The
wind
energy
is
characterized
by
randomness
and
volatility.,
which
gives
rise
to
certain
power
prediction
(WPP)
errors
seriously
endangers
the
security
stability
of
system.
Dynamic
linear
model
based
on
storage
system
(ESS)
compensating
error
for
studied
in
this
paper.
Firstly,
an
outlier
cleaning
method
change-point
group
quartile
(CPGQ)
algorithm
proposed
improve
availability
data,
conducive
follow-up
information
mining.
Then,
sake
adapting
complex
mechanism
strong
nonlinearity
generation
process,
just
time
learning
(JITL)
dynamic
approximate
nonlinear
process
through
a
series
processes.
In
addition,
order
reduce
WPP
error,
control
strategy
considering
state
capacity
(SOC)
variation
ESS
proposed.
Finally,
feasibility
superiority
are
demonstrated
application
examples.
International Journal of Electrical Power & Energy Systems,
Journal Year:
2023,
Volume and Issue:
154, P. 109420 - 109420
Published: Aug. 17, 2023
The
integration
of
energy
systems
(IES)
enhances
the
interaction
between
electricity,
gas,
and
heat
systems,
concept
low-carbon
development
can
further
reduce
carbon
emissions
IES.
However,
uncertainty
wind
power
output
complexity
different
chains
pose
significant
challenges
to
operation
Therefore,
this
paper
proposes
a
economic
dispatching
strategy
for
IES
containing
electric
hydrogen
production
based
on
short-term
prediction.
Firstly,
variational
mode
decomposition-
gate
recurrent
unit
network
prediction
model
is
employed
enhance
accuracy
ultra-short
forecasting,
which
reduces
impact
grid
connection.
Secondly,
refined
two-stage
P2G
refining
device
constructed
decrease
Thirdly,
thermoelectric
integrated
demand
response
established
adjust
proportion,
reducing
IES's
emissions.
Finally,
case
study
performed
IEEE
standard
system
verify
effectiveness
proposed
strategy.
Simulation
analysis
shows
that
introducing
electrolysis
by
12.90%.
In
addition,
an
adjustable
thermal-electric
comprehensive
1.543%
while
lowering
overall
cost
5.24%.
strategies
simultaneously
consider
aspects
Applied Energy,
Journal Year:
2023,
Volume and Issue:
357, P. 122284 - 122284
Published: Dec. 12, 2023
Virtual
power
plants
(VPPs)
have
become
an
important
technological
means
for
large-scale
distributed
energy
resources
to
participate
in
the
operation
of
systems
and
electricity
markets.
However,
VPPs
is
challenged
by
stochastic
resource
characteristics,
complex
control
features,
heterogeneous
information
structures,
strategic
game
behaviors
among
stakeholders.
To
clarify
key
problems
solutions
these
challenges,
this
article
describes
coordination
multidimensional
interaction
mechanism,
it
elaborates
overall
decision-making
process
VPPs.
It
also
discusses
different
specific
operational
stages
that
should
attach
importance
from
three
separate
perspectives:
energy,
market.
From
each
perspective,
every
section
first
analyzes
motivation
decision-making,
then
complexity
problem
models,
summarizes
modeling
methods
solving
techniques,
thus
completing
a
comprehensive
review
VPP
operation.
Furthermore,
adopts
interdisciplinary
approach,
utilizing
literature
technical
statistics
capture
multifaceted
contributions
operations.
delves
into
evolving
trends
technology,
analyzed
coupling
cyber-physical-social
perspective.
Finally,
future
trajectory
research
issues
deliberated.
Processes,
Journal Year:
2025,
Volume and Issue:
13(1), P. 101 - 101
Published: Jan. 3, 2025
Pumped
storage
power
stations
not
only
serve
as
a
special
load
but
also
store
excess
electricity
from
the
system,
significantly
reducing
curtailment
of
wind
and
solar
power.
This
dual
function
ensures
stable
operation
grid
enhances
its
economic
benefits.
The
scheduling
optimization
problem
combined
wind–solar–pumped
system
is
addressed
in
this
study,
an
model
proposed
with
objective
maximizing
total
revenue.
designed
to
comprehensively
account
for
generation
revenues
power,
photovoltaic
thermal
pumped
storage,
well
penalty
costs
associated
pollutant
emissions.
To
address
limitations
traditional
algorithms,
which
are
prone
being
trapped
local
optima
exhibit
slow
convergence,
improved
bat
algorithm
was
developed.
enhanced
through
use
chaotic
mapping
expand
initial
solution
space,
incorporation
adaptive
step-size
updates
improve
convergence
efficiency,
integration
Cauchy
strengthen
global
search
capabilities,
thereby
effectively
avoiding
optima.
