Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions
Frontiers in Energy Research,
Год журнала:
2023,
Номер
11
Опубликована: Ноя. 2, 2023
The
increasing
demand
for
solar
renewable
energy
resources,
driven
by
the
global
crisis
and
depletion
of
conventional
sources,
has
underscored
importance
harnessing
energy.
Solar
photovoltaic
(PV)
systems,
however,
exhibit
nonlinear
output
power
due
to
their
weather-dependent
nature,
impacting
overall
system
efficiency.
This
study
focuses
on
development
comparative
analysis
three
intelligent
Maximum
Power
Point
Tracking
(MPPT)
controllers
using
MATLAB
Simulink.
employ
distinct
methodologies,
namely,
Artificial
Neural
Networks
(ANN),
Adaptive
Fuzzy
Inference
System
(ANFIS),
Logic
Controller
(FLC).
results
demonstrate
that
ANFIS
achieved
highest
accuracy
at
99.50%,
surpassing
ANN
FLC
with
accuracies
97.04%
98.50%,
respectively,
thus
establishing
as
superior
MPPT
controller.
Additionally,
positives
negatives
all
MPPT-based
algorithms
are
also
compared
in
this
work.
Язык: Английский
An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System
Engineering Reports,
Год журнала:
2025,
Номер
7(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Power
system
stability
is
crucial
for
the
reliable
and
efficient
operation
of
electrical
grids.
One
key
factors
affecting
power
frequency
alternating
current
(AC)
while
connected
with
High
Voltage
Direct
Current
(HVDC)
transmission
system.
Changes
in
load
demand
can
lead
to
deviations,
which
have
detrimental
effects
on
performance
Frequency
should
therefore
be
controlled
within
predefined
limits
order
prevent
unexpected
disturbances
that
may
cause
problems
loads
or
even
entire
fail.
A
broad
simulation
model
HVDC
developed
using
MATLAB
software
evaluate
effectiveness
proposed
controllers
such
as
Adaptive
Neuro‐Fuzzy
Inference
System
(ANFIS),
Artificial
Neural
Network
(ANN),
optimization
Proportional‐Integral‐Derivative
(PID)
controller
Particle
Swarm
Optimization
(PSO)
based
control
strategy
addressing
instability
problems.
To
assess
how
well
ANFIS,
ANN,
PID‐PSO
controls
system,
several
situations
were
simulated,
including
changes
operational
circumstances.
The
result
reveals
ANN
performs
more
accurate
results
than
other
and,
displaying
its
capacity
successfully
reduce
deviations
maintained
a
50
Hz.
Adopted
method
suggested
easy
integration
AC
grid
enhances
quality
stability.
Язык: Английский
The impact and carbon reduction effect on biomass energy in power system
Biomass Conversion and Biorefinery,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 8, 2025
Язык: Английский
PINN and KAN temperature prediction of carbon Fiber/Epoxy composite materials irradiated by nuclear environment simulated intense heat fluxes
Annals of Nuclear Energy,
Год журнала:
2025,
Номер
unknown, С. 111454 - 111454
Опубликована: Апрель 1, 2025
Язык: Английский
A bibliometric analysis of research trends in electric vehicle power electronics: global perspectives and future directions
Deleted Journal,
Год журнала:
2025,
Номер
7(5)
Опубликована: Май 13, 2025
Язык: Английский
Demand side management through energy efficiency measures for the sustainable energy future of Pakistan
Heliyon,
Год журнала:
2024,
Номер
10(15), С. e34798 - e34798
Опубликована: Июль 21, 2024
Pakistan
is
facing
energy
crises
due
to
localized
shortages,
market
manipulation,
infrastructure
disruption,
rising
demand,
governance
issues,
climate
and
geopolitical
events.
In
this
situation
Demand
Side
Management
(DSM)
a
promising
solution
overcome
the
problem
of
crises.
