
validate
approach’s
competency
integrating
transmission
by
selecting
sizes.
Язык: Английский
Impact of time of use program on widely distribution generation interconnection in urban power network
Journal of Energy Storage,
Год журнала:
2024,
Номер
101, С. 113789 - 113789
Опубликована: Сен. 25, 2024
Язык: Английский
Efficient Management of Electric Vehicle Charging Stations: Balancing user preferences and grid demands with energy storage systems and renewable energy
Applied Energy,
Год журнала:
2025,
Номер
393, С. 126147 - 126147
Опубликована: Май 20, 2025
Язык: Английский
Efficient distribution network based on photovoltaic fed electric vehicle charging station using WSO-RBFNN approach
P. Marish Kumar,
R. Dhilipkumar,
G Geethamahalakshmi
и другие.
Journal of Energy Storage,
Год журнала:
2024,
Номер
106, С. 114728 - 114728
Опубликована: Дек. 3, 2024
Язык: Английский
Photovoltaic-energy storage-integrated charging station retrofitting: A study in Wuhan city
Transportation Research Part D Transport and Environment,
Год журнала:
2024,
Номер
132, С. 104241 - 104241
Опубликована: Май 17, 2024
Язык: Английский
Towards Sustainable Decarbonization: Addressing Challenges in Electric Vehicle Adoption and Infrastructure Development
Energies,
Год журнала:
2024,
Номер
17(21), С. 5443 - 5443
Опубликована: Окт. 31, 2024
The
transition
to
electric
vehicles
(EVs)
plays
a
pivotal
role
in
achieving
decarbonization
within
the
transportation
sector.
However,
widespread
adoption
of
EVs
faces
multifaceted
challenges,
particularly
concerning
infrastructure
development.
This
paper
investigates
intersection
sustainability,
decarbonization,
and
EV
adoption,
with
focus
on
identifying
analyzing
challenges
associated
deployment.
Strictly
adhering
methodological
principles
process
systematic
literature
reviews,
this
analyzes
research
spanning
fields
engineering,
energy,
computer
science,
environmental
social
sciences,
others
elucidate
barriers
hindering
ranging
from
technological
limitations
regulatory
complexities
market
dynamics.
Furthermore,
it
examines
critical
infrastructure,
encompassing
charging
networks,
grid
integration,
supportive
policies,
facilitating
uptake
maximizing
benefits.
findings
are
finally
used
present
implications
for
theory,
practice,
policies
highlight
avenues
future
research.
Язык: Английский
A Systematic Literature Review of Optimal Placement of Fast Charging Station
Опубликована: Янв. 1, 2024
Язык: Английский
A systematic literature review of optimal placement of fast charging station
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Год журнала:
2024,
Номер
unknown, С. 100818 - 100818
Опубликована: Окт. 1, 2024
Язык: Английский
Evolutionary algorithms for dynamic optimization of plug-in charging station networks
MATEC Web of Conferences,
Год журнала:
2024,
Номер
392, С. 01180 - 01180
Опубликована: Янв. 1, 2024
This
research
explores
the
integration
of
predictive
analytics
and
Internet
Things
(IoT)
to
transform
sustainable
urban
transportation
systems.
project
intends
examine
transformational
effect
IoT
on
mobility,
using
empirical
data
obtained
from
devices.
The
includes
information
vehicle
speed,
traffic
density,
air
quality
index
(AQI),
meteorological
conditions.
study
use
modeling
estimate
congestion,
volume.
allows
for
evaluation
prediction
accuracy
its
alignment
with
actual
data.
reveals
a
link
between
increased
density
decreased
while
unfavorable
weather
conditions
correspond
congestion.
Predictive
models
demonstrate
significant
in
forecasting
congestion
quality,
accurate
volume
poses
inherent
complications.
comparison
expected
real
results
demonstrates
dependability
anticipating
AQI,
hence
confirming
effectiveness
models.
interventions
led
by
25%
decrease
levels,
as
well
notable
12.7%
enhancement
despite
little
1.4%
rise
impact
highlights
efficacy
these
solutions,
showcasing
favorable
mitigating
promoting
environmental
sustainability.
Ultimately,
this
emphasizes
that
may
have
improving
enhancing
decision-making
processes,
creating
environments
via
data-driven
insights
proactive
interventions.
Язык: Английский