IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 73620 - 73632
Published: Jan. 1, 2024
In
this
study,
an
operational
8
MW
wind
farm
was
analyzed
through
a
statistical
approach
to
determine
the
speed
and
feeder
trip
correlation
with
energy
loss
production.
December,
higher
potential
recorded;
however,
recorded
during
low
period
of
October,
maximum
duration
1800
min.
The
box
plot
histogram
show
that
occurred
at
4-6
m/s
which
indicates
grid
voltage
load
consumption
were
major
causes
trip.
Pearson
Correlation
method
expressed
similar
trend
for
trips
associated
losses
had
very
strong
positive
compared
time.
To
improve
stability
farm's
power
generation,
1-5
MWh
battery
storage
system
studied
its
impact
on
terminals.
It
found
411071.84
kWh
is
enhanced
5
conventional
farm.
This
enhancement
in
production
shows
factory,
village
1,
farm,
2,
3
range
0.703,
0.873,
0.665,
0.894,
0.896,
respectively.
Further,
economic
analysis
incorporation
increased
annual
revenue
2825585
baht
payback
7.79
years
return
investment
0.10
years.
Expert Systems,
Journal Year:
2024,
Volume and Issue:
41(12)
Published: Aug. 27, 2024
Abstract
This
paper
presents
a
comprehensive
review
of
the
most
recent
papers
and
research
trends
in
fields
wind
energy
artificial
intelligence.
Our
study
aims
to
guide
future
by
identifying
potential
application
areas
intelligence
machine
learning
techniques
sector
knowledge
gaps
this
field.
Artificial
offer
significant
benefits
advantages
many
sub‐areas,
such
as
increasing
efficiency
facilities,
estimating
production,
optimizing
operation
maintenance,
providing
security
control,
data
analysis,
management.
focuses
on
studies
indexed
Web
Science
library
between
2000
2023
using
sub‐branches
neural
networks,
other
methods,
mining,
fuzzy
logic,
meta‐heuristics,
statistical
methods.
In
way,
current
methods
literature
are
examined
produce
more
efficient,
sustainable,
reliable
energy,
findings
discussed
for
studies.
evaluation
is
designed
be
helpful
academics
specialists
interested
acquiring
broad
perspective
types
uses
seeking
what
subjects
needed
Results in Engineering,
Journal Year:
2022,
Volume and Issue:
16, P. 100667 - 100667
Published: Sept. 26, 2022
One
of
the
reasons
behind
low
rate
expansion
power
production
driven
by
wind
turbines
is
premature
failure
their
gearbox
bearings,
which
fail
within
first
quarter
designed
life.
The
leading
causes
fatigue
damage
in
turbine
bearings
(WTGBs)
are
not
well
recognized
despite
massive
studies
this
field.
initiates
as
subsurface
microcracks,
propagating
to
a
macro
scale
and
reaching
contact
surface.
For
that,
studying
microcracks
early
initiation
stage
(1–15
μm)
significantly
impacts
bearing
trigger.
This
study
based
on
evaluating
role
non-metallic
inclusions
voids
crack
initiation,
revealing
varying
parts
(maximum
shear
stress,
Von-Mises
traction
force)
initiation.
results
indicated
that
effect
inclusion
relatively
limited
cracking
regardless
sizes,
other
than
voids,
probably
have
considerable
propagation.
three
factors
(Von-Mises
maximum
played
significant
roles
cracks.
However,
there
an
urgent
need
improve
design
manufacturing
WTGBs
decrease
formation
carbides
revise
standards
for
both
(bearing
life
stress)
consider
actual
relative
effects
severe
operating
events.
One
of
the
key
automation
levels
in
every
industrial
system
is
Supervisory
Control
and
Data
Acquisition
(SCADA),
a
used
to
collect
data
from
processes,
visualize
them
users
an
adequate
form,
provide
monitoring
control
capabilities.
As
world
transitions
towards
more
advanced
interconnected
infrastructures,
potential
benefits
leveraging
machine
learning
algorithms
for
enhanced
monitoring,
control,
decision-making
SCADA
systems
become
evident.
This
paper
explores
integration
possibilities
models
within
modern
systems.
It
discusses
opportunities,
including
improved
anomaly
detection,
predictive
maintenance,
optimized
performance.
Simultaneously,
it
addresses
challenges
such
as
availability
quality
data,
security,
model
interpretability,
well
practical
implementation
challenges.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 73620 - 73632
Published: Jan. 1, 2024
In
this
study,
an
operational
8
MW
wind
farm
was
analyzed
through
a
statistical
approach
to
determine
the
speed
and
feeder
trip
correlation
with
energy
loss
production.
December,
higher
potential
recorded;
however,
recorded
during
low
period
of
October,
maximum
duration
1800
min.
The
box
plot
histogram
show
that
occurred
at
4-6
m/s
which
indicates
grid
voltage
load
consumption
were
major
causes
trip.
Pearson
Correlation
method
expressed
similar
trend
for
trips
associated
losses
had
very
strong
positive
compared
time.
To
improve
stability
farm's
power
generation,
1-5
MWh
battery
storage
system
studied
its
impact
on
terminals.
It
found
411071.84
kWh
is
enhanced
5
conventional
farm.
This
enhancement
in
production
shows
factory,
village
1,
farm,
2,
3
range
0.703,
0.873,
0.665,
0.894,
0.896,
respectively.
Further,
economic
analysis
incorporation
increased
annual
revenue
2825585
baht
payback
7.79
years
return
investment
0.10
years.
