Journal of Electrical Systems and Information Technology,
Год журнала:
2024,
Номер
11(1)
Опубликована: Дек. 18, 2024
Abstract
Rising
energy
costs,
climate
change
impacts,
and
transmission
losses
have
increased
demand
for
renewable
sources
decentralized
solutions.
As
more
people
seek
smart
living
working
environments,
integrated
microgrids
powered
by
hybrid
systems
become
attractive
solutions
off-grid
on-grid
communities.
This
study
proposes
designing
a
solar-wind-battery
microgrid
supplying
medical
load
et
al.-Ain
Al-Sokhna,
Egypt.
The
optimization
objectives
aim
to
minimize
the
loss
of
power
supply
probability
(LPSP
%)
levelized
cost
(LCOE,
$/kWh).
A
key
consideration
when
optimizing
is
management
strategy,
which
coordinates
different
generation
fluctuating
demand.
Therefore,
algorithms
were
applied
balance
flows
while
meeting
loads,
mitigating
weather
preventing
overcharging/deep
discharge
battery
storage.
Models
wind
turbines,
photovoltaic
panels,
storage
developed
simulate
analyze
proposed
operations.
multi-objective
approach
evaluated
LPSP
LCOE
metrics
using
transit
search,
grey
wolf,
particle
swarm
find
optimal
system
configurations.
demonstrated
varying
performances
in
minimizing
functions
microgrids.
particle-swarm
technique
best
solution
system,
contains
PV,
wind,
storage,
with
minimum
0.3435
$/kWh
an
4.5334%.
Meanwhile,
transit-search
algorithm
found
configuration
according
objective
function,
yielding
0.116
value
3.0639
×
10
−16
.
Statistical
analysis
confirmed
that
generally
exhibited
stable
robust
capabilities.
Of
methods,
search
was
most
effective
overall
approach.
Engineering Reports,
Год журнала:
2025,
Номер
7(4)
Опубликована: Апрель 1, 2025
ABSTRACT
The
increasing
demand
for
electrical
power
is
placing
heavy
pressure
on
the
system
transmission
network.
To
reduce
this
burden
and
conversion
losses,
a
distributed
generation‐based
DC
microgrid
favorable
due
to
its
flexibility
reliability.
However,
traditional
control
approaches
grid
are
impractical
islanded
microgrids,
making
stability
primary
concern.
Using
conventional
PI
controller
results
in
significant
deviations
bus
voltage
prolonged
settling
times.
Additionally,
techniques
fail
ensure
adequate
current
sharing
between
battery
supercapacitor,
which
employed
voltage.
address
these
issues,
study
proposes
use
of
an
optimized
fractional
order
(FOPI)
efficient
energy
management
algorithm.
FOPI
regulates
processes
while
meeting
constraints,
with
rule
generated
from
minimizing
cost
function.
A
complete
mathematical
model
developed
along
proposed
facilitate
detailed
analyses.
(EMS)
ensures
balance
within
regulated
state‐of‐charge
(SoC)
limits.
Comparing
performance
that
reveals
improvements:
deviation
reduced
by
63.63%,
time
16.67%
faster
during
PV
variation.
During
load
variation,
maximum
2.25
V,
202
ms,
acceptable
ranges.
Journal of Engineering,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
With
the
adjustment
of
global
energy
structure,
power
system
under
penetration
new
has
developed
rapidly.
In
response
to
frequency
security
issues
brought
by
and
influence
state
storage
batteries
on
frequency,
this
paper
constructs
a
model
for
wind–storage
joint
regulation
analyze
characteristics
different
operating
conditions.
On
basis,
considering
scenario
additional
load
disturbance
is
built;
environmental
temperature
analyzed
explore
changes
in
high‐
low‐temperature
conditions;
finally,
robustness
wind
speed
analyzed.
