2022 7th Asia Conference on Power and Electrical Engineering (ACPEE),
Год журнала:
2024,
Номер
unknown, С. 1577 - 1582
Опубликована: Апрель 11, 2024
Under
the
background
of
increasing
proportion
new
energy
power
generation,
mismatch
"source-load"
occurs
between
regions.
To
effectively
improve
utilization
rate
peaking
resources
and
increase
amount
matching,
this
paper
proposes
optimal
scheduling
multiregional
considering
network
currents.
The
strategy
takes
into
account
impact
wind
penetration
on
demand
for
connects
regions
with
different
characteristics
using
contact
lines.
It
evaluates
iterates
each
region
in
time
period
finds
output
thermal
units
region.
Through
simulation,
results
show
that
proposed
improves
consumption
system
operation
economy.
IEEE Transactions on Smart Grid,
Год журнала:
2024,
Номер
15(6), С. 5678 - 5692
Опубликована: Июль 23, 2024
In
this
paper,
categorized
demand
response
(DR)
programs
are
proposed
to
address
the
coordinated
planning
problem
in
multi-region
integrated
energy
systems
(MRIESs).
The
DR
comprise
a
discrete
manufacturing
production
model
for
industrial
areas,
real-time
pricing-based
program
commercial
and
diverse
operational
tasks
various
electrical
appliances
residential
areas.
Subsequently,
detailed
is
leveraged
minimize
operation
cost
gas
emissions
renewable-integrated
MRIES
considering
uncertainties
from
wind
solar
power.
Then,
flexible
adjustable
robust
optimization
(FARO)
approach
presented
deal
with
all
uncertainty
sources.
FARO
aims
ensure
safe
of
against
any
while
meeting
predefined
performance
objectives.
Furthermore,
bi-level
solution
algorithm
designed
by
combining
stochastic
dichotomy
method
column-and-constraint
generation
(C&CG)
solve
our
model.
Finally,
case
studies
conducted
on
practical
Changsha,
China.
Experimental
results
indicate
effectiveness
adjusting
allocable
resources
maximize
holistic
system
profits.
Besides,
compared
commonly
used
information-gap
decision
theory
(IGDT)
method,
can
maintain
optimality
reducing
conservatism.
Journal of Physics Conference Series,
Год журнала:
2025,
Номер
3011(1), С. 012029 - 012029
Опубликована: Май 1, 2025
Abstract
With
the
rapid
increase
in
number
of
electric
vehicles
(EVs),
their
potential
as
mobile
energy
storage
units
has
garnered
significant
attention.
Vehicle-to-grid
(V2G)
technology,
which
enables
bidirectional
interaction
between
and
grid,
presents
new
opportunities
for
development
integrated
systems
(IES).
To
address
issue
capacity
configuration
after
integrating
EVs
into
IES,
a
two-layer
optimization
model
been
established
IES
that
considers
V2G
characteristics.
The
outer
layer
optimizes
single
objective,
is
sum
operating
cost
average
investment
system
over
its
lifecycle.
inner
multiple
objectives,
including
cost,
wind
solar
curtailment
rate,
EV
charging
cost.
research
results
demonstrate
proposed
effectively
system’s
significantly
improves
economic
benefits
all
stakeholders.
Energies,
Год журнала:
2024,
Номер
17(22), С. 5762 - 5762
Опубликована: Ноя. 18, 2024
This
paper
addresses
the
critical
challenge
of
scheduling
optimization
in
regional
integrated
energy
systems,
characterized
by
coupling
multiple
physical
streams
(electricity,
heat,
and
cooling)
participation
various
stakeholders.
To
tackle
this,
a
novel
multi-load
multi-type
demand
response
model
is
proposed,
which
fully
accounts
for
heterogeneous
characteristics
demands
different
campus
environments.
A
leader–follower
two-layer
game
equilibrium
introduced,
where
system
operator
acts
as
leader,
load
aggregators,
storage
plants,
wind
farm
operators
serve
followers.
The
layer
employs
an
enhanced
particle
swarm
(PSO)
algorithm
to
iteratively
adjust
sales
prices
compensation
unit
prices,
influencing
user
plan
through
model.
In
lower
layer,
charging
discharging
schedules
supply,
outputs
conversion
devices
are
optimized
guide
operation.
novelty
this
approach
lies
integration
game-theoretic
framework
with
advanced
techniques
balance
interests
all
participants
enhance
coordination.
case
study
conducted
evaluate
effectiveness
proposed
strategy,
demonstrating
significant
economic
benefits.
results
show
that
encourages
stakeholders
invest
infrastructure
actively
participate
coordinated
dispatch,
leading
improved
overall
efficiency
comprehensive
revenue
enhancement
multi-agent
system.
