Energies,
Journal Year:
2024,
Volume and Issue:
17(24), P. 6272 - 6272
Published: Dec. 12, 2024
As
photovoltaic
technologies
are
being
promoted
throughout
the
country,
widespread
installation
of
distributed
systems
in
rural
areas
regions
compromises
safety
and
stability
distribution
network.
Distributed
clusters
can
be
configured
with
energy
storage
to
increase
local
consumption
mitigate
impact
grid-connected
modes.
Against
this
background,
paper
focuses
on
areas,
combines
typical
operation
modes
clusters,
constructs
two-stage
optimization
configuration
model
for
clusters.
Taking
a
Chinese
village
as
an
example,
proposed
is
optimized
improved
particle
swarm
algorithm.
Given
different
combinations
without
demand
response,
comparative
analyses
conducted
economic
benefits
independent
operators
various
scenarios.
Simulations
indicate
that
proportion
reaches
62.64%,
which
34.02%
more
than
scenario
storage.
The
results
configuring
significantly
improves
level.
Meanwhile,
implementing
response
achieve
same
effect
while
reducing
configuration,
life-cycle
appreciable.
simulation
show
participating
reduce
system
cost
by
7.15%
at
60%.
This
research
expands
application
channels
provides
references
investment
decisions
systems.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2074 - 2074
Published: Feb. 27, 2025
To
address
the
challenges
in
new
power
systems,
such
as
wind
and
photovoltaic
curtailment
insufficient
energy
storage
incentives,
caused
by
imbalances
regulation
of
supply
demand,
academic
community
has
proposed
substitute
product
(SPP)
market,
which
is
based
on
trading
prescribed
generation
shapes
over
defined
periods.
However,
there
currently
no
literature
addressing
optimization
strategies
for
market
participants
within
SPP
model.
fill
this
gap,
study
introduces,
first
time,
an
planning
operation
strategy
stations
framework.
First,
basic
process
related
concepts
are
introduced.
Then,
operational
logic
a
multi-stage
stations.
This
integrates
two-level
model
with
multi-scenario
stochastic
to
optimize
capacity
allocation
renewable
under
uncertainty.
Subsequently,
relevant
metrics
introduced,
these
used
quantitatively
analyze
feasibility
cooperation
among
different
stakeholders
market.
Finally,
impact
prices
decision-making
participating
explored.
The
findings
provide
producers
preliminary
solution
configuration
model,
promoting
their
participation
contributing
acceleration
low-carbon
transformation
systems.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(10), P. 4297 - 4297
Published: May 19, 2024
Integrated
energy
systems
(IESs)
can
easily
accommodate
renewable
resources
(RESs)
and
improve
the
utilization
efficiency
of
fossil
by
integrating
various
production,
conversion,
storage
technologies.
However,
coupled
multi-energy
flows
uncertainty
RESs
bring
challenges
regarding
optimal
scheduling.
Therefore,
this
study
proposes
an
bus-based
matrix-modeling
method
a
coordinated
scheduling
strategy
for
IES.
The
be
used
to
formulate
steady-
transient-state
balances
flows,
transient
model
clearly
express
multi-time-scale
characteristics
different
flows.
parameters
are
fitted
with
data
from
experiments
literature.
To
address
inherent
randomness
loads,
is
designed
that
contains
two
components:
day-ahead
optimization
rolling
optimization.
Day-ahead
uses
system
steady-state
multiple
scenarios
RES
load
forecast
minimize
operation
cost
while
based
on
system’s
aims
achieve
real-time
Finally,
case
conducted
verify
advantages
effectiveness
proposed
method.
results
show
stochastic
reduces
total
daily
1.48%
compared
deterministic
when
considering
prediction
errors
associated
highlighting
stronger
adaptability
errors.
Moreover,
reduce
between
correction.
International Journal of Energy Research,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
The
offshore
oil
and
gas
industry
is
under
increasing
pressure
to
reduce
carbon
emissions
while
maintaining
energy
reliability.
Offshore
platforms
(OOGPs)
face
significant
challenges
in
integrating
low‐carbon
operations
with
their
systems.
This
study
introduces
an
optimized
scheduling
approach
for
microintegrated
system
(OMIES)
that
incorporates
a
hybrid
storage
system,
including
floating
power‐to‐gas
associated
(FP2G‐AGS)
module,
address
the
intermittency
of
renewable
sources.
An
economic
optimization
model
formulated,
accounting
emissions,
operational
costs,
status
turbine
generator
sets.
To
solve
complex
problem,
this
develops
chaotic
local
search
particle
swarm
(CLPSO)
algorithm.
CLPSO
algorithm
synergizes
global
ability
PSO
refinement
search,
enhancing
convergence
optimal
solutions.
Experimental
results
demonstrate
proposed
effectively
achieves
solutions
within
range
48.2–51.7.
Case
studies
validate
model’s
capability
promote
new
integration,
decrease
CO
2
across
various
scenarios.
research
significantly
contributes
achieving
on
OOGPs
promotes
sustainable
development
marine
resources.
