WSEAS TRANSACTIONS ON SYSTEMS,
Год журнала:
2024,
Номер
23, С. 339 - 353
Опубликована: Дек. 16, 2024
Renewable
energy
resources
are
considered
an
integral
part
of
networked
microgrids.
Networked
microgrids
provide
optimal
solution
for
stable
and
reliable
to
the
end
consumers
even
in
case
its
islanded
mode
operation.
There
several
explicit
analytical
mathematical
formulations
optimization
operations
including
load
balancing
trade
scheduling
energy.
Mostly,
problem
is
job
distribution
operators
use
common
tools.
In
this
paper,
we
present
formulation
multi-objective
cost
functions
their
by
using
particle
swarm
(MOPSO)
algorithm.
Multi-objective
duality
gap
designed
then
solved
introducing
MOPSO
which
has
more
than
one
objective
function.
The
total
function
optimized
order
get
swarm-optimal
solution.
This
algorithm
computed
local
generation
demand
each
microgrid
made
decision
what
needed
buy
or
sell
supported
iteration
operation
We
used
dual
conception
propose
as
a
formulation.
proposed
method
can
deal
with
convex
nonconvex
functions.
non-convex
functions,
have
uncertainty
renewable
sources
attached
Energies,
Год журнала:
2025,
Номер
18(5), С. 1115 - 1115
Опубликована: Фев. 25, 2025
With
the
growing
deployment
of
microgrids,
networked
microgrids
have
emerged
for
their
additional
advantages
economy,
reliability
and
resilience
by
coordinating
operation
multiple
microgrids.
As
are
operated
with
different
ownership,
objectives
functionalities,
formed
show
characteristics
mixed
inconsistent
various
functionalities.
To
enable
coordinated
three
control
structures,
i.e.,
centralized,
distributed
decentralized,
been
constructed
in
literature.
However,
data
sharing
enabling
these
paradigms
resulted
value
propositions
not
well
defined,
leading
to
poor
resource
management
resilience,
etc.
solve
this
issue,
a
complete
comparison
microgrid
energy
under
decentralized
structures
performed.
novel
contribution,
required
minimum
exchange
identified,
respectively.
The
calculated
compared
against
each
other
results
case
studies.
WSEAS TRANSACTIONS ON POWER SYSTEMS,
Год журнала:
2025,
Номер
20, С. 78 - 88
Опубликована: Фев. 26, 2025
Neural
Network
algorithms
have
significant
applications
in
microgrid
operations
optimization
and
control
to
provide
cheap,
robust,
reliable
energy
end-users.
These
are
inspired
by
artificial
neural
networks
(ANNs).
In
this
paper,
we
proposed
a
network
algorithm
(NNA)
based
on
the
unique
structure
of
ANNs.
capability
generate
new
candidate
solutions
using
complicated
ANNs
their
operators.
Improvised
exploitation
each
parameter
asymmetric
interval
iteratively
converged
theoretically
context
convergence
proof.
demonstrated
scheduling
problems
for
networked
microgrids
solved
(ANNs)
along
with
biological
nervous
systems
approach.
The
is
designed
specific
NNA
has
take
benefits
enhanced
solution.
code
supports
implements
network-supported
algorithm.
finds
optimal
utilizing
that
certain
rules
produced
machine
learning
networks.
Energies,
Год журнала:
2025,
Номер
18(7), С. 1618 - 1618
Опубликована: Март 24, 2025
Traditional
centralized
energy
grids
struggle
to
meet
urban
areas’
increasingly
complex
demands,
necessitating
the
development
of
more
sustainable
and
resilient
solutions.
Smart
microgrids
offer
a
decentralized
approach
that
enhances
efficiency,
facilitates
integration
renewable
sources,
improves
resilience.
This
study
follows
systematic
review
approach,
analyzing
literature
published
in
peer-reviewed
journals,
conference
proceedings,
industry
reports
between
2011
2025.
The
research
draws
from
academic
publications
institutions
alongside
regulatory
reports,
examining
actual
smart
microgrid
deployments
San
Diego,
Barcelona,
Seoul.
Additionally,
this
article
provides
real-world
case
studies
New
York
London,
showcasing
successful
unsuccessful
deployments.
