The Robust Optimization of Low-Carbon Economic Dispatching for Regional Integrated Energy Systems Considering Wind and Solar Uncertainty
Mingguang Zhang,
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Bo Wang,
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Juan Wei
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et al.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(17), P. 3480 - 3480
Published: Sept. 2, 2024
In
this
paper,
a
two-stage
robust
optimization
approach
is
employed
to
address
the
variability
in
renewable
energy
output
by
accounting
for
uncertainties
associated
with
wind
and
solar
energy.
The
model
aims
achieve
balanced
system
that
both
low-carbon
economically
efficient
while
also
being
resilient
uncertainties.
Initially,
regional
integrated
developed,
integrating
electricity,
gas,
heat.
of
photovoltaic
power
outputs
represented
using
modifiable
uncertainty
set.
A
optimal
scheduling
formulated
two
stages,
objective
minimizing
costs
under
worst-case
scenarios.
This
solved
iteratively
through
column
constraint
generation
approach.
Additionally,
incorporates
horizontal
time
shifts
vertical
complementary
substitutions
carbon
trading
demand-side
loads
avoid
excessive
conservatism
manage
emissions
(RIES).
Results
show
significantly
enhances
system’s
resilience
risks
minimizes
economic
losses.
inclusion
mechanisms
demand
response
prevents
from
becoming
overly
robust,
which
could
impede
growth,
reducing
emissions.
proposed
method
effectively
achieves
economical,
system.
Language: Английский
Two-layer optimization model of distribution network line loss considering the uncertainty of new energy access
Xiping Ma,
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Xiaoyang Dong,
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Haitao Xiao
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et al.
Frontiers in Energy Research,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 22, 2025
The
integration
of
a
distributed
generator
(DG)
into
the
distribution
network
alters
topology
structure
and
power
flow
distribution,
subsequently
causing
changes
in
loss.
Moreover,
existing
optimization
methods
face
high
computational
complexity,
low
efficiency,
susceptibility
to
local
optima.
This
article
proposes
scenario
generation
method
using
generative
adversarial
(GAN)
handle
uncertainty
associated
with
DGs
constructs
two-layer
model
for
network.
upper
layer
determines
installation
location
capacity
energy
storage
systems
lowest
economic
cost.
lower
establishes
an
model,
including
wind,
solar,
storage,
active
loss
voltage
deviation
as
objective
functions.
Both
layers
are
solved
Improved
Whale
Optimization
algorithm
(IWOA).
Then,
IEEE-33
node
system
was
taken
simulation
example
verify
effectiveness
superiority
proposed
algorithm.
Language: Английский
Leveraging Electrochemical CO2 Reduction for optimizing comprehensive benefits of multi-energy systems: A collaborative optimization approach driven by energy-carbon integrated pricing
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135413 - 135413
Published: March 1, 2025
Language: Английский
Energy-carbon pricing-guided collaborative optimization for local integrated energy communities with multi-vector electrification consumers
Yufei Xi,
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Lujie Zuo,
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Meng Chen
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et al.
Applied Energy,
Journal Year:
2025,
Volume and Issue:
392, P. 125946 - 125946
Published: April 29, 2025
Language: Английский
Modeling and Simulation of Electric–Hydrogen Coupled Integrated Energy System Considering the Integration of Wind–PV–Diesel–Storage
Shuguang Zhao,
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Yuqiang Han,
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Qicheng Xu
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et al.
Modelling—International Open Access Journal of Modelling in Engineering Science,
Journal Year:
2024,
Volume and Issue:
5(4), P. 1936 - 1960
Published: Dec. 5, 2024
Hydrogen
energy
plays
an
increasingly
vital
role
in
global
transformation.
However,
existing
electric–hydrogen
coupled
integrated
systems
(IESs)
face
two
main
challenges:
achieving
stable
operation
when
with
large-scale
networks
and
integrating
optimal
dispatching
code
physical
systems.
This
paper
conducted
comprehensive
modeling,
optimization
joint
simulation
verification
of
the
above
IES.
Firstly,
a
low-carbon
economic
model
IES
considering
carbon
capture
power
plants
is
established
at
layer.
Secondly,
by
organizing
selecting
representative
data
dispatch
model,
planning
integration
wind,
photovoltaic
(PV),
diesel
storage
constructed
The
proposed
coupling
mainly
consists
following
components:
alkaline
electrolyzer,
high-pressure
hydrogen
tank
compressor
proton
exchange
membrane
fuel
cell.
this
achieved
mode
system
can
maintain
control
despite
unpredictable
changes
renewable
sources,
showing
strong
resilience
reliability.
also
integrate
for
operation,
enhancing
utilization
absorption
PV
wind
power.
Co-simulation
showed
that
optimized
has
29.42%
reduction
total
cost
83.66%
decrease
emissions.
Meanwhile,
proved
system’s
harmonic
distortion
rate
controlled
below
3%
both
grid-connected
islanded
modes,
indicating
good
quality.
Language: Английский
Optimal Scheduling of Zero-Carbon Parks Considering Flexible Response of Source–Load Bilaterals in Multiple Timescales
Processes,
Journal Year:
2024,
Volume and Issue:
12(12), P. 2850 - 2850
Published: Dec. 12, 2024
In
order
to
enhance
the
carbon
reduction
potential
of
a
park,
low-carbon
economic
dispatch
method
applicable
zero-carbon
parks
is
proposed
optimize
energy
park
at
multiple
timescales;
this
achieved
by
introducing
flexible
response
mechanism
for
source–load
bilaterals,
so
as
achieve
low-carbon,
economic,
and
efficient
operation.
First,
model
that
accounts
flow
characteristics
distribution
hub
established.
Then,
based
on
operation
supply
equipment
multi-type
integrated
demand
response,
bilaterally
multi-timescale
scheduling
framework
are
proposed;
mechanisms
coordination
electricity–carbon
coupling
analyzed
in
depth.
Finally,
with
objective
optimal
system
economy,
established
three
timescales,
namely,
day-ahead,
intraday,
real-time
scheduling.
The
output
optimized
step
according
prediction
information
results
each
stage.
simulation
show
can
effectively
utilize
source
load
resources
participate
reduce
emissions
while
ensuring
realizing
system.
Therefore,
study
provides
new
theoretical
basis
practical
solution
parks,
which
helps
promote
development
economy.
Language: Английский