SMART MOVES JOURNAL IJOSCIENCE,
Journal Year:
2024,
Volume and Issue:
unknown, P. 14 - 21
Published: June 28, 2024
The
integration
of
renewable
energy
sources
with
advanced
hybrid
storage
systems
for
performance
optimization
electric
vehicle
charging
stations
will
be
discussed.
system
suggested
here
consist
a
solar-wind
power
generation
along
the
combination
flywheel
and
permanent
magnet
synchronous
machine
innovative
storage.
This
configuration
efficiently
balances
supply-demand
curve,
thereby
overcoming
challenges
associated
variability
growing
demands
EVs.
Genetic
algorithms
(GAs)
are
used
to
optimize
flow
management,
thus
ensuring
efficient
distribution,
reduced
operational
costs,
stable
DC
bus
voltage
under
dynamic
conditions.
Simulation
results
show
substantial
impacts,
such
as
15%
cost
reduction
in
10%
enhancement
overall
efficiency.
It
further
ensures
effective
integration,
minimizing
dependence
on
traditional
grid,
hence
promoting
sustainability.
outcomes
indicate
load
balancing
output
SOC
pattern
improvement.
These
accomplishments
emphasize
capability
deliver
reliable
economic
supplies,
contributing
cleaner
more
resilient
ecosystem.
framework
offers
scalable
solution
development
sustainable
EV
infrastructures
across
globe
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 4, 2025
Increasing
greenhouse
gas
(GHG)
emissions
and
environmental
issues
have
heightened
the
demand
for
renewable
energy
sources
(RES)
prompted
a
swift
transition
to
electric
vehicles
(EVs)
in
transportation
sector.
This
shift
underscores
need
address
challenges
of
electricity
supply
continuity
vehicle
charging
stations
(EVCS).
study
aims
determine
most
suitable
hybrid
systems
ensure
EVCSs
Çukurova
region
Adana,
Turkey.
Six
different
scenarios
involving
components
such
as
photovoltaic
(PV)
panel,
wind
turbine
(WT),
biomass
generators
(BG),
electrolyzer
(Elz),
hydrogen
tank
(HT),
fuel
cell
(FC),
batteries
(Bat),
inverter
(Inv),
grid
were
analyzed
using
HOMER
Pro
microgrid
analysis
tool
version
3.14.2
software.
The
optimization
results
indicated
that
feasible
system
was
Scenario
4,
comprising
PV,
BG,
Elz,
HT,
FC,
Inv,
components.
scenario's
total
net
present
cost
(NPC)
$611,283.50,
with
levelized
(LCOE)
$0.0215.
annual
production
consumption
1,507,169
kWh
1,420,714
kWh,
respectively.
fact
generated
from
exceeds
sourced
reduces
payback
period
system.
These
findings
highlight
economic
sustainable
potential
enhancing
performance
EVCS
solar-rich
regions.
E3S Web of Conferences,
Journal Year:
2025,
Volume and Issue:
619, P. 02002 - 02002
Published: Jan. 1, 2025
As
natural
disasters
become
more
frequent
and
severe
threatening
modern
power
grids,
increasing
the
resilience
of
electric
supply
systems
has
grown
increasingly
important.
Several
approaches
for
assessing
system
have
been
proposed
in
literature
but
no
effective
methods
developed
to
incorporate
advanced
technologies,
renewable
energy,
cybersecurity
measures
cost
frameworks.
This
paper
presents
a
comprehensive
review
state
art
methodologies
frameworks
taking
into
account
pre
post
event
phases
order
learn
from
their
preparedness
ability
recover.
study
also
provides
opportunities
apply
machine
learning,
AI,
big
data
analytics
planning,
identifies
role
microgrids,
policy
frameworks,
energy
integration,
categorizes
all
existing
techniques
characteristics
shortcomings.
Moreover,
discusses
emerging
challenges
such
as
need
enhanced
networks
ways
which
social
environmental
impacts
can
potentially
influence
water
supply.
The
work
aims
provide
holistic
understanding
distribution
resilience,
present
future
research
directions,
help
develop
efficient
strengthen
grid
improve
restoration
following
disruptions.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3142 - 3142
Published: April 2, 2025
Amid
the
rapid
growth
of
new
energy
vehicle
industry
and
accelerating
global
shift
toward
green
low-carbon
alternatives,
this
paper
develops
a
multi-objective
optimization
model
for
an
Electric
Vehicle
Integrated
Energy
Station
(EVIES)
high-rise
building
wind-solar-storage
sharing
system.
The
aims
to
maximize
daily
economic
revenue
EVIES,
minimize
load
variance
on
grid
side
building,
reduce
overall
carbon
emissions.
To
solve
problem,
Multi-Objective
Sand
Cat
Swarm
Optimization
Algorithm
(MSCSO)
based
mutation-dominated
selection
strategy
is
proposed.
Benchmark
tests
confirm
significant
performance
advantages
MSCSO
in
both
solution
quality
stability,
achieving
optimal
mean
minimum
73%
test
cases.
Further
comparative
analyses
validate
effectiveness
proposed
system,
showing
that
optimized
configuration
increases
by
26.54%
average
reduces
emissions
37.59%.
Additionally,
post-optimization
analysis
reveals
smoother
curve
after
integration,
significantly
reduced
peak-to-valley
difference,
improved
operational
stability.