Brooklyn
Microgrid
demonstrates
peer-to-peer
trading,
while
London
faces
regulations
funding
challenges
its
systems.
paper
also
explores
economic
policy
frameworks
such
as
public–private
partnerships
(PPPs),
localized
markets,
standardized
models
enable
adoption
at
scale.
While
PPPs
provide
financial
infrastructural
support
for
deployment,
they
introduce
stakeholder
alignment
compliance
complexities.
Countries
like
Germany
India
have
successfully
used
development,
leveraging
low-interest
loans,
government
incentives,
mechanisms
encourage
innovation
technologies.
In
addition,
examines
new
trends
utilization
AI
quantum
computing
optimize
energy,
climate
design
before
outlining
future
agenda
focused
on
cybersecurity,
decarbonization,
inclusion
technology.
Contributions
include
modular
scalable
framework,
innovative
hybrid
storage
systems,
performance-based
model
suited
environment.
These
contributions
help
fill
gap
what
is
possible
today
needed
systems
create
foundation
cities
next
century.
Electricity,
Год журнала:
2024,
Номер
5(3), С. 426 - 448
Опубликована: Июль 5, 2024
This
article
presents
the
development
and
execution
of
a
Single-Ended
Primary-Inductor
Converter
(SEPIC)
multiplier
within
Hardware-in-the-Loop
(HIL)
emulation
environment
tailored
for
photovoltaic
(PV)
applications.
Utilizing
advanced
capabilities
dSPACE
1104
platform,
this
work
establishes
dynamic
data
exchange
mechanism
between
variable
voltage
power
supply
SEPIC
converter,
enhancing
efficiency
solar
energy
harnessing.
The
proposed
model
was
crafted
to
simulate
real-world
capture,
facilitating
evaluation
control
strategies
under
laboratory
conditions.
By
emulating
realistic
operational
scenarios,
approach
significantly
accelerates
innovation
cycle
PV
system
technologies,
enabling
faster
validation
refinement
emerging
solutions.
converter
is
new
topology
based
on
traditional
with
capability
producing
larger
output
in
scalable
manner.
initiative
sets
benchmark
conducting
research,
offering
blend
precision
flexibility
testing
supervisory
strategies,
thereby
streamlining
path
toward
technological
advancements
utilization.
Energies,
Год журнала:
2024,
Номер
17(9), С. 2224 - 2224
Опубликована: Май 5, 2024
Current
developments
in
vehicles
have
generated
great
interest
the
research
and
optimization
of
heating,
ventilation,
air
conditioning
(HVAC)
systems
as
a
factor
to
reduce
fuel
consumption.
One
key
trends
for
finding
solutions
is
intensive
development
electric
transport
and,
consequently,
additional
requirements
reducing
energy
consumption
modifying
climate
systems.
Of
particular
optimal
functioning
comfort
life
support
during
recirculation,
i.e.,
when
there
complete
or
partial
absence
outside
supply,
environment
polluted.
This
work
examines
numerical
models
airfields
(temperature,
speed,
humidity)
also
focuses
on
concentration
carbon
dioxide
oxygen
cabin,
which
critical
ensuring
health
driver
passengers.
To
build
mathematical
model,
Navier–Stokes
equations
with
energy,
continuity,
diffusion
are
used
simulate
gases
humidity.
In
Ansys
Fluent
finite
volume
analysis
package,
model
solved
numerically
using
averaged
RANS
k-ω
turbulence
models.
The
cabin
mainline
locomotive
two
drivers,
taking
into
account
their
breathing,
model.
problem
was
nonstationary
formulation
design
scenario
summer
winter,
time
stabilization
fields
found,
graphs
were
constructed
different
points
time.
A
comparative
uniformity
along
height
carried
out
locations
deflectors,
configurations
found.
Energy
efficiency
values
system
operation
recirculation
operating
modes
obtained.
qualitative
assessment
driver’s
blowing
directions
under
circulation
given
from
point
view
breathing
area.
proposed
solution
makes
it
possible
electricity
3.1
kW
0.6
winter
mode
11.6
3.9
save
up
1.5
L/h
fuel.
conducted
can
be
develop
modern
energy-efficient
safe
providing
comfortable
conditions
drivers
passengers
various
types
transport.