The
results
show
that
when
considered
regulation,
overshoot
reduced
6.01%,
recovery
time
shortened
3.476
s,
steady‐state
error
0.004;
environments
will
cause
be
prolonged,
with
an
16.30%
45°C
high‐temperature
environment
52.66%
−25°C
environment;
lowest
point
remains
above
49.6
Hz
range
5–15
m/s.
Energies,
Год журнала:
2024,
Номер
17(17), С. 4471 - 4471
Опубликована: Сен. 6, 2024
Nowadays,
the
microgrid
system
is
characterized
by
a
diversification
of
power
factors
and
complex
network
structure.
Existing
studies
on
fault
diagnosis
troubleshooting
mostly
focus
detection
operation
optimization
single
device.
However,
for
increasingly
systems,
it
becomes
challenging
to
effectively
contain
faults
within
specific
spatiotemporal
range.
This
can
lead
spread
faults,
posing
great
harm
safety
microgrid.
The
topology
based
deep
reinforcement
learning
proposed
in
this
paper
starts
from
overall
grid
aims
minimize
failure
rate
optimizing
grid.
approach
limit
internal
small
range,
greatly
improving
reliability
operation.
method
optimize
node
multi-node
fault,
reducing
influence
range
21%
58%,
respectively.
Energies,
Год журнала:
2024,
Номер
17(15), С. 3657 - 3657
Опубликована: Июль 25, 2024
Microgrids
play
a
crucial
role
in
modern
energy
systems
by
integrating
diverse
sources
and
enhancing
grid
resilience.
This
study
addresses
the
optimization
of
microgrids
through
deployment
high-efficiency
converters,
aiming
to
improve
management
operational
efficiency.
explores
pivotal
AC-DC
DC-DC
bidirectional
converters
facilitating
conversion
across
various
storage
within
microgrids.
Advanced
control
methodologies,
including
model-based
predictive
artificial
intelligence,
are
analyzed
for
their
ability
dynamically
adapt
fluctuations
power
generation
demand,
thereby
microgrid
performance.
The
findings
highlight
that
implementing
not
only
enhances
stability
quality
but
also
reduces
costs
carbon
emissions,
reinforcing
as
sustainable
effective
solution
contemporary
challenges.
research
contributes
advancing
understanding
implementation
efficient
microgrids,
promoting
widespread
adoption
applications.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Дек. 28, 2024
With
increasing
worldwide
attention
on
environmental
sustainability,
microgrids
that
harness
renewable
sources
have
become
more
prominent.
The
changing
characteristics
of
energy
and
demand's
unpredictable
patterns
might
cause
disruptions
in
the
sustainable
working
microgrids.
Moreover,
EVs
(electric
vehicles),
being
dynamic
loads,
significantly
affect
security
administration
microgrid.
However,
persistent
problem
PSOAs
(particle
swarm
optimization
algorithms)
affected
by
local
optima
emphasizes
need
for
improvements
to
these
algorithms.
In
order
tackle
difficulties,
a
framework
dual-objective
was
developed
with
aim
improving
both
economic
efficiency
sustainability
incorporate
electric
vehicles.
This
model
employs
linear
weighting
strategy
under
TPZSG
(two-person
zero-sum
game)
maximize
utilization
renewables
options
provide
support
load.
ultimate
objective
is
achieve
efficient
balance
between
two
goals.
addition,
advanced
approach
called
enhanced
ASA-PSOA
(adaptive
simulated
annealing-PSOA)
employed
find
best
solutions
this
context.
simulation
outcomes
indicate
multi-function
can
reduce
impact
uncertainties,
hence
optimizing
use
resources
load
management.
Furthermore,
implementing
systematic
charging
discharging
procedures
vehicles
has
potential
decline
operational
expenses
total
expense
system
proposed
algorithm
(ASA-PSOA)
be
reduced
11.1%,
10.1%,
6.5%,
4.5%
compared
PSOA,
standard-PSOA,
adaptive-PSOA,
annealing-PSOA,
respectively.
Therefore,
improved
technique
greatly
enhances
ecological