Simulation
results
have
demonstrated
that
achieves
significant
improvements
over
algorithms
particle
swarm
(PSO)
terms
revenue
increases
21.9%
24.6%,
respectively.
optimized
plan
shown
fully
utilize
flexible
regulation
capabilities
mitigating
adverse
effects
output
fluctuations
on
operations
achieving
balanced
trade-off
between
environmental
objectives.
Energies,
Journal Year:
2025,
Volume and Issue:
18(3), P. 580 - 580
Published: Jan. 26, 2025
Accurate
wind
power
forecasting
is
crucial
for
optimizing
grid
scheduling
and
improving
utilization.
However,
real-world
time
series
exhibit
dynamic
statistical
properties,
such
as
changing
mean
variance
over
time,
which
make
it
difficult
models
to
apply
observed
patterns
from
the
past
future.
Additionally,
execution
speed
high
computational
resource
demands
of
complex
prediction
them
deploy
on
edge
computing
nodes
farms.
To
address
these
issues,
this
paper
explores
potential
linear
constructs
NFLM,
a
linear,
lightweight,
short-term
model
that
more
adapted
characteristics
data.
The
captures
both
long-term
sequence
variations
through
continuous
interval
sampling.
mitigate
interference
features,
we
propose
normalization
feature
learning
block
(NFLBlock)
core
component
NFLM
processing
sequences.
This
module
normalizes
input
data
uses
stacked
multilayer
perceptron
extract
cross-temporal
cross-dimensional
dependencies.
Experiments
with
two
real
farms
in
Guangxi,
China,
showed
compared
other
advanced
methods,
MSE
24-step
ahead
respectively
reduced
by
23.88%
21.03%,
floating-point
operations
(FLOPs)
parameter
count
only
require
36.366
M
0.59
M,
respectively.
results
show
can
achieve
good
accuracy
fewer
resources.
Advances in Applied Energy,
Journal Year:
2024,
Volume and Issue:
14, P. 100177 - 100177
Published: April 21, 2024
Wind
power
exhibits
low
controllability
and
is
situated
in
dispersed
geographical
locations,
presenting
complex
coupling
aggregation
characteristics
both
temporal
spatial
dimensions.
When
large-scale
wind
integrated
into
the
grid,
it
will
bring
a
significant
technical
challenge:
highly
variable
nature
of
poses
threat
to
safe
stable
control
power,
frequency,
voltage
system.
Simultaneously,
model
predictive
(MPC)
technology
provides
more
opportunities
for
investigating
issues
related
integration
systems.
This
paper
timely
systematic
overview
applications
MPC
field
first
time,
innovatively
embedding
multi-level
(e.g.,
turbines,
farms,
cluster,
grids)
multi-objective
voltage)
control.
Firstly,
basic
concept
classification
criteria
are
developed,
available
modeling
methods
carefully
compared.
Secondly,
application
scenarios
summarized.
Finally,
how
use
variety
optimization
algorithms
solve
these
models
discussed.
Based
on
broad
review
above,
we
summarize
several
key
scientific
discuss
challenges
future
development
directions
detail.
details
role
within
sector,
aiming
help
engineers
scientists
understand
its
substantial
potential
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(10), P. 5386 - 5386
Published: May 12, 2025
The
volatility
and
uncertainty
of
wind
power
output
pose
significant
challenges
to
the
safe
stable
operation
systems.
To
enhance
economic
efficiency
reliability
day-ahead
scheduling
in
farms,
this
paper
proposes
a
planning
method
for
wind/storage
systems
based
on
multi-scenario
generation
Conditional
Value-at-Risk
(CVaR).
First,
statistical
characteristics
historical
forecasting
errors,
kernel
density
estimation
is
used
fit
error
distribution.
A
Copula-based
correlation
model
then
constructed
generate
sequences
that
account
spatial
correlation,
from
which
representative
scenarios
are
selected
via
K-means
clustering.
An
objective
function
subsequently
formulated,
incorporating
electricity
sales
revenue,
energy
storage
maintenance
cost,
initial
state-of-charge
(SOC)
peak–valley
arbitrage
income,
penalties
schedule
deviations.
SOC
system
introduced
as
decision
variable
enable
flexible
efficient
coordinated
system.
implemented
using
1500
kWh/700
kW
lithium
iron
phosphate
(LiFePO4)
battery
operational
flexibility
reliability.
mitigate
severe
profit
fluctuations
under
extreme
scenarios,
incorporates
CVaR-based
risk
constraint,
thereby
enhancing
plan.
Finally,
simulation
experiments
various
levels
confidence
conducted
validate
effectiveness
proposed
improving
performance
management
capability.
