Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based Algorithm
Energies,
Journal Year:
2023,
Volume and Issue:
16(6), P. 2790 - 2790
Published: March 17, 2023
Incorporating
photovoltaic
(PV)
inverters
in
power
distribution
systems
via
static
synchronous
compensators
(PV-STATCOM)
during
the
nighttime
has
lately
been
described
as
a
solution
to
improve
network
performance.
Hunter
prey
optimization
(HPO)
is
introduced
this
study
for
efficient
PV-STATCOM
device
allocation
systems.
HPO
generates
numerous
scenarios
how
animals
could
act
when
hunting,
some
of
which
have
expanded
into
stochastic
optimization.
The
issue
networks
structured
simultaneously
minimize
electrical
energy
losses
and
voltage
profile
while
accounting
variable
24
h
loadings.
impacts
varying
number
installed
devices
are
investigated
It
tested
on
two
IEEE
33-node
69-node
networks.
effectiveness
proposed
demonstrated
comparison
differential
evolution
(DE)
algorithm,
particle
swarm
(PSO),
artificial
rabbits
algorithm
(ARA),
golden
search
optimizer
(GSO).
simulation
results
demonstrate
efficiency
adequately
allocating
For
network,
considerably
decreased
by
57.77%,
voltages
variance
sum
significantly
reduced
42.84%.
57.89%,
variations
44.69%.
Additionally,
suggested
highly
consistent
than
DE,
PSO,
ARA,
GSO.
Furthermore,
throughout
day,
at
all
nodes
surpasses
minimum
requirement
95%.
Language: Английский
A Review of Voltage Control Studies on Low Voltage Distribution Networks Containing High Penetration Distributed Photovoltaics
Xiao-Zhi Gao,
No information about this author
Jiaqi Zhang,
No information about this author
Huiqin Sun
No information about this author
et al.
Energies,
Journal Year:
2024,
Volume and Issue:
17(13), P. 3058 - 3058
Published: June 21, 2024
Distributed
photovoltaic
(PV)
in
the
distribution
network
accounted
for
an
increasing
proportion
of
network,
and
power
quality
problem
is
more
significant.
In
this
paper,
voltage
regulation
methods
low-voltage
networks
containing
high-penetration
PV
are
investigated.
First,
working
principles
four
control
introduced:
energy
storage
system
configuration,
regulating
reactive
output
inverters,
restricting
active
PV,
adjusting
switching
positions
on-load
regulator
trap
changer
reconfiguration,
then,
combination
with
recent
related
research,
optimization
each
method
compared
horizontally
its
respective
concerns
characteristics.
The
studies
to
find
out
focus
characteristics
method,
shortcomings
explored.
Coordinated
through
multiple
flexibility
resources
has
become
mainstream
scheme,
considered
from
perspective
resources.
three
types
resources,
namely,
source,
storage,
have
been
widely
used
regulation.
Although
load-side
one
main
new
type
system,
current
study
introduces
less
about
participation
LV
advancing
application
future
research.
Then,
important
role
described
parts,
development
trend,
suggestions
promoting
coordination
source-network-load-storage
aiming
promote
networks,
programs
proposed
technological
challenges
faced
by
context
today’s
emphasizing
interaction
load,
technologies
solving
problems
prospected,
a
view
providing
certain
reference
value
actual
operation
systems.
Language: Английский
Distributed photovoltaic cluster output monitoring method based on time series data acquisition
Hua Ye,
No information about this author
Xuegang Lu,
No information about this author
Wei Zhang
No information about this author
et al.
Energy Informatics,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: Feb. 19, 2025
Language: Английский
Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(12), P. 9580 - 9580
Published: June 14, 2023
This
paper
aims
to
address
the
combination
of
distributed
generation
placement
and
dynamic
distribution
network
reconfiguration.
Herein,
a
multi-strategy
multi-objective
improved
black
widow
algorithm
is
proposed.
A
model
established,
which
considers
objectives
minimizing
active
power
loss,
voltage
deviation,
carbon
emission.
