Optimal Planning of Energy Storage in Distribution Feeders Considering Economy and Reliability
Energy Technology,
Journal Year:
2024,
Volume and Issue:
12(7)
Published: May 14, 2024
The
capacity
of
distributed
photovoltaic
impacts
the
safe
and
reliable
operation
distribution
feeders.
energy
storage
is
one
solution
for
addressing
that
challenge.
To
balance
financial
viability
investing
in
projects
feeders
with
grid
reliability,
an
optimal
planning
method
considering
economy
reliability
proposed.
First,
economic
model
established.
Second,
a
simulation
performed
based
on
optimization
results
Finally,
comprehensive
indexes
technique
order
preference
by
similarity
to
ideal
used,
final
scheme
determined
cumulative
curve.
show
it
can
effectively
improve
consumption
better
which
be
used
as
reference
reasonable
determination
ratios
renewables.
Language: Английский
Two-layer optimization configuration method for distributed photovoltaic and energy storage systems based on IDEC-K clustering
Jinlin Liao,
No information about this author
Jia Lin,
No information about this author
Guilian Wu
No information about this author
et al.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 5172 - 5188
Published: May 13, 2024
A
two-layer
optimization
configuration
method
for
distributed
photovoltaic
(DPV)
and
energy
storage
systems
(ESS)
based
on
IDEC-K
clustering
is
proposed
to
address
the
issues
of
voltage
violations
excessive
network
losses
caused
by
high
proportion
resource
integration
into
distribution
grids.
Firstly,
an
improved
Deep
Embedded
Clustering
(IDEC)
algorithm
combined
with
K-means
cluster
historical
data
photovoltaics
loads,
generating
typical
scenarios.
Then,
scenarios,
considering
economy
reliability
DPV
ESS,
a
optimal
model
established,
solved
using
Non-Dominated
Sorting
Genetic
Algorithm
II
(NSGA-II).
Finally,
simulation
experiments
are
conducted
IEEE
33-bus
system.
The
experimental
results
demonstrate
effectiveness
can
reduce
range
each
node
network,
fluctuation
voltage,
risk
over-limit
line
loss
rate
network.
Language: Английский
A method based on GIS techniques to assess renewable energy self-consumption capacity. A case study
Energy,
Journal Year:
2024,
Volume and Issue:
305, P. 132246 - 132246
Published: July 1, 2024
The
exploitation
of
renewables
through
energy
self-consumption
installations
is
one
the
key
strategies
for
decarbonisation
systems
and
promotion
distributed
electricity
generation.
Wind
solar
photovoltaic
are
two
renewable
sources
commonly
used
to
generate
self-consumption.
One
limitations
in
medium-large
scale
wind
their
compatibility
with
geographical
characteristics
territory.
In
this
paper,
a
method
has
been
developed
using
GIS
techniques
precisely
identify
optimal
locations
that
maximise
yield
such
electrical
implementation
method,
criteria
related
topographical
terrain
(slope,
orientation
shading,
etc.),
potential
(capacity
factor,
logistical
questions
jointly
considered.
applied
case
study
on
island
Gran
Canaria
(Spain).
results
derived
from
application
show
importance
detailed
consideration
characteristics.
This
aspect
even
more
important
regions/countries
limited
availability
useful
territory
these
types
installations,
therefore
elaboration
planning
strategies.
Language: Английский
A two-phase robust comprehensive optimal scheduling strategy for regional distribution network based on multiple scenarios
Hongde Ma,
No information about this author
Weiqi Zhang,
No information about this author
Aoxuan Wang
No information about this author
et al.
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: Nov. 7, 2024
With
the
increasing
integration
of
renewable
energy
sources,
optimization
distribution
networks
has
become
a
critical
challenge
to
ensure
sustainable
and
reliable
supply.