DSM
strategy
helps
manage
consumer
demand
through
conservation
rather
than
addition
new
power
capacity.
study,
Low
Emissions
Analysis
Platform
(LEAP)
develops
an
model
for
period
2022-2050.
Three
scenarios
has
been
constructed
namely
Baseline
(BAS),
Green
Energy
Policy
(GEP),
Efficiency
(ENE)
predict
future
production,
carbon
emissions
investment
cost
which
covers
capital,
operational
maintenance
costs.
The
results
suggest
that
targets
should
be
achieved
implementation
ENE
scenario.
Predicted
production
consumption
under
scenario
are
substantially
less
those
BAS
country
can
meet
its
635.83,000
GWh
with
747.15,000
production.
Non-renewable
sources
produce
171.27,000
GWh,
whilst
renewable
575.88,000
GWh.
According
scenario,
by
2050,
CO
Язык: Английский
Spatial-temporal evolution characteristics and driving factors analysis of regional energy supply and demand in China
Energy Strategy Reviews,
Год журнала:
2024,
Номер
55, С. 101542 - 101542
Опубликована: Сен. 1, 2024
Язык: Английский
Demand-side management scenario analysis for the energy-efficient future of Pakistan: Bridging the gap between market interests and national priorities
Frontiers in Energy Research,
Год журнала:
2024,
Номер
12
Опубликована: Сен. 17, 2024
Pakistan
is
facing
the
worst
level
of
energy
and
economic
crisis
its
history.
The
underlying
reason
basically
due
to
crisis.
Various
approaches
have
been
adopted
tackle
crises
which
country
for
over
2
decades.
Demand-side
management
(DSM)
most
potent
cost-effective
option
redress
crisis,
which,
unfortunately,
has
neglected
strategy
in
Pakistan.
DSM
potential
save
up
10.0%–15.0%
primary
ensure
country’s
future
security.
Laws
codes
do
exist,
but
ironically,
vital
element
DSM’s
policy
framework
implementation
mechanism
missing.
Hence,
main
objective
this
research
develop
a
model
analyze
reference
scenarios.
Low-emission
analysis
platform
(LEAP)
used
Pakistan’s
study
period
2021–2050.
three
alternative
scenarios
developed
include
efficiency
(EEF),
conservation
(EC),
load
(LOM),
they
are
all
analyzed.
results
estimate
electricity
demand
forecast
1009.8
TWh
under
scenario
2050,
whereas
tends
result
26.38%
decreased
compared
scenario.
also
outperform
In
EC
reduces
consumption
by
178.0
GHG
emissions
19.20
million
metric
tons,
EEF
110.30
10.04
LOM
suggests
reduced
101.0
6.20
tons.
This
concluded
that
must
be
institutionalized
building
robust
regulatory
execution
at
government
utility
levels.
Язык: Английский
A deep learning technique Alexnet to detect electricity theft in smart grids
Frontiers in Energy Research,
Год журнала:
2023,
Номер
11
Опубликована: Ноя. 8, 2023
Electricity
theft
(ET),
which
endangers
public
safety,
creates
a
problem
with
the
regular
operation
of
grid
infrastructure
and
increases
revenue
losses.
Numerous
machine
learning,
deep
mathematical-based
algorithms
are
available
to
find
ET.
Still,
these
models
do
not
produce
best
results
due
problems
like
dimensionality
curse,
class
imbalance,
improper
hyper-parameter
tuning
learning
models,
etc.
We
present
hybrid
model
for
effectively
detecting
electricity
thieves
in
smart
grids
while
considering
abovementioned
concerns.
Pre-processing
techniques
first
employed
clean
up
data
from
meters.
Then,
feature
extraction
technique,
AlexNet,
addresses
curse
dimensionality.
The
effectiveness
proposed
method
is
evaluated
through
simulations
using
real
dataset
Chinese
intelligent
To
conduct
comparative
analysis,
various
benchmark
implemented
as
well.
Our
achieves
accuracy,
precision,
recall,
F1,
86%,
89%,
84%,
respectively.
Язык: Английский