Symmetry,
Год журнала:
2025,
Номер
17(5), С. 683 - 683
Опубликована: Апрель 29, 2025
The
intervention
of
distributed
loads,
propelled
by
the
swift
advancement
energy
sources
and
escalating
demand
for
diverse
load
types
encompassing
electricity
cooling
within
virtual
power
plants
(VPPs),
has
exerted
an
influence
on
symmetry
grid.
Consequently,
a
quantitative
assessment
annual
peak-shaving
capability
VPP
is
instrumental
in
mitigating
peak-to-valley
difference
grid,
enhancing
operational
safety
reducing
grid
asymmetry.
This
paper
presents
optimization
method
VPPs,
which
takes
into
account
renewable
uncertainty
flexible
response.
Firstly,
wind
(WP),
photovoltaic
(PV)
generation,
demand-side
response
(DR)
are
integrated
framework.
Uncertainties
related
to
WP
PV
generation
incorporated
through
scenario
deterministic
constraints.
Secondly,
stochastic
programming
(SP)
model
established
VPP,
with
objective
maximizing
peak-regulation
effect
minimizing
loss
users.
case
study
results
indicate
that
proposed
effectively
tackles
across
new
output
scenarios
accurately
assesses
potential
system.
Specifically,
proportion
decrease
during
peak
hours
18.61%,
while
increase
off-peak
17.92%.
degrees
users
merely
0.209
summer
0.167
winter,
respectively.
IET Renewable Power Generation,
Год журнала:
2025,
Номер
19(1)
Опубликована: Янв. 1, 2025
ABSTRACT
High‐voltage
DC
(HVDC)
systems
are
taken
into
consideration
while
simultaneous
generation
and
transmission
expansion
planning
in
this
paper.
It
is
based
on
the
placement
sizing
of
generating
units,
AC
cables,
HVDC
systems.
Within
system,
reactive
power
network
may
be
managed
by
substations
equipped
with
AC/DC
DC/AC
electronic
converters,
respectively.
Plan
takes
form
a
bi‐stage
optimization,
where
upper
level
aims
to
minimize
yearly
cost
constructing
items
stated,
taking
account
constraints
related
size
investment
budget.
Minimization
costs
units
energy
losses
lower‐level
problem.
Linearized
flow
model
operating
parameters
both
non‐renewable
renewable
bind
goal
function.
To
simulate
uncertainty
demand
electricity,
stochastic
optimization
used.
Utilizing
Benders
decomposition
approach,
problem
solved
best
solution
extracted.
Numerical
outcomes
derived
from
several
cases
demonstrate
plan's
potential
enhance
network's
technical
economic
features.
In
comparison
studies,
(operating)
status
improved
around
10%
(10–40%).
IET Renewable Power Generation,
Год журнала:
2025,
Номер
19(1)
Опубликована: Янв. 1, 2025
ABSTRACT
This
paper
presents
the
allocation
and
planning
of
renewable
distributed
generations
such
as
wind
turbines
photovoltaic
systems,
non‐renewable
generators
fuel
cells
in
microgrids
that
incorporate
electric
vehicle
parking
lots
while
considering
financial,
operational
voltage
stability
goals.
The
proposal
is
modelled
form
a
bi‐objective
optimisation
problem.
One
objective
functions
minimises
generators’
cost
microgrid's
cost,
other
function
maximises
index.
problem
solved,
satisfying
technical
constraints
power
flow,
network
operational,
limits
incorporating
models
vehicles
resources.
ε‐constraint‐based
Pareto
solution
used
to
determine
single‐objective
formulation
next
step.
Then,
fuzzy
decision‐making
tool
derives
compromise
solution.
Finally,
Crow
Search
algorithm
finds
trustable
optimal
performance
validated
on
standard
microgrid
using
numerical
analyses
shows
can
effectively
economic
conditions.
Energies,
Год журнала:
2025,
Номер
18(9), С. 2188 - 2188
Опубликована: Апрель 25, 2025
The
rapid
integration
of
renewable
energy
sources
and
the
increasing
complexity
demands
necessitate
advanced
strategies
for
optimizing
multi-region
systems.
This
study
investigates
coordinated
management
interconnected
parks
by
incorporating
wind
power,
demand
response
(DR)
mechanisms,
storage
A
comprehensive
optimization
framework
is
developed
to
enhance
sharing
among
parks,
leveraging
demand-side
flexibility
integration.
Simulation
results
demonstrate
that
proposed
approach
significantly
improves
system
efficiency
balancing
supply-demand
mismatches
reducing
reliance
on
external
power
sources.
Compared
conventional
methods,
DR
capabilities
industrial
commercial
loads
have
increased
8.08%
6.69%,
respectively,
which
primarily
due
enhanced
utilization
optimized
deployment.
inclusion
contributed
improved
flexibility,
enabling
a
more
resilient
exchange
framework.
highlights
potential
collaborative
in
multi-area
systems
provides
pathway
future
research
explore
control
algorithms
additional
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 3, 2025
This
study
presents
a
planning
approach
that
considers
the
simultaneous
expansion
of
generating
and
transmission
systems,
taking
into
account
location
sizing
generation
units,
AC
lines,
high-voltage
direct-current
(HVDC)
systems.
The
HVDC
system
utilizes
DC
substations
equipped
with
AC/DC
DC/AC
power
electronic
converters,
respectively,
to
effectively
regulate
control
reactive
network.
problem
aims
minimize
combined
annual
cost
constructing
specified
parts
operating
units.
is
subject
constraints
such
as
size
investment
budget
limits,
an
optimum
flow
model,
operational
limits
both
renewable
non-renewable
scheme
incorporates
non-linear
model.
Red
Panda
Optimization
(RPO)
utilized
solve
provided
model
in
order
attain
dependable
optimal
solution.
research
focuses
on
several
advances,
including
system,
regulation
substations,
resolution
related
issues
using
RPO
algorithm.
numerical
findings
collected
from
case
studies
demonstrate
effectiveness
suggested
enhancing
economic
technical
aspects
Efficiently
coordinating
leads
significant
enhancement
performance
network,
resulting
10-40%
improvement
compared
network
studies.