In
this
paper,
robust
comprehensive
(RCO)
strategy
based
on
multi-scenarios
is
proposed
manage
uncertainty
distributed
power
supply
load
in
regional
networks,
for
making
up
shortcomings
existing
methods
multi-scenario
integrated
networks.
Firstly,
development
holistic
model
that
concurrently
considers
constraints
related
wind
power,
photovoltaics
(PVs),
gas
turbines
(GTs),
storage
systems,
reactive
compensation,
carbon
dioxide
(CO
2
)
emissions,
ensuring
approach
network
management.
Then,
application
Latin
Hypercube
Sampling
(LHS)
scenario
generation,
combined
with
an
adaptive
K
-means
clustering
using
elbow
method
(EM),
which
results
creation
highly
representative
prototypical
scenarios.
addition,
imposition
1-norm
∞-norm
probability
confidence
intervals
distribution,
provides
rigorous
framework
addressing
Furthermore,
novel
two-phase
decomposition
box
algorithm
will
be
introduced
handle
temporal
dependencies
between
unit
commitment,
optimizing
both
operational
costs
system
flexibility.
Using
column
constraint
generation
(C&CG)
algorithm,
complex
problem
been
solved
comprehensively.
Finally,
validation
IEEE
33-note
Matlab/Simulink
platform
from
four
demonstrates
can
effectively
improve
practicability,
reduce
error,
enhance
robustness,
have
better
scene
representation.
Language: Английский
Improving Active Resonance Damping and Unbalanced Voltage Mitigation Based on Combined DDSRF and Washout Filter in Islanded Microgrids
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 62997 - 63013
Published: Jan. 1, 2024
The
existence
of
imbalanced
single-
and
two-phase
loads,
coupled
with
short-circuit
faults,
contributes
to
voltage
imbalance.
It
is
inevitable
use
LCL
filters
remove
harmonics
caused
by
converter
switching.
While
effective
in
removing
harmonic
components,
these
may
inadvertently
amplify
propagate
resonance.
Both
imbalance
active
resonance
significantly
degrade
power
quality.
This
paper
proposes
a
multi-level
hierarchical
control
system
mitigate
both
phenomena.
At
Level
1,
the
controller
incorporates
proportional-resonant
regulators
for
current
voltage.
2
employs
common
droop
establish
microgrid
frequency
reference
values.
3
introduces
washout
filter
an
adjustable
Kd
gain,
capable
attenuating
originating
from
filter.
Finally,
4
integrates
based
on
extracting
positive
negative
sequence
components
using
dual
decoupled
synchronous
frame
(DDSRF)
algorithm.
effectively
compensates
load
bus,
balancing
Simulation
results
standalone
demonstrate
that
proposed
4-level
algorithm
can
reduce
bus
10%
2.5%
under
most
challenging
conditions.
diminishes
distortion
11%
2.5%.
presented
perform
optimally
dynamic
changes
reactive
nonlinear
loads.
main
merit
this
approach
not
physical
devices
Flexible
Alternative
Current
Transmission
Systems
(FACTS),
such
as
Active
Power
Filters
(APF),
Distribution
Static
Synchronous
Compensators
(DsSTATCOM),
SVC.
Language: Английский
Research on power grid planning considering composite energy storage model
Panlong Jin,
No information about this author
Zongchuan Zhou,
No information about this author
Feng Xue
No information about this author
et al.
Published: May 13, 2024
This
study
addresses
the
challenges
of
short
and
long-term
power
fluctuations
in
grid
planning
by
establishing
a
composite
energy
storage
model
that
considers
both
hydrogen
electrochemical
storage.
The
paper
presents
incorporating
load
storage,
facilitating
peak
shaving,
supporting
operations
across
various
time
scales.
proposed
is
solved
using
an
enhanced
Firefly
algorithm,
case
studies
demonstrate
method's
effectiveness
reducing
overall
costs
enhancing
operational
performance.
