Smart Grids and Sustainable Energy,
Journal Year:
2024,
Volume and Issue:
9(2)
Published: Dec. 9, 2024
Microgrids
(MGs)
play
a
crucial
role
in
the
electrification
of
urban
and
rural
areas
due
to
continuous
growth
power
demand.
Introducing
Renewable
Energy
Sources
(RESs)
into
electricity
sector
significantly
helps
decrease
operational
costs
emissions
from
conventional
generation,
especially
when
installed
MGs
near
customers,
reducing
transmission
losses
costs.
Incorporating
RESs
with
different
Distributed
Generators
(DGs)
creates
critical
need
for
an
Management
System
(EMS)
coordinate
distribute
among
them.
Additionally,
sudden
changes
load
demand,
RES
outputs,
other
system
conditions
require
real-time
monitoring
various
components
parameters.
Therefore,
this
paper
proposes
newly
developed
Political
Optimizer
(PO)
integrated
Internet
Things
(IoT)
technology
ThingSpeak
platform
address
simulate
multi-objective
energy
management
problem.
The
aim
is
minimize
total
generation
treatment
expenses
while
maintaining
supply-demand
balance
providing
customers
required
consistently,
reliably,
efficiently.
proposed
MG
comprises
DGs
dispatch
power,
such
as
Fuel
Cells
(FC),
Gas
Turbines
(GT),
(Photovoltaics
Wind
Turbines),
Conventional
Diesel
(CDG),
main
grid.
grid
operates
both
active
passive
modes
operation.
PO,
combined
IoT
ThingSpeak,
successfully
minimized
expenses.
results
obtained
demonstrated
effectiveness
efficiency
EMS,
it
was
compared
algorithms
outperformed
them,
achieving
lowest
all
test
cases,
reductions
reaching
10%
some
cases.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 11, 2024
Abstract
The
original
load
control
model
of
microgrid
based
on
demand
response
lacks
the
factors
incentive
response,
overall
satisfaction
users
is
low,
degree
Time
Of
Use
(TOU)
price
peak-valley
filling
capacity
weak,
and
difference
curve
large.
Regarding
limitations
current
model,
this
study
further
optimizes
flexible
strategy
proposes
a
two-objective
optimization
incentive.
Meanwhile,
solved
using
an
improved
chaotic
particle
group
algorithm.
Finally,
data
were
selected
for
simulation
analysis.
results
showed
that
comprehensive
proposed
increased
by
9.51%,
operating
cost
suppliers
decreased
12.975/ten
thousand
yuan,
peak
valley
4.61%,
user
27.24%.
effectively
improves
profit
supply
side
microgrid,
satisfaction,
maximizes
linkage
benefits
micro
grid.
In
addition,
reduces
phenomenon
distributed
power
in
realizes
matching
whole
microgrid.
World Electric Vehicle Journal,
Journal Year:
2024,
Volume and Issue:
15(9), P. 412 - 412
Published: Sept. 8, 2024
This
review
paper
critically
examines
the
role
of
demand
response
(DR)
in
energy
management,
considering
increasing
integration
renewable
sources
(RESs)
and
rise
electric
vehicle
(EV)
adoption.
As
landscape
shifts
toward
sustainability,
recognizing
synergies
challenges
offered
by
RESs
EVs
becomes
critical.
The
study
begins
explaining
notion
response,
emphasizing
its
importance
optimizing
usage
grid
stability.
It
then
investigates
specific
characteristics
possible
benefits
incorporating
into
DR
schemes.
assessment
evaluates
effectiveness
techniques
leveraging
variability
generation
managing
charging
patterns
vehicles.
Furthermore,
it
outlines
important
technological,
regulatory,
behavioral
impediments
to
DR’s
mainstream
adoption
alongside
EVs.
By
synthesizing
current
research
findings,
this
provides
insights
opportunities
for
enhancing
efficiency,
lowering
greenhouse
gas
emissions,
advancing
sustainable
systems
through
coordinated
implementation
sources,
Processes,
Journal Year:
2024,
Volume and Issue:
13(1), P. 65 - 65
Published: Dec. 31, 2024
Battery
energy
storage
systems
(BESSs)
and
plug-in
hybrid
electric
vehicles
(PHEVs)
are
essential
for
microgrid
operations
to
be
financially
viable.
PHEVs
can
serve
as
mobile
devices,
storing
excess
during
times
of
low
demand
delivering
it
high
demand.
By
offering
reliable
on-site
storage,
BESSs
improve
cost
efficiency
by
allowing
the
store
cheap,
off-peak
electricity
release
when
prices
increase.
To
minimize
generation
costs
alleviate
grid
stress
periods
demand,
load-shifting
policies
shift
inelastic
loads
hours
lower.
When
combined,
these
tactics
support
dependable,
affordable,
effective
management.
A
recently
developed
RIME
algorithm
is
used
optimization
tool
reduce
total
operating
(TOC)
an
MG
system
three
cases
situations.
The
emphasize
a
modified
load
style
influenced
optimal
method
(OLSM)
order
characteristics
policy
(OCLSP),
whereas
situations
refer
inclusion
ESS
in
system.
TOC
decreased
from
$2624
without
$2611
$2331
with
BESSs,
respectively.
These
were
further
reduced
$1192,
$1162,
$1147,
respectively,
OLSM
was
implemented
restructure
base
Additionally,
balance
between
minimal
carbon
emission
obtained
OLSM-based
model
BESSs.
outperformed
many
algorithms
consistent
robust,
yielding
better
quality
solutions.
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Journal Year:
2024,
Volume and Issue:
8, P. 100529 - 100529
Published: April 1, 2024
This
research
addresses
the
pressing
need
for
clean
energy
solutions
by
focusing
on
increasing
adoption
of
photovoltaic
(PV)
modules
as
alternatives
to
fossil
fuel-based
sources.
Despite
their
promise,
PV
face
challenges
in
maintaining
efficiency
under
varying
environmental
conditions.
To
tackle
this,
study
develops
a
one-diode
model
using
Gravitational
Search
Algorithm
(GSA)
obtain
optimal
parameters
so
that
performance
across
diverse
weather
conditions
can
be
obtained.
The
integration
microcontroller
and
sensors
experimental
setup
allows
real-time
monitoring
critical
variables
such
irradiance,
temperature,
humidity,
alongside
voltage
current
measurements.
While
there
are
certain
constraints,
sensitivity
sensor
data
significant
dependency
estimated
However,
analyzing
three
specific
SOLTECH215,
PHOTOWATT220,
KC200GT
conditions,
this
provides
invaluable
insights
into
optimizing
production
practical
applications.
By
bridging
theoretical
modeling
with
validation,
it
lays
groundwork
more
efficient
reliable
solar
systems,
thus
driving
transition
towards
cleaner
sustainable
future.
