International journal of engineering. Transactions C: Aspects,
Journal Year:
2024,
Volume and Issue:
37(9), P. 1780 - 1789
Published: Jan. 1, 2024
Today,
with
the
growth
of
population
and
increasing
trend
in
use
electrical
energy,
importance
reliability
stability
power
grid
has
increased.
The
ever-increasing
development
subsequent
blackouts
can
lead
to
serious
problems
daily
life
economy
a
country.
In
addition
economic
damages,
losses
network
dissatisfaction
decreased
consumer
confidence
grid.
This
research
been
carried
out
check
application
genetic
algorithm
calculate
indices
including
SAIFI,
SAIDI,
etc.,
its
impact
on
enhancing
standard
IEEE
33
69
bus
distribution
networks.
Additionally,
this
study
explores
GA
effectiveness
minimizing
both
active
reactive
losses.
simulation
results
MATLAB,
show
constructive
effect
applying
GA,
shedding
light
potential
optimize
minimize
losses,
offering
valuable
insights
for
system
optimization
improvement.
Energy,
Journal Year:
2024,
Volume and Issue:
291, P. 130442 - 130442
Published: Jan. 23, 2024
This
paper
presents
a
strategy
based
on
the
hierarchical
rolling
horizon
control,
also
called
model
predictive
control
(MPC),
for
efficiently
managing
hydrogen-energy
storage
system
(HESS)
within
an
islanded
wind-solar
microgrid.
An
electrolyzer
uses
electricity
generated
from
renewable
sources
to
produce
clean
hydrogen,
which
is
then
re-electrified
by
fuel
cell
as
needed
meet
microgrid's
loads.
The
main
contribution
lies
in
incorporation
of
multiple
hydrogen
tanks
HESS,
distinguishing
it
existing
literature,
typically
focuses
single
tank.
HESS
enables
large
volumes
long-term
use,
allowing
microgrid
operate
autonomously
without
interaction
with
utility
grid.
In
order
ensure
optimal
performance,
selection
most
suitable
device
operation
at
each
time-step
crucial.
proposed
takes
into
account
economic
and
operational
costs,
degradation
aspects,
physical
constraints
while
simultaneously
ensuring
tracking
reference
demands
highest
priority
smoothing
out
variations
energy
sources.
Numerical
simulations
lab-scale
setup
demonstrate
that
controller
effectively
manages
thus
satisfying
optimizing
even
when
deviations
occur
between
predicted
real-time
scenarios.
Furthermore,
inclusion
allows
both
mitigate
fluctuations
power
load
demand.
Decision Analytics Journal,
Journal Year:
2024,
Volume and Issue:
11, P. 100455 - 100455
Published: April 4, 2024
This
study
aims
to
reveal
consumers'
intention
purchase
Electric
Vehicles
(EVs)
based
on
the
Unified
Theory
of
Acceptance
and
Use
Technology
(UTAUT)
model.
A
hybrid
fuzzy
decision-making
model
with
three
stages
is
proposed.
First,
experts'
weights
are
computed
using
an
artificial
intelligence
methodology.
Second,
eight
UTAUT-based
indicators
examined
a
T-Spherical
TOPSIS-based
DEMATEL
(TOP-DEMATEL)
The
criteria
weighted
by
multi-SWARA
(M-SWARA)
Third,
evaluation
conducted
for
seven
emerging
countries
considering
Spherical
Fuzzy
(SF)
Additive
Ratio
Assessment
(ARAS)
technique.
main
contribution
this
that
new
methodology
can
identify
more
significant
determinants
use
EVs.
methodological
integrating
theory.
findings
demonstrate
environmental
factors
play
most
role
in
Additionally,
performance
expectancy
also
another
critical
determinant.
We
find
issues
should
be
given
importance
production
process
Using
fossil
fuels
while
producing
these
vehicles
will
significantly
reduce
users'
confidence.
phenomenon
cause
consumers
awareness
not
vehicles.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 9, 2024
Within
the
scope
of
sustainable
development,
integrating
electric
vehicles
(EVs)
and
renewable
energy
sources
(RESs)
into
power
grids
offers
a
number
benefits.
These
include
reducing
greenhouse
gas
emissions,
diversifying
sources,
promoting
use
green
energy.
Although
literature
on
hosting
capacity
(HC)
models
has
grown,
there
is
still
noticeable
gap
in
discussion
that
successfully
handle
transmission
expansion
planning
(TEP),
demand
response
(DR),
HC
objectives
simultaneously.
Combining
TEP,
DR,
one
model
optimizes
resource
use,
enhances
grid
stability,
supports
EV
integration,
aligns
with
regulatory
market
demands,
resulting
more
efficient,
reliable,
system.
This
research
presents
an
innovative
two-layer
model,
including
considerations
for
TEP
DR.
The
determines
highest
degree
load
shifting
appropriate
incorporation
networks
first
layer.
Meanwhile,
second
layer
focuses
augmenting
RES
EVs'
capability
modernizing
network
infrastructure.
System
operators
can
choose
best
scenario
to
increase
penetration
level
EVs
RESs
aid
proposed
model.
which
formulated
as
multi-objective
mixed-integer
nonlinear
optimization
problem,
uses
hierarchical
technique
identify
effective
solutions
by
combining
particle
swarm
algorithm
crayfish
optimizer.
When
compared
traditional
methods,
results
obtained
from
implementing
Garver
IEEE
24-bus
system
indicated
how
it
at
solving
presented
case
studies
demonstrated
DR
problem
reduced
peak
10.4-23.25%.
findings
also
highlighted
did
not
impact
total
consumed
throughout
day,
but
reshape
timing
charging,
creating
opportunities
integration
during
periods
high
demand.
Implementing
projects
needed
and,
some
cases,
led
cost
savings
up
12.3%.
