This
paper
deals
with
the
design
of
an
advanced
optimal
strategy
to
enhance
power
management
and
frequency
control
in
marine
microgrids.
The
investigated
system
incorporates
a
mix
renewable
energy
sources
coordinated
hybrid
storage
devices.
A
new
robust
PIDN
controller
is
employed
tackle
intermittency
challenges
associated
wind
generation,
ensuring
precise
via
time-domain
simulations.
multiple-energy
system,
which
includes
SMES/batteries/ultra-capacitors
(UCs)
fuel
cells
(FCs),
was
implemented
manage
variations
optimize
charge/discharge
cycles
batteries.
To
further
mitigate
fluctuations
extend
life
batteries,
low-pass
filter
applied,
inspired
by
optimization
techniques
for
systems.
notable
innovation
this
study
introduction
offshore
photovoltaic
(PV)
array
into
enhancing
diversity
capacity
production
microgrid.
comprehensive
comparative
conducted,
exploring
range
scenarios:
without
storage,
integration
PV
energy,
excluding
use
diesel,
implementing
battery
filtering.
approach
allowed
evaluation
impact
each
configuration
on
overall
performance
microgrid,
underscoring
significant
enhancements
sustainability,
efficiency,
reduction
dependence
fossil
fuels.
Preliminary
results
point
considerable
improvement
isolated
environments,
showcasing
potential
future
microgrid
applications.
research
makes
contribution
advancement
systems,
presenting
viable
sustainable
option
powering
Energy Exploration & Exploitation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
In
order
to
reduce
energy
waste
caused
by
insufficient
absorption
capacity,
improve
the
stability
and
reliability
of
wind
solar
storage
system,
power
costs,
greenhouse
gas
emissions,
enhance
environmental
benefits.
A
new
optimization
method
for
vanadium
redox
batteries
that
considers
absorptive
capacity
is
studied.
The
outputs
worm
wheel,
photovoltaic,
in
wind–solar
battery
are
calculated
analyzed.
Based
on
calculation
results,
light
memory
majorization
arrange
blueprint
constructed,
impersonal
ability
determine
maximum
total
consumption
recyclable
energy,
highest
utilization
efficiency,
minimum
cycle
fever
tank,
amount
discarded.
After
relevant
constraints
designed,
upgraded
quantum
particle
flock
arithmetic
used
solve
obtain
results
battery.
test
show
after
this
method,
values
distributed
generation
ratio,
load
peak
valley
difference
degree,
fluctuation
degree
0.74,
0.15,
0.17,
respectively;
efficiency
reaches
75.5%;
change
state
condition
relatively
gentle,
range
between
0%
60%;
effective
each
node
above
11
GW/h.
Chemical Product and Process Modeling,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 15, 2025
Abstract
Energy
is
vital
for
life
and
human
development,
with
global
warming
due
to
activities
such
as
the
combustion
of
fossil
fuels
deforestation
emitting
dangerous
greenhouse
gases,
changing
climate
Earth.
Global
energy
demand
increasing,
developed
nations
viewing
buildings
major
consumers.
Due
long
lifespan
buildings,
it
important
evaluate
their
suitability
future
change
possible
changes
in
consumption.
Appraisal
cooling
loads
each
building
now
required
rising
costs
need
reduce
impacts
caused
by
consumption
from
buildings.
This
paper
aims
apply
Random
Forest
Regression
(RF)
Support
Vector
(SVR),
well-known
machine
learning
algorithms
predict
loads.
It
utilizes
Jellyfish
Search
Optimizer
(JSO)
Transit
Optimization
Algorithm
(TSOA)
enhance
accuracy
minimize
overall
error
Cooling
Load
(CL)
estimation.
The
investigation
suggests
two
high-performance
schemes,
applies
optimizers
hybrid
an
ensemble
approach
accurate
appraisal
.
Moreover,
SHAP
method
utilized
compare
effectiveness
parameters.
research
proves
be
insightful
constructing
CL
projection
that
a
RFJS-based
model
most
effective
way
optimize
attained
R
2
0.994
at
its
best
RMSE
0.744.
Other
than
this,
following
was
RSJS,
whose
were
0.989
0.985,
accordingly.
third
best-performing
SVJS
values
0.972
1.583,
Optimal Control Applications and Methods,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 27, 2025
ABSTRACT
The
optimal
design
and
installation
of
hybrid
photovoltaic
(PV),
wind
turbine
(WT)
distributed
generation
(DG),
battery
energy
storage
system
(BESS)
in
radial
distribution
network
(RDN)
using
dynamic
arithmetic
optimization
algorithm
(DAOA)
is
the
main
purpose
this
work.
DAOA
improved
version
(AOA)
which
widely
used
field
Electrical
Engineering
to
solve
different
tasks.
simultaneous
minimization
active
power
loss
voltage
deviation
taken
as
objectives
improve
efficiency
PV/WT/BESS
system.
To
establish
efficacy
suggested
method,
it
examined
on
two
very
well‐known
test
systems
(33‐bus
69‐bus).
uncertainty
from
PV‐
WT‐based
DG
due
solar
irradiance
speed
variation
also
into
consideration.
cost
analysis
well
are
assessed
study.
result
comparison
shows
that
gives
supreme
case
losses,
deviation,
benefits
lost
cost.
This
has
good
response
solution
quality
when
allocation
problem
with
reduction
executed
RDN.
placement
33‐bus
reduces
by
44.27%,
41.47%,
46.23%
44.26%,
39.87%,
45.18%
AOA
for
normal
loading,
15%
increased
10%
decreased
respectively.
Similar
results
observed
69‐bus
Moreover,
if
performance
DAOA,
AOA,
immune
clone
selection
(ICSA),
(CSA),
manta
ray
foraging
(MRFO),
particle
swarm
(PSO)
PV,
WT,
BESS‐
based
observed,
can
be
noticed
annual
savings
10$,
496$,
505$,
669$,
554$
compared
ICSA,
CSA,
MRFO,
PSO,
Similarly
BESS‐based
system,
29$,
3147$,
3154$,
3342$,
3158$
In
quality,
method
grants
its
superiority
over
several
methods
found
literature.