The
proposed
significantly
enhances
traversal
capability
search
speed
by
employing
Cubic–Tent
chaotic
mapping,
involving
novel
formula
with
fusion
optimal
genes,
an
adaptive
mutation
Wald
elite
reverse
learning
mixing.
DeepSCN
employed
forecast
(DG)
output
load.
Through
various
test
functions,
demonstrated.
Whether
single-objective
or
multi-objective,
has
excellent
performance.
To
showcase
practicality
effectiveness
approach,
simulation
experiment
was
performed
on
IEEE-33
node
configuration.
solution
set
provided
MIBWOA
can
reduce
loss
improve
operating
efficiency,
increase
offset
make
operation
more
stable,
emissions
environmentally
friendly.
shows
performance
in
reconfiguration
compared
comparison
algorithms.
results
show
that
enhance
real-time
operational
parameters
considerable
efficiency.
Language: Английский
Evaluating the Role of Integrated Photovoltaic and Energy Storage Systems in the Net-Zero Transition: A Case Study in Taiwan
Ting-Yu Liao,
No information about this author
Hsin-Wei Hsu,
No information about this author
Bing-Jyun Chen
No information about this author
et al.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(16), P. 3417 - 3417
Published: Aug. 11, 2023
This
study
investigates
the
role
of
integrated
photovoltaic
and
energy
storage
systems
in
facilitating
net-zero
transition
for
both
governments
consumers.
A
bi-level
planning
model
is
proposed
to
address
challenges
encountered
by
existing
power
supply
meeting
escalating
electricity
demands.
In
upper
level,
provide
incentives
users
through
subsidies
generation,
system
installations,
procurement.
Meanwhile,
at
lower
load
requirements
are
optimized,
costs
minimized
integrating
solar
battery
storage,
To
effectively
these
complexities,
a
hybrid
physics-inspired
algorithm
programming
utilized
iterative
problem
solving.
The
findings
indicate
that
relying
on
output
during
peak
periods
conducting
small
purchases,
while
storing
excess
electricity,
proves
be
an
efficient
approach.
offers
cost-effective
solution
managing
consumption,
mitigating
potential
shortages,
reducing
frequent
outages.
Furthermore,
this
research
contributes
comprehensive
understanding
its
implications
systems.
Specifically,
it
highlights
significance
assisting
businesses
with
specific
planning,
determining
optimal
charging
discharging
schedules,
considering
government
subsidies.
Language: Английский
Ultra-Short-Term Prediction Limited Planning Load for Determination of Storage Capacity in Grid-Connected Pv Systems
Jing Huang,
No information about this author
Teng Xiao,
No information about this author
Hu Qingyi
No information about this author
et al.
Published: Jan. 1, 2024
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DOI
Language: Английский
Data-Driven Operation of Flexible Distribution Networks with Charging Loads
Guorui Wang,
No information about this author
Zhenghao Qian,
No information about this author
Xinyao Feng
No information about this author
et al.
Processes,
Journal Year:
2023,
Volume and Issue:
11(6), P. 1592 - 1592
Published: May 23, 2023
The
high
penetration
of
distributed
generators
(DGs)
and
the
large-scale
charging
loads
deteriorate
operational
status
flexible
distribution
networks
(FDNs).
A
soft
open
point
(SOP)
can
deal
with
issues,
such
as
voltage
violations
electricity
purchasing
cost
stations.
However,
absence
accurate
parameters
poses
challenges
to
model-based
methods.
This
paper
proposes
a
data-driven
operation
method
FDNs
loads.
First,
model-free
adaptive
predictive
control
(MFAPC)
approach
is
proposed
fully
involve
in
FDN
without
network
parameters.
Then,
multi-timescale
coordination
model
an
SOP
established
satisfy
demand
improve
performance.
effectiveness
numerically
demonstrated
on
modified
IEEE
33-node
network.
results
indicate
that
effectively
reduce
stations
performance
FDNs.
Language: Английский