Recently,
distributed
energy
resources
(DERs)
surges
up
due
to
their
profound
effect
on
network
flexibility
and
economic.
Nevertheless,
controlling
a
diverse
assortment
of
DERs
brings
significant
challenges
for
power
grid.
To
cover
these
challenges,
the
concept
virtual
plant
(VPP)
comes
into
being.
Due
ability
VPP
participate
in
electricity
market
exert
influence
clearing
price
(MCP)
by
submitting
offers/bids
purchase/sell
energy,
it
is
necessary
define
as
maker
unit.
this
end,
paper
develops
novel
bilevel
decision-making
framework
power-side
incorporating
refined
gas
(P2G)
process,
wherein
upper-level
cost
minimization
objective
VPP,
while
lower-level
social
wholesale
clearing.
Meanwhile,
wind
uncertainty
handled
robust
optimization
method
mitigate
its
operation.
By
utilizing
Karush-Kuhn
Tucker
optimality
condition
strong
duality
theory,
two-level
model
interpreted
tractable
single-level
mixed
integer
programming
model.
The
simulation
results
show
that:
relative
models
with
removing
consideration
P2G
device,1)
proposed
approach
realizes
outstanding
economic
benefit
obtaining
an
increase
rate
7.47%
105.09%
total
actual
profit.
For
environmental
benefit,
decline
carbon
emission
intensity.
2)
validation
manifested
data-driven
robustness
test.
Moreover,
exhibits
privileges
trade-off
between
conservativeness
computational
complexity.
provide
good
reference
participating
market.
IET Energy Systems Integration,
Journal Year:
2023,
Volume and Issue:
5(3), P. 275 - 289
Published: May 11, 2023
Abstract
To
achieve
carbon
neutrality,
renewable
energy‐based
power
systems
and
hydrogen
are
increasingly
being
promoted.
A
novel
electricity‐thermal‐hydrogen
integrated
energy
system
that
combines
new
generation,
multi‐source
load,
multiple
storage
is
proposed
by
the
authors.
address
uncertainties
in
output,
issues
of
untimely
unit
regulation
response
large
planning
tracking
errors,
a
multi‐scale
scheduling
method
based
on
model
predictive
control
(MPC)
was
proposed.
In
day‐ahead
dispatching
stage,
an
optimal
economic
established
with
lowest
operation
cost
as
optimisation
objective.
The
considers
equipment
investment,
operation,
maintenance,
peak‐to‐valley
differences
electricity
prices.
intraday
MPC‐based
rolling
correction
strategy
to
cope
contact
line
fluctuations
caused
prediction
errors
load.
This
time‐domain
feedback
real‐time
state
eliminate
influence
uncertainty
factors
microgrid.
form
discrete
space
transformed
into
quadratic
problem
improve
efficiency
accuracy
solution.
Finally,
typical
microgrid
used
example
verify
effectiveness
method.
Results
show
error
can
be
within
0.025
kW,
single
time
0.14
s.
Journal of Global Information Management,
Journal Year:
2023,
Volume and Issue:
31(1), P. 1 - 21
Published: Oct. 10, 2023
Finding
the
balance
between
economy
and
low
emission
of
an
integrated
energy
system
(IES)
has
become
one
current
research
hotspots.
This
article
introduces
carbon
tax
capture
(storage)
technology
within
framework
IES
model.
The
comprises
components
such
as
combined
heat
power
units
equipped
with
facilities,
wind
generators,
photovoltaic
panels,
storage
systems.
objective
function
model
is
minimization
operational
costs.
Low-carbon
economic
operation
dispatching
problem
under
constraints
conversion,
balance,
cost
studied
based
on
a
mix-integer
linear
programming
Through
sensitivity
analysis,
this
study
explores
impact
varying
levels
costs
emissions
while
considering
peak
valley
price
differences.
reduction
potential
different
policy
scenarios
also
estimated.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(5), P. e27518 - e27518
Published: March 1, 2024
The
goal
of
"carbon
peak,
carbon
neutral"
and
the
increasing
expansion
new
energy
have
helped
to
advance
development
storage.
However,
since
operating
cost
storage
is
high,
emission
trading
power
market
emerged,
effectively
improving
efficiency.
In
this
paper,
a
strategy
bidding
framework
participation
in
day-ahead
joint
are
studied.
A
model
has
been
established
based
on
Stackelberg
game.
Finally,
"Day-Ahead
Intra-Day
Carbon
Emission
Trading
(CET)"
clearing
constructed.
It
simplified
solve
equivalent
mixed-integer
linear
programming
(MILP)
problem
with
equilibrium
constraints
through
use
Karush–Kuhn–Tucker
(KKT)
optimality
criterion
duality
principle.
proposed
validated
improved
examples
obtain
thermal
unit
output
cuts
up
32.2%
during
load
trough
periods,
16.75%
increase
prices
peak
periods.
life
extended
variation
minimized.