Electronics,
Год журнала:
2024,
Номер
13(10), С. 1838 - 1838
Опубликована: Май 9, 2024
This
study
introduces
an
innovative
version
of
a
recently
studied
converter.
A
Double
Dual
Ćuk
Converter
was
with
advantages
like
the
possibility
designing
it
for
achieving
low-input
current
ripple.
The
proposed
converter,
called
Improved
Converter,
maintains
former
one,
and
is
characterized
by
requiring
one
less
capacitor
inductor
than
its
predecessor.
allows
addressing
challenge
optimizing
topology
to
reduce
component
count
without
compromising
operation;
this
work
proposes
efficient
design
methodology
based
on
theoretical
analysis
experimental
validation.
Results
demonstrate
that
improved
not
only
retains
previous
version,
including
high
efficiency
robustness,
but
also
enhances
power
density
reducing
number
components.
These
advancements
open
new
possibilities
applications
compact
converters,
such
as
renewable
energy
systems,
electric
vehicles,
portable
supply
systems.
underscores
importance
continuous
innovation
in
converter
lays
groundwork
future
research
aimed
at
topologies.
detailed
discussion
operating
principles
modeling
provided.
Furthermore,
simulation
outcomes
highlighting
differences
steady-state
duration,
output
voltage,
input
ripple,
operational
are
shared.
results
from
test
bench
presented
corroborate
efficacy
Smart Grids and Sustainable Energy,
Год журнала:
2024,
Номер
9(2)
Опубликована: Дек. 2, 2024
Functionally
inter-working
and
physically
interconnected
groupings
of
microgrids
are
known
as
networked
microgrids.
Networked
evolved
a
ideational
function
model
for
prospective
distribution
systems
because
the
vast
remarkable
use
smart
grid
innovations,
fresh
operations
ideals,
participation
partners.
Much
labor
is
required
to
facilitate
attain
excellent
coordination,
besides
physical,
communication,
operational
coupling.
The
state-of-the-art
approaches
operating
controlling
microgrids'
energy
management
described
evaluated
in
this
article.
An
assessment
transactive
using
blockchain
technology
conducted.
review
discusses
application
machine
learning
techniques
sheds
light
on
demand-side
within
optimization
applications
reviewed.
Criteria,
networking
rules,
communication
technologies
appropriate
microgrids,
well
both
manners
operation:
isolated
grid-connected,
were
recognized.
prospects,
difficulties,
possible
ways
regarding
enhancing
resilience
current
utilization
methods
enhance
power
system
presented.Additionally,
study
tackles
cybersecurity
challenges
unique
including
various
types
cyberattacks
strategies
detection
mitigation.
After
thorough
review,
paper
proposes
several
recommendations
further
research
development.
These
include
advancing
leading-edge
control
approaches,
technology,
prioritizing
resilience,
refining
framework
employing
artificial
intelligence
implementation
Fluids,
Год журнала:
2024,
Номер
9(6), С. 130 - 130
Опубликована: Май 31, 2024
This
work
is
devoted
to
the
study
of
gas-dynamic
processes
in
operation
climate
control
systems
cabins
vehicles
(HVAC),
focusing
on
pressure
values.
research
examines
issue
assessing
required
values
air
overpressure
inside
locomotive
cabin,
which
necessary
prevent
gas
exchange
between
interior
cabin
and
outside
through
leaks
including
protection
against
penetration
harmful
substances.
The
boost
depends,
among
other
things,
external
body,
power
system
fan,
ratio
input
output
deflectors.
To
determine
pressure,
problem
train
movement
a
wind
tunnel
considered,
internal
fluids
domain
skin
determined
using
numerical
methods
CFD
based
Navier–Stokes
equations,
depending
speed
movement.
finite-volume
modeling
package
Ansys
(Fluent)
was
used
as
an
implementation.
excess
ensures
under
different
operating
modes,
were
studied
numerically
basis
approximate
applied
formula.
In
particular,
studies
carried
out
transport,
airflow
system,
areas
parameters.
During
experiment,
it
found
that
for
100
km/h,
560
kPa,
most
energy-efficient
way
increase
regulate
area
outlet
valves.
