Energies,
Journal Year:
2023,
Volume and Issue:
16(7), P. 2992 - 2992
Published: March 24, 2023
Off-grid
hybrid
renewable
energy
systems
represent
the
most
modern
and
flexible
solutions
that
can
cover
a
wide
range
of
efficiency
needs
for
household
consumers.
In
current
context,
these
must
be
taken
into
account
by
consumers,
given
fact
price
has
increased.
This
paper
proposes
an
experimental
analysis
behavior
such
system,
in
real
operating
conditions,
considering
two
sources,
wind
photovoltaic
using
stand.
It
considered
testing
platform
production
systems,
power
installed
sources
scaled
up.
The
advantage
allowing
implementation
different
load
curves
through
programmable
logic
controller;
this
way,
it
is
possible
to
evaluate
degree
coverage
consumption
produced
from
north-east
Romania,
Suceava
County
region.
study
also
involves
storage
capacity
relation
electricity
sources.
regard,
three
scenarios
differentiated
state
charge
(30%,
50%
70%)
have
been
established.
results
indicate
that,
each
imposed
scenarios,
required
(42%,
47%
53%),
which
stored
batteries
(39%,
28%
18%)
added.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(4), P. 3270 - 3270
Published: Feb. 10, 2023
Estimating
wind
energy
at
a
specific
site
depends
on
how
well
the
real
data
in
that
area
can
be
represented
using
an
appropriate
distribution
function.
In
fact,
sites
differ
extent
to
which
their
from
one
region
another,
despite
widespread
use
of
Weibull
function
representing
speed
various
locations
world.
this
study,
new
probability
model
(normal
PDF)
was
tested
implement
several
Jordan.
The
results
show
high
compatibility
between
and
resources
Therefore,
used
estimate
values
extracted
turbines
compared
those
obtained
by
PDF.
Several
artificial
intelligence
techniques
were
(GA,
BFOA,
SA,
neuro-fuzzy
method)
predict
parameters
both
normal
PDFs
reflected
conjunction
with
actual
observed
probabilities.
Afterward,
goodness
fit
decided
aid
two
performance
indicators
(RMSE
MAE).
Surprisingly,
(PDF)
outstripped
PDF,
interestingly,
BFOA
SA
most
accurate
methods.
last
stage,
machine
learning
classify
error
level
estimated
based
trained
PDF
parameters.
proposed
novel
methodology
aims
parameters,
as
subsequent
calculation
phases
depend
proper
selection
these
Hence,
24
classifier
algorithms
study.
medium
tree
shows
best
accuracy
training
time
points
view,
while
ensemble-boosted
trees
poor
regarding
providing
correct
predictions.
Journal of Energy Resources Technology,
Journal Year:
2024,
Volume and Issue:
146(9)
Published: May 10, 2024
Abstract
The
issues
in
integrating
renewable
energy
sources
(RES)
into
distribution
grid
structures
are
thoroughly
examined
this
research.
It
highlights
how
important
integration
is
to
updating
the
system
and
attaining
environmental
goals.
study
explores
specific
problems
confronted
by
means
of
on-grid
power
structures,
along
with
overall
performance
metrics
compatibility
issues.
Additionally,
it
presents
a
thorough
assessment
attributes
various
RES
hybrid
systems,
together
technology
from
fields
solar,
wind,
batteries,
biomass.
To
be
able
spotlight
significance
innovative
solutions
inside
dispersed
environment,
combined
heat
investigated.
This
addresses
numerous
better
comprehend
their
intricacies.
viability
supported
real-world
case
studies
that
provide
operational
examples
generation
systems.
concludes
discussing
technical,
financial,
grid-related
associated
distributed
generating
systems'
limits
highlighting
contribution
cutting-edge
artificial
intelligence
removal.
In
conclusion,
report
development
toward
smarter
grids
improved
capacities
as
essential
component
robust
sustainable
future.
Energies,
Journal Year:
2021,
Volume and Issue:
14(22), P. 7806 - 7806
Published: Nov. 22, 2021
This
article
contains
a
review
of
essential
control
techniques
for
maximum
power
point
tracking
(MPPT)
to
be
applied
in
photovoltaic
(PV)
panel
systems.
These
devices
are
distinguished
by
their
capability
transform
solar
energy
into
electricity
without
emissions.
Nevertheless,
the
efficiency
can
enhanced
provided
that
suitable
MPPT
algorithm
is
well
designed
obtain
performance.
From
analyzed
algorithms,
four
different
types
were
chosen
an
experimental
evaluation
over
commercial
PV
system
linked
boost
converter.
As
reference
corresponds
depended
on
irradiation
and
temperature,
artificial
neural
network
(ANN)
was
used
as
generator
where
high
accuracy
achieved
based
real
data.
tool
implementation
sliding
mode
controller
(SMC),
fuzzy
logic
(FLC)
model
predictive
(MPC).
The
outcomes
allowed
conclusions
each
has
advantages
disadvantages
depending
various
factors
related
hardware
software.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(10), P. 6077 - 6077
Published: May 17, 2022
In
mounted
photovoltaic
(PV)
facilities,
energy
output
losses
due
to
inter-row
shading
are
unavoidable.
order
limit
the
shadow
cast
by
one
module
row
on
another,
sufficient
space
must
be
planned.
