Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 14, 2024
Photovoltaic
(PV)-based
power
generation
systems
are
becoming
increasingly
popular
as
a
due
to
its
high
performance
and
cleanliness.
Several
factors
influence
the
of
PV
system,
including
shadowing
effects.
employ
MPPT
methodologies
obtain
from
array.
Conventional
MPPTs
works
well
under
normal
conditions
when
there
is
no
shadow
effects
or
partial
shading.
The
presence
shading
affects
system
generates
several
peaks.
This
complicates
process
finding
out
global
peak
(GMPP)
with
improved
tracking
efficiency
reduced
settling
time
conversion
efficiency.
work
proposes
three
hybrid
techniques:
Water
Cycle
Optimisation-Perturb
Observe
(WCO-PO),
Artificial
Neural
Network
Supported
Adaptable
Stepped-Scaled
Perturb
(ANN-ASSPO),
Grey
Wolf
Optimisation-Modified
Fast
Terminal
Sliding
Mode
Controller
(GWO-MFTSMC),
two
conventional
techniques
WCO
P&O
have
been
implemented.
proposed
utilizes
interleaved
boost
converter
phase.
performances
strategies
were
compared
in
terms
output
voltage,
current
extracted
power.
comparison
also
includes
average
time.
To
analyse
performances,
four
different
cases
used
test
efficacy
changing
climatic
conditions.
MATLAB/Simulink
tool
has
analyze
performances.
In
techniques,
WCO-PO
performed
better
other
(99.56%)
(1.4
m).
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 20, 2024
Integration
renewable
energy
sources
into
current
power
generation
systems
necessitates
accurate
forecasting
to
optimize
and
preserve
supply-demand
restrictions
in
the
electrical
grids.
Due
highly
random
nature
of
environmental
conditions,
prediction
PV
has
limitations,
particularly
on
long
short
periods.
Thus,
this
research
provides
a
new
hybrid
model
for
based
fusing
multi-frequency
information
different
decomposition
techniques
that
will
allow
forecaster
provide
reliable
forecasts.
We
evaluate
insights
performance
five
multi-scale
algorithms
combined
with
deep
convolution
neural
network
(CNN).
Additionally,
we
compare
suggested
combination
approach's
existing
forecast
models.
An
exhaustive
assessment
is
carried
out
using
three
grid-connected
plants
Algeria
total
installed
capacity
73.1
MW.
The
developed
strategy
displayed
an
outstanding
performance.
comparative
analysis
proposed
method
stand-alone
other
hybridization
proves
its
superiority
terms
precision,
RMSE
varying
range
[0.454-1.54]
studied
stations.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 21, 2024
Recently,
the
integration
of
renewable
energy
sources,
specifically
photovoltaic
(PV)
systems,
into
power
networks
has
grown
in
significance
for
sustainable
generation.
Researchers
have
investigated
different
control
algorithms
maximum
point
tracking
(MPPT)
to
enhance
efficiency
PV
systems.
This
article
presents
an
innovative
method
address
problem
systems
amidst
swiftly
changing
weather
conditions.
MPPT
techniques
supply
load
during
irradiance
fluctuations
and
ambient
temperatures.
A
novel
optimal
model
reference
adaptive
controller
is
developed
designed
based
on
MIT
rule
seek
global
without
ripples
rapidly.
The
suggested
also
optimized
through
two
popular
meta-heuristic
algorithms:
genetic
algorithm
(GA)
whale
optimization
(WOA).
These
approaches
been
exploited
overcome
difficulty
selecting
adaptation
gain
MRAC
controller.
voltage
generated
study
neuro-fuzzy
inference
system.
controller's
performance
tested
via
MATLAB/Simulink
software
under
varying
temperature
radiation
circumstances.
Simulation
carried
out
using
a
Soltech
1sth-215-p
module
coupled
boost
converter,
which
powers
resistive
load.
Furthermore,
emphasize
recommended
algorithm's
performance,
comparative
was
done
between
GA
WOA
conventional
incremental
conductance
(INC)
method.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 8, 2024
Abstract
This
paper
proposes
an
innovative
approach
to
improve
the
performance
of
grid-connected
photovoltaic
(PV)
systems
operating
in
environments
with
variable
atmospheric
conditions.
The
dynamic
nature
parameters
poses
challenges
for
traditional
control
methods,
leading
reduced
PV
system
efficiency
and
reliability.
To
address
this
issue,
we
introduce
a
novel
integration
fuzzy
logic
sliding
mode
methodologies.
Fuzzy
enables
effectively
handle
imprecise
uncertain
data,
allowing
decision-making
based
on
qualitative
inputs
expert
knowledge.
