Energies,
Journal Year:
2024,
Volume and Issue:
17(19), P. 4988 - 4988
Published: Oct. 6, 2024
Today’s
increasingly
complex
energy
systems
require
innovative
approaches
to
integrate
and
optimize
different
sources
technologies.
In
this
paper,
we
explore
the
system
of
(SoS)
approach,
which
provides
a
comprehensive
framework
for
improving
systems’
interoperability,
efficiency,
resilience.
By
examining
recent
advances
in
various
sectors,
including
photovoltaic
systems,
electric
vehicles,
storage,
renewable
energy,
smart
cities,
rural
communities,
study
highlights
essential
role
SoSs
addressing
challenges
transition.
The
principal
areas
interest
include
integration
advanced
control
algorithms
machine
learning
techniques
development
robust
communication
networks
manage
interactions
between
interconnected
subsystems.
This
also
identifies
significant
associated
with
large-scale
SoS
implementation,
such
as
real-time
data
processing,
decision-making
complexity,
need
harmonized
regulatory
frameworks.
outlines
future
directions
intelligence
autonomy
subsystems,
are
achieving
sustainable,
resilient,
adaptive
infrastructure.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 30, 2025
Microgrid
systems
have
evolved
based
on
renewable
energies
including
wind,
solar,
and
hydrogen
to
make
the
satisfaction
of
loads
far
from
main
grid
more
flexible
controllable
using
both
island-
grid-connected
modes.
Albeit
microgrids
can
gain
beneficial
results
in
cost
energy
schedules
once
operating
mode,
such
are
vulnerable
malicious
attacks
viewpoint
cybersecurity.
With
this
mind,
paper
explores
a
novel
advanced
attack
model
named
false
transferred
data
injection
(FTDI)
aiming
manipulatively
alter
power
flowing
microgrid
upstream
raise
voltage
usability
probability.
One
crucial
piece
information
that
uses
change
system
cause
greatest
amount
damage
while
concealing
attacker's
view
is
stability
index.
Saying
transaction
between
within
broad
scope
bilateral
exchange
at
any
given
moment
noteworthy.
Put
otherwise,
with
respect
FTDI
assault,
microgrid's
direction
just
as
significant
detection
value.
Therefore,
running
detector
needs
concurrently
detect
changes
value
power.
To
overcome
problem,
presents
learning
generative
network
model,
adversarial
(GAN)
paradigm,
recognize
probability
values
maliciously
aimed.
end,
studied
wind
turbine,
photovoltaic,
storage,
tidal
fuel
cell
units
performed
tested
24-bus
IEEE
satisfy
local
load
demands.
Comparative
analysis
indicates
notable
gains,
scores
0.95%,
0.92%,
0.7%,
10%
for
Hit
rate,
C.R.
F.A.
Miss
rate
order
evaluate
GAN-based
microgrid.
International Journal of Energy Research,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Smart
community
microgrids
are
capable
of
efficiently
addressing
the
energy
and
environmental
challenges
faced
by
cities.
However,
inherent
instability
renewable
sources
diverse
nature
user
demands
pose
to
safe
operation
power
systems.
In
this
article,
we
first
introduce
a
comprehensive
system
architecture,
an
operational
framework
based
on
Energy
Internet
Things
(EIoT),
which
considers
system‐level
safety,
reliability,
cost‐effectiveness,
thereby
enhancing
system’s
coordination
performance.
Next,
propose
bi‐level
coordinated
optimization
method
users’
electricity
consumption
behaviors.
At
planning
level,
employ
multiobjective
approach
determine
most
suitable
microgrid
configurations
that
cater
requirements
various
groups,
results
derived
from
adaptive
weight
particle
swarm
(PSO)
algorithm
fed
back
level.
24‐h
time
scale
is
selected,
economic
efficiency
problem
addressed
using
linear
programming
method.
The
decision
then
level
for
major
maintenance
system.
Meanwhile,
trend
prediction
methods
categorize
tasks
into
short‐term
long‐term
operations
analysis
daily
data.
can
serve
as
reference
guide
tasks,
while
inform
renovation
reconstruction
initiatives
microgrid.
Finally,
choose
subject
our
study,
indicate
research
provide
new
design
in
smart
communities,
improving
scalability
community’s
Electronics,
Journal Year:
2024,
Volume and Issue:
13(20), P. 4086 - 4086
Published: Oct. 17, 2024
With
the
widespread
use
of
fossil
fuels,
Earth’s
environment
is
facing
a
severe
threat
degradation.
Traditional
large-scale
power
grids
have
struggled
to
meet
ever-growing
demands
modern
society.
The
implementation
and
functioning
microgrids
not
only
enhance
renewable
energy
sources
but
also
considerably
diminish
environmental
damage
resulting
from
fuel
consumption.
However,
inherent
instability
presents
major
challenge
reliability
microgrids.
To
address
uncertainties
wind
photovoltaic
generation,
it
urgent
adopt
effective
operational
control
methods
adjust
distribution,
thereby
achieving
an
economically
efficient
system
operation
ensuring
reliable
supply.
This
paper
utilizes
microgrid
consisting
power,
thermal
units,
storage
devices
as
research
object,
establishing
economic
dispatch
model
aimed
at
minimizing
total
operating
cost
system.
solve
this
problem,
introduces
second-order
oscillatory
particles
improves
Particle
Swarm
Optimization
algorithm,
proposing
chaotic
mapping
particle
swarm
optimization
(SCMPSO).
simulation
results
show
that
method
can
effectively
optimize
costs
while
stable
microgrid.