However,
it
is
not
uncommon
see
PV
plants
with
such
close
spacing
that
occur
owing
row-to-row
effects.
Low
prices
and
high
ground
costs
lead
configurations,
so
maximum
per
available
surface
area
prioritized
over
optimum
production
peak
power.
For
any
applications
where
plant
power
needs
calculated,
an
exact
analysis
of
influence
generation
required.
this
paper,
effective
methodology
proposed
discussed
in
detail,
ultimately,
enable
system
designers
identify
optimal
between
arrays
generating
a
multiplier
factor.
The
factor
mathematically
formulated
generated
general
formula
for
geographical
location
including
flat
non-flat
terrains.
developed
model
implemented
using
two
case
studies
different
terrains,
provide
wider
context.
first
Kingdome
Saudi
Arabia
(KSA)
provinces,
giving
terrain
study;
estimated
direct
use
systems
designer.
second
water
pump
agricultural
watering
renewable
sources,
study
Dhamar,
Al-Hada,
Yemen.
study,
limited-area
applications.
Therefore,
minimized
each
other
avoided,
simple
design
methodology.
Electric Power Components and Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Jan. 9, 2024
An
innovative
cutting-edge
smart
grid
system
that
integrates
Internet
of
Things
(IoT)
with
Blockchain
technology
is
presented
in
this
work.
The
harnesses
the
potential
Renewable
Energy
Sources
(RESs)
like
Photovoltaic
(PV)
and
Wind
Conversion
System
(WECS)
to
meet
growing
energy
demands.
Edge
computing
enabled
IoT
sharded
blockchain
proposed
strengthen
functionality
grid.
Moreover,
infrastructure
enables
seamless
communication
coordination
between
various
components,
facilitating
optimal
generation,
consumption,
management.
Furthermore,
implementation
architecture
ensures
secure
transparent
transactions
within
ecosystem.
represents
significant
advancement
renewable
integration,
combining
PV,
WECS,
Storage
(ESS)
edge
blockchain.
Through
rigorous
simulation
analysis,
remarkable
advantages
these
innovations
are
quantified.
integration
enhances
transaction
throughput
by
300%,
achieving
5000
per
second,
while
reducing
confirmation
latency
3
s.
It
maintains
99.9%
data
integrity,
achieves
98%
privacy
compliance
via
encryption,
exhibits
robust
resilience
against
cyber
threats,
securing
energy-related
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 8, 2025
Hybrid
energy
systems
(HESs)
are
integrated
that
have
successfully
addressed
the
problems
of
meeting
increasing
demand
for
electrical
power.
Like
all
known
power
systems,
and
stream
quality
among
most
important
issues
in
addition
to
durability
HES.
In
this
study,
battery-powered
HES
is
presented,
where
designed
system
consists
a
wind
photovoltaic
(PV)
system.
The
strategy
maximum
point
(MPP)
tracking
(MPPT)
based
on
adaptive
neuro-fuzzy
inference
(ANFIS)
method
used
command
PV
system,
MPPT
neural
used.
These
proposed
strategies
do
not
need
mathematical
model
studied
augment
robustness
stability,
performance
great.
Also,
fractional-order
proportional-integral
regulator
integral
sliding
mode
control
approach
combined
battery-based
storage
particle
swarm
optimization
was
estimate
gain
values
resulting
controller.
realized
using
MATLAB,
competence
tested
under
different
work
scenarios.
results
showed
excellent
efficacy
were
compared
with
conventional
control.
simulation
case
speed
being
12
m/s,
rise
time,
response
MPP,
steady-state
error
(SSE)
improved
by
rates
estimated
at
99.32%,
60%,
1.5%,
respectively
perturbations
observations-based
approach.
Compared
traditional
strategy,
ANFIS-MPPT
improves
SSE,
time
irradiation,
which
takes
value
1000
W/m2,
percentages
18%,
94.70%,
69.23%,
respectively.
PSO-FOPI-ISMC
harmonic
distortion
current
second
test
55.20%
72.90%
1
2,
respectively,
make
great
importance
future
other
industrial
applications.
Complexity,
Journal Year:
2022,
Volume and Issue:
2022(1)
Published: Jan. 1, 2022
This
work
presents
a
distributed
generation
system
(DG)
that
combines
of
wind
turbine
(WT)
and
photovoltaic
(PV)
using
unified
power
quality
conditioner
(UPQC).
Along
with
providing
active
(AP)
to
the
utility
grid,
Wind‐PV‐UPQC
improves
PQ
indicators,
for
example,
voltage
drops/surges,
harmonics
grid
voltages,
PF.
Since
depends
on
dual
compensation
scheme,
parallel
converter
works
as
sinusoidal
source,
while
series
current
source.
In
this
way,
smooth
transition
from
operation
island
vice
versa
can
be
achieved
without
load
transitions.
addition,
in
order
overcome
problems
through
abrupt
solar
radiation
or
speed
variations,
faster
balance
is
between
turbines,
PV
array,
FFCL
pursue
production
references
converter.
Consequently,
dynamic
reactions
currents
dc
bus
are
enhanced.
A
comprehensive
analysis
flow
AP
converters
done
ensure
proper
understanding
how
works.
Finally,
simulation
results
shown
estimate
static
performance
conjunction
distribution
system.
