A day-ahead self-dispatch optimization framework for load-side virtual control units participating in active power regulation of power grids
Energy,
Год журнала:
2025,
Номер
unknown, С. 134791 - 134791
Опубликована: Янв. 1, 2025
Язык: Английский
Multi-source shared operation optimization strategy for multi-virtual power plants based on distributionally robust chance constraint
Energy,
Год журнала:
2025,
Номер
unknown, С. 135761 - 135761
Опубликована: Март 1, 2025
Язык: Английский
Optimal operation model of electrothermal integrated energy system including hydrogen production from offshore wind power participating in multi-level market
International Journal of Hydrogen Energy,
Год журнала:
2025,
Номер
114, С. 250 - 266
Опубликована: Март 1, 2025
Язык: Английский
Regulatory effect of carbon pricing on the negative impacts of coal phase-out
Humanities and Social Sciences Communications,
Год журнала:
2025,
Номер
12(1)
Опубликована: Март 31, 2025
Язык: Английский
The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market
Energies,
Год журнала:
2024,
Номер
17(18), С. 4691 - 4691
Опубликована: Сен. 20, 2024
This
paper
presents
an
optimization
method
for
scheduling
a
multi-energy
VPP
(Virtual
Power
Plant)
supply–demand
balance
in
the
power
market
environment
of
Jiangxi
Province.
The
primary
objective
this
is
to
improve
operational
efficiency
grid,
reduce
energy
costs,
and
facilitate
economical
efficient
distribution
market.
takes
into
account
characteristics
uncertainties
renewable
sources
such
as
solar
wind
energy,
incorporates
advanced
multi-objective
algorithms.
Furthermore,
it
integrates
real-time
price
feedback
achieve
accurate
allocation
supply
demand.
Through
case
study
Province,
examines
optimal
combination
model
various
within
VPP,
analyzes
impact
different
environments
on
balance.
results
demonstrate
that
proposed
significantly
improves
economic
benefits
while
ensuring
grid
stability.
Compared
with
traditional
models,
reduces
average
electricity
costs
by
15%
increases
utilization
20%.
Язык: Английский
A virtual power plant for coordinating batteries and EVs of distributed zero-energy houses considering the distribution system constraints
Journal of Energy Storage,
Год журнала:
2024,
Номер
106, С. 114905 - 114905
Опубликована: Дек. 6, 2024
Язык: Английский
A Novel Multi-Timescale Optimal Scheduling Model for a Power–Gas Mutual Transformation Virtual Power Plant with Power-to-Gas Conversion and Comprehensive Demand Response
Energies,
Год журнала:
2024,
Номер
17(15), С. 3805 - 3805
Опубликована: Авг. 2, 2024
To
optimize
energy
structure
and
efficiently
utilize
renewable
sources,
it
is
necessary
to
establish
a
new
electrical
power–gas
mutual
transformation
virtual
power
plant
that
has
low-carbon
benefits.
promote
the
economic
operation
of
reduce
uncertainty
regarding
use
energy,
multi-timescale
(day-ahead
intraday)
optimal
scheduling
model
proposed.
First,
basic
interconnected
(power-to-gas
demand
response
plant,
PD-VPP)
was
established
with
P2G
comprehensive
as
main
body.
Second,
in
high
volatility
day-ahead
intraday
collaborative
optimization
In
period,
next
day’s
internal
electricity
price
formulated,
price-based
load
regulated
advance
so
ensure
profit
maximization
for
plant.
Based
on
results
modeling,
performed
output
each
distributed
unit,
considering
cost
carbon
emission
reductions
achieve
dispatch
minimal
operating
costs.
Finally,
several
scenarios
are
simulation
case
analysis.
The
validity
proposed
verified
via
comparison.
Язык: Английский
Development of optimal participating strategy for source‐grid‐load‐storage integrated projects in electricity markets with multi‐stage joint optimization
IET Renewable Power Generation,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 14, 2024
Abstract
To
promote
peer‐to‐peer
trading
in
a
distribution
system
with
the
franchise
owned
by
concerned
company
respected,
so‐called
“source‐grid‐load‐storage”
(SGLS)
integrated
project
is
promoted
China.
Given
this
background,
paper
proposes
multi‐stage
joint
optimization
model
to
optimize
participating
strategy
for
SGLS‐IPs
electricity
energy
and
ancillary
service
markets.
A
multi‐energy
flow
park
presented
electricity,
gas,
heat
included.
two‐stage
optimal
of
markets
then
presented.
Through
scenario
analysis
sample
system,
attained
revenue
an
SGLS‐IP
different
evaluated.
Additionally,
bilevel
Stackelberg
game
introduced
internal
electric
vehicle
clusters
(EVCs)
within
SGLS‐IP,
upper
level
representing
lower
EV
users
engaging
game.
The
effectiveness
validated
through
case
studies.
Simulation
results
demonstrate
that
reasonable
market
participation
pricing
strategies
contribute
efficient
allocation
resources
win‐win
outcome
both
entity
users.
Язык: Английский
Two-stage stochastic robust optimization for capacity allocation and operation of integrated energy systems
Electric Power Systems Research,
Год журнала:
2024,
Номер
239, С. 111253 - 111253
Опубликована: Ноя. 23, 2024
Язык: Английский
Optimal Scheduling of Virtual Power Plants Under a Multiple Energy Sharing Framework Considering Joint Electricity and Carbon Trading
Inventions,
Год журнала:
2024,
Номер
9(6), С. 119 - 119
Опубликована: Дек. 2, 2024
The
virtual
power
plant
(VPP)
is
an
excellent
approach
for
mitigating
the
intermittency
and
fluctuation
of
renewable
energy
sources.
present
work
proposes
optimal
scheduling
model
VPPs
to
leverage
benefits
joint
electricity
carbon
trading
from
perspective
multiple
energy-sharing
mechanisms.
First,
sharing
electric,
thermal,
hydrogen
was
established.
integrates
various
components,
including
wind
turbines,
photovoltaic
units,
electrolytic
cells,
combined
heat
hydrogen-doped
gas
boilers,
electric
storage,
thermal
storage
tanks,
tanks.
Then,
incorporates
a
tiered
mechanism
minimize
operating
costs.
Finally,
numerical
results
indicate
that,
compared
with
independent
operation
plants
lack
trading,
scheme
proposed
in
this
paper
reduces
total
cost
emissions
three
by
3.3%
49.7%,
respectively.
This
demonstrates
that
can
effectively
reduce
expenses
facilitating
allocation
achieving
low-carbon
emission
operations.
Язык: Английский