Uncertainty Optimization of Industrial Production Operations Considering the Stochastic Performance of Control Loops
Ling Li,
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Junlin Xiang,
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Shu Liu
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et al.
Processes,
Journal Year:
2025,
Volume and Issue:
13(1), P. 113 - 113
Published: Jan. 4, 2025
Process
optimization
is
a
highly
successful
method
for
achieving
optimal
efficiency
in
industrial
production.
The
conventional
approach
presupposes
that
the
operational
parameters
should
align
with
settings.
However,
it
fails
to
consider
that,
influenced
by
stochastic
performance
of
control
loops,
operating
may
deviate
from
Consequently,
this
results
violation
constraints
and
affects
production
safety.
Therefore,
paper
proposes
an
uncertainty
considers
loops
accurately
determine
can
be
practically
achieved
Firstly,
multi-optimization
variational
mode
decomposition
strategy
developed
precisely
extract
smooth
random
trend
terms
loop
output
data.
Secondly,
grouping
smooths
out
characterizes
associated
these
terms.
Subsequently,
moment
set
mild
mean-zero
net
condition
then
defined
construct
improved
distribution
robust
model
considering
loops.
Finally,
validation
proposed
actual
hydrocracking
process
shows
error
reduced
more
than
10%,
constraint
rate
14%,
which
fully
proves
effectiveness
applicability
method.
Language: Английский
A Microgrid Simulation Platform Based on Cyber-Physical Technology
Processes,
Journal Year:
2025,
Volume and Issue:
13(5), P. 1441 - 1441
Published: May 8, 2025
With
the
transformation
of
energy
structure
and
development
new
power
systems,
higher
requirements
have
been
put
forward
for
performance
stability
microgrids.
To
adapt
to
multi-information,
multi-energy,
multi-business
characteristics
microgrids,
this
paper
proposes
a
cyber-physical
system
(CPS)
based
microgrid
simulation
platform,
which
constructs
an
integration
architecture
composed
physical
system,
main
station
strategy
system.
Through
interaction
information
businesses,
real-time
reproduction
state
control
business
scenarios
are
achieved.
The
platform
innovatively
introduces
theory
finite
machine
(FSM)
designs
transition
strategy.
Taking
fault
optimization
as
example,
optimal
path
can
be
selected
through
transition,
effect
is
improved
on
FSM.
Compared
traditional
methods,
reduces
time
by
16%
86.6%,
significantly
shortening
scene
time.
In
addition,
practical
application
value
in
operational
efficiency
improvement
was
verified
building
semi-physical
rapid
prototype
(RCP)
hardware-in-the-loop
testing
(HIL).
Language: Английский