Language: Английский
Research on power network planning considering complex load model
SongLin Li,
No information about this author
Yu Liao,
No information about this author
Zhiyuan Wang
No information about this author
et al.
Published: May 13, 2024
The
current
grid
faces
increasing
complexity
in
load
patterns.
This
paper
addresses
the
challenges
posed
by
complex
loads,
including
impact
of
high-speed
railways
and
ZIP
composite
model.
A
planning
model
considering
electrochemical
energy
storage
supercapacitor
for
optimized
operation
is
proposed.
An
enhanced
Sand
Cat
Swarm
Optimization
algorithm
introduced
solution.
Case
studies
demonstrate
that
deployment
devices
effectively
absorbs
load,
minimizing
its
on
grid.
Language: Английский
Resilience Improvement of Microgrid Cluster Systems Based on Two-Stage Robust Optimization
Shui Ji,
No information about this author
Yun Liu,
No information about this author
Shanshan Wu
No information about this author
et al.
Energies,
Journal Year:
2024,
Volume and Issue:
17(17), P. 4287 - 4287
Published: Aug. 27, 2024
For
microgrids
in
deep
and
remote
sea
areas,
ocean
currents
are
widely
used
as
an
emerging
power
generation
resource.
Implementing
ES
systems
is
crucial
for
smooth
output
grid
stability.
The
stability
of
from
current
energy
faces
challenges
due
to
speed
fluctuations.
Enhancing
resilience
requires
addressing
transmission
line
failures
caused
by
extreme
seabed
conditions,
ensuring
operational
security.
An
configuration
method
considering
faults
based
on
two-stage
robust
optimization
presented
this
paper.
First,
order
simultaneously
consider
planning
operation,
a
defender–attacker–defender
(DAD)
model
was
established.
Additionally,
the
capacity,
rated
power,
charging/discharging
during
operation
were
jointly
optimized
through
column-and-constraint
(C&CG)
algorithm.
In
addition,
rationality
effectiveness
proposed
demonstrated
experiments
modified
IEEE
six-bus
fifty-seven-bus
systems.
results
show
that
distributed
increased
system
54.60%
reduced
abandoned
rate
57.06%
compared
with
situation
without
configuration.
Language: Английский
Optimization of Capacity Allocation for Wind-Photovoltaic-Hydro Power Generation System Based on Particle Swarm Optimization Algorithm
Quan Zheng,
No information about this author
Yongqi Yao,
No information about this author
Jibin Zhu
No information about this author
et al.
Published: July 20, 2024
Language: Английский
Optimal Scheduling of Zero-Carbon Parks Considering Flexible Response of Source–Load Bilaterals in Multiple Timescales
Processes,
Journal Year:
2024,
Volume and Issue:
12(12), P. 2850 - 2850
Published: Dec. 12, 2024
In
order
to
enhance
the
carbon
reduction
potential
of
a
park,
low-carbon
economic
dispatch
method
applicable
zero-carbon
parks
is
proposed
optimize
energy
park
at
multiple
timescales;
this
achieved
by
introducing
flexible
response
mechanism
for
source–load
bilaterals,
so
as
achieve
low-carbon,
economic,
and
efficient
operation.
First,
model
that
accounts
flow
characteristics
distribution
hub
established.
Then,
based
on
operation
supply
equipment
multi-type
integrated
demand
response,
bilaterally
multi-timescale
scheduling
framework
are
proposed;
mechanisms
coordination
electricity–carbon
coupling
analyzed
in
depth.
Finally,
with
objective
optimal
system
economy,
established
three
timescales,
namely,
day-ahead,
intraday,
real-time
scheduling.
The
output
optimized
step
according
prediction
information
results
each
stage.
simulation
show
can
effectively
utilize
source
load
resources
participate
reduce
emissions
while
ensuring
realizing
system.
Therefore,
study
provides
new
theoretical
basis
practical
solution
parks,
which
helps
promote
development
economy.
Language: Английский