Sliding
control,
known
its
robustness
against
disturbances
uncertainties,
ensures
stability
responsiveness
under
varying
Through
these
methodologies,
our
proposed
offers
comprehensive
solution
complexities
posed
by
real-world
dynamics.
We
anticipate
applications
across
various
geographical
locations
climates.
By
harnessing
synergistic
benefits
promises
significantly
enhance
reliability
presence
On
grid
side,
both
PSO
(Particle
Swarm
Optimization)
GA
(Genetic
Algorithm)
algorithms
were
employed
tune
current
controller
PI
(Proportional-Integral)
(inverter
control).
Simulation
results,
conducted
using
MATLAB
Simulink,
demonstrate
effectiveness
hybrid
MPPT
technique
optimizing
system.
exhibits
superior
tracking
efficiency,
achieving
convergence
time
0.06
s
99.86%,
less
oscillation
than
classical
methods.
comparison
other
techniques
highlights
advantages
approach,
including
higher
faster
response
times.
simulation
outcomes
are
analyzed
strategies
sides
(the
array
side).
Both
offer
effective
methods
tuning
controller.
According
considered
IEEE
standards
low-voltage
networks,
total
harmonic
distortion
values
(THD)
obtained
considerably
high
(8.33%
10.63%,
algorithms,
respectively).
Comparative
analyses
terms
stability,
rapid
changes.
ChemBioEng Reviews,
Journal Year:
2024,
Volume and Issue:
11(4)
Published: May 2, 2024
Abstract
Despite
the
increasing
global
need
for
sustainable
energy,
biomass
gasification
is
becoming
a
highly
promising
method
transforming
raw
into
usable
energy.
The
present
review
article
analyzes
essential
aspects
of
biomass‐based
energy
production,
starting
with
an
assessment
existing
needs
and
crucial
contribution
that
can
make
in
fulfilling
these
demands.
research
investigates
recent
advancements
several
methods,
explaining
their
mechanics
discussing
related
difficulties.
conducts
thorough
evaluation
efficiency,
yield,
environmental
consequences
gasification,
aiming
to
determine
feasibility
technique.
In
addition,
study
rigorously
assesses
techno‐economic
factors
generation
from
biomass,
providing
valuable
information
on
economic
viability
scalability
various
techniques.
focused
comprehensive
understanding
by
analyzing
current
improvements
conducting
comparison
well‐informed
decisions
future.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 4, 2024
Abstract
This
research
discusses
the
solar
and
wind
sourcesintegration
in
aremote
location
using
hybrid
power
optimization
approaches
a
multi
energy
storage
system
with
batteries
supercapacitors.
The
controllers
PV
turbine
systems
are
used
to
efficiently
operate
maximum
point
tracking
(MPPT)
algorithms,
optimizing
overall
performance
while
minimizing
stress
on
components.
More
specifically,
generator,
provided
method
integrating
Perturb
&
Observe
(P&O)
Fuzzy
Logic
Control
(FLC)
methods.
Meanwhile,
for
turbine,
proposed
approach
combines
P&O
FLC
These
MPPT
strategies
photovoltaic
(PV)
aim
optimize
its
operation,
taking
advantage
of
complementary
features
two
While
primary
these
is
both
therefore
system,
they
also
supply
electricity
load.
For
storage,
this
isolated
renewable
play
crucial
role
due
several
specific
benefits
reasons.
Unfortunately,
their
density
still
relatively
lower
compared
some
other
forms
storage.
Moreover,
have
limited
number
charge–discharge
cycles
before
capacity
degrades
significantly.
Supercapacitors
(SCs)
provide
significant
advantages
certain
applications,
particularly
those
that
need
density,
quick
charging
discharging,
long
cycle
life.
However,
limitations,
such
as
voltage
requirements,
make
them
most
effective
when
combined
technologies,
batteries.
Furthermore,
enhanced,
result
more
dependable
cost-effective
(HESS).
paper
introduces
novel
algorithm
management
designed
an
efficient
control.
it
focuses
managing
keep
state
charge
(SOC)
within
defined
range.
simple
effective.
ensures
longevity
SCs
maximizing
performance.
results
reveal
suggested
successfully
keeps
limits
(SOC).
To
show
significance
design
choices
impact
battery’s
SOC,
which
components,
comparison
been
made.
A
classical
one
(PV/wind
turbine/batteries)
HESS
batteries).
scenario
investigated
resources
appears
be
optimum
solution
areas
where
complementary.
balance
between
seems
contribute
less
potentially
leading
longer
lifespan.
An
economical
study
has
made,
Homer
Pro
software,
feasibility
studied
area.
