The
advent
of
smart
grids
(SG)
has
provided
residents
the
opportunity
to
incorporate
renewable
energy
and
demand
response
(DR)
into
electricity
market
for
optimal
demand-side
management
(DSM).
This
study
introduces
a
generic
DSM
model
featuring
an
Energy
Consumption
Scheduler
(ECS)
optimally
schedule
operation
appliances.
ECS
leverages
various
optimization
algorithms,
including
Particle
Swarm
Optimization
(PSO),
Genetic
Algorithm
(GOA),
Wind-Driven
(WDO),
our
developed
Hybrid
(HGWDO)
algorithm,
appliances
under
real-time
DR.
One
key
challenges
in
efficiently
integrating
RESs
SG
is
their
time
varying
intermittent
nature.
employs
batteries
smooth
out
fluctuations
RE
generation.
Simulation
results
demonstrate
that
proposed
approach
solves
achieves
desired
objectives
utility
bill
payment,
peak-to-average
ratio
(PADR)
minimization
compared
existing
models.
Energies,
Год журнала:
2025,
Номер
18(6), С. 1320 - 1320
Опубликована: Март 7, 2025
The
large-scale
integration
of
wind,
solar,
and
battery
energy
storage
is
a
key
feature
the
new
power
system
based
on
renewable
sources.
optimization
results
wind
turbine
(WT)–photovoltaic
(PV)–battery
(BES)
hybrid
systems
(HESs)
can
influence
economic
performance
stability
electric
(EPS).
However,
most
existing
studies
have
overlooked
effect
electronic
converter
(PEC)
efficiency
capacity
configuration
optimization,
leading
to
significant
difference
between
theoretical
optimal
actual
results.
This
paper
introduces
an
accurate
model
applicable
different
types
PECs,
establishes
enhanced
mathematical
along
with
constraint
conditions
for
WT–PV–BES–grid–load
systems,
precise
models.
In
two
typical
application
scenarios,
configurations
WT–PV–BES
are
optimized
cost
as
objective
function.
among
ignoring
PEC
loss,
using
fixed
models,
models
compared.
show
that
in
DC
system,
total
approximately
96.63%,
increases
by
CNY
49,420,
about
8.56%,
compared
100%
efficiency.
AC
97.64%,
4517,
2.02%,
analysis
clearly
reveals
lack
PECs
will
greatly
affect
precision
effectiveness
optimization.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 29, 2024
The
off-grid
Hybrid
Renewable
Energy
Systems
(HRES)
demonstrate
great
potential
to
be
sustainable
and
economically
feasible
options
meet
the
growing
energy
needs
counter
depletion
of
conventional
sources.
Therefore,
it
is
crucial
optimize
size
HRES
components
assess
system
cost
dependability.
This
paper
presents
optimal
sizing
provide
a
very
cost-effective
efficient
solution
for
supplying
power
rural
region.
study
develops
PV-Wind-Battery-DG
with
an
objective
3E
analysis
which
includes
Energy,
Economic,
Environmental
CO
AIMS Mathematics,
Год журнала:
2024,
Номер
9(3), С. 6603 - 6627
Опубликована: Янв. 1, 2024
<abstract>
<p>Integrating
Green
Renewable
Energy
Sources
(GRES)
as
substitutes
for
fossil
fuel-based
energy
sources
is
essential
reducing
harmful
emissions.
The
GRES
are
intermittent
and
their
integration
into
the
conventional
IEEE
30
bus
configuration
increases
complexity
nonlinearity
of
system.
Grey
Wolf
optimizer
(GWO)
has
excellent
exploration
capability
but
needs
exploitation
to
enhance
its
convergence
speed.
Adding
particle
swarm
optimization
(PSO)
with
GWO
leads
development
a
novel
algorithm,
namely
(GWPSO)
algorithm
capabilities.
This
study
utilizes
advantages
GWPSO
solve
optimal
power
flow
(OPF)
problem
adaptive
systems,
including
thermal,
solar
photovoltaic
(SP),
wind
turbine
(WT),
small
hydropower
(SHP)
sources.
Weibull,
Lognormal,
Gumbel
probability
density
functions
(PDFs)
employed
forecast
output
WT,
SP,
SHP
after
evaluating
8000
Monte
Carlo
possibilities,
respectively.
multi-objective
green
economic
solution
consisted
11
control
variables
reduce
cost,
losses,
proposed
method
address
OPF
validated
using
an
evaluated
by
comparing
it
PSO
algorithms
in
terms
achieving
evaluation
conducted
within
confines
same
test
system
identical
constraints
variables.
WT
SP
sources,
along
led
yearly
cost
reduction
ranging
from
<bold>$\$$19,368</bold>
<bold>$\$$30,081</bold>.
Simulation
findings
endorsed
that
executes
fruitfully
compared
alternative
regarding
consistent
curve
robustness,
proving
potential
viable
choice
cost-effective
solutions
systems
incorporating
GRES.</p>
</abstract>
