The
evolution
of
traditional
power
systems
into
smart
grids
has
been
pivotal
in
enhancing
grid
efficiency,
stability,
and
sustainability.
This
study
presents
a
comprehensive
load
flow
analysis
optimization
framework
tailored
for
the
integration
components,
including
hybrid
photovoltaic
(PV)
wind
systems,
coupled
with
Battery
Management
System
(BMS)
Unified
Power
Flow
Controller
(UPFC).
research
developed
simulation
model
Matlab
to
analyze
performance
residential
microgrid
under
normal
fault
conditions.
results
underscored
benefits
integrating
distributed
generation
intelligent
control
demonstrating
significant
improvements
voltage
regulation,
line
loadings,
overall
system
stability.
grid-integrated
approach
was
compared
methods,
revealing
its
superiority
accommodating
renewable
energy
sources
resilience.
concludes
that
control-based
is
not
only
feasible
but
also
imperative
modern
laying
groundwork
future
advancements
technology.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2487 - 2487
Published: March 17, 2024
This
study
addresses
the
challenges
associated
with
electric
vehicle
(EV)
charging
in
office
environments.
These
include
(1)
reliance
on
manual
cable
connections,
(2)
constrained
options,
(3)
safety
concerns
management,
and
(4)
lack
of
dynamic
capabilities.
research
focuses
an
innovative
wireless
power
transfer
(WPT)
system
specifically
designed
for
use
parking
areas.
incorporates
renewable
energy
resources
(RERs)
uses
transformative
Internet
Things
(IoT).
It
employs
a
mix
solar
systems
battery
storage
solutions
to
facilitate
sustainable
efficient
supply
EVs.
The
integration
IoT
technology
allows
automatic
initiation
as
soon
EV
is
parked.
Additionally,
implementation
Blynk
application
offers
users
real-time
access
information
regarding
operational
status
photovoltaic
levels
their
further
enhanced
RFID
technologies
provide
updates
availability
slots
implement
strict
security
protocols
user
authentication
protection.
also
includes
case
focusing
this
settings.
achieves
95.9%
IRR,
lower
NPC
USD
1.52
million,
56.7%
contribution
by
RERs,
it
reduces
annual
carbon
emissions
173,956
kg
CO2.
Sustainable Energy Grids and Networks,
Journal Year:
2024,
Volume and Issue:
39, P. 101452 - 101452
Published: June 18, 2024
Existing
energy
management
systems
are
becoming
increasingly
insecure
and
inefficient
due
to
the
rapid
adoption
of
smart
grid
technology.
Current
research
indicates
that
effectively
managing
dynamic
flows,
adjusting
changing
needs,
protecting
against
new
cyber
threats
remain
significant
challenges
for
system.
An
advanced
comprehensive
plan
grids
is
therefore
required,
capable
addressing
these
delicate
multifaceted
problems.
The
proposed
framework
addresses
through
unifying
several
key
aspects,
it
includes
an
data
acquisition
system
captures
real-time
from
various
sources,
enabling
monitoring
flow
analysis.
By
integrating
predictive
algorithms,
provides
precise
demand
forecasting,
which
essential
adaptive
management.
A
contribution
incorporation
AI-based
module
diagnostics
prognostics,
leverages
machine
learning
techniques
shift
reactive
proactive
maintenance
strategies.
optimal
power
(OPF)
optimization
represents
a
central
component
framework.
It
employs
computational
methods
ensure
efficient
cost-effective
distribution,
particularly
in
incorporating
renewable
sources.
Additionally,
architectural
strengthened
by
robust
cybersecurity
designed
safeguard
wide
range
threats,
maintaining
integrity
both
operational
consumer
data.
This
paper
also
practical
implementation
such
as
compatibility
with
existing
infrastructure,
investment
costs,
need
specialized
training.
solution
benchmark
operations,
ensuring
more
sustainable
systems.
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: June 21, 2024
This
research
paper
presents
the
development
and
analysis
of
a
multifaceted
smart
grid
prototype.
It
combines
various
technologies
for
operation.
The
first
technology
is
environmental
solar
panel
cleaning.
Secondly,
radio-frequency
identification
(RFID)-based
security
access
control
system
has
been
integrated
grid.
third
component
internet
things
(IoT)-based
energy
monitoring
load
management.
For
sensors
such
as
temperature,
humidity,
light-dependent
resistor,
flame
are
connected
to
NodeMCU
controller
real
time
monitoring.
Moreover,
IoT
based
cleaning
developed
in
form
prototype
with
help
Blynk
servo
motor.
second
which
Arduino
RFID
module
facilitate
secure
control.
part
employs
voltage
current
an
ESP32
microcontroller
application
real-time
consumption
analysis.
setup
enables
remote
voltage,
power
dynamics,
patterns
also
offers
solution
management
shedding
within
complete
overall
demonstrates
comprehensive
approach
1)
management,
2)
analysis,
3)
security,
4)
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 4, 2025
This
study
presents
a
novel
approach
to
identifying
meters
and
their
pointers
in
modern
industrial
scenarios
using
deep
learning.
We
developed
neural
network
model
that
can
detect
gauges
one
or
more
of
on
low-quality
images.
use
an
encoder
network,
jump
connections,
modified
Convolutional
Block
Attention
Module
(CBAM)
gauge
panels
pointer
keypoints
also
combine
the
output
decoder
improved
CBAM
as
inputs
Object
Heatmap-Scalarmap
find
tip
heat
map
peaks
predict
pointing.
The
method
proposed
this
paper
is
compared
with
several
learning
networks.
experimental
results
show
has
highest
recognition
correctness,
average
precision
0.95
0.763
for
Keypoint
Similarity
Vector
Direction
Similarity,
recall
0.951
0.856
test
set,
respectively,
achieves
best
terms
efficiency
accuracy
achieve
trade-off,
performs
well
recognizing
multiple
targets.
demonstrates
its
robustness
real
provides
new
idea
images
efficiently
accurately
complex
scenarios.
