Identifying critical nodes of cyber–physical power systems based on improved adaptive differential evolution
Electric Power Systems Research,
Год журнала:
2024,
Номер
229, С. 110112 - 110112
Опубликована: Янв. 15, 2024
Язык: Английский
Fast dynamic identification algorithm for key nodes in distribution networks with large-scale DG and EV integration
Applied Energy,
Год журнала:
2025,
Номер
388, С. 125608 - 125608
Опубликована: Март 8, 2025
Язык: Английский
An innovative contactless current sensor for smart grids applications
Heliyon,
Год журнала:
2025,
Номер
11(10), С. e42980 - e42980
Опубликована: Апрель 21, 2025
Язык: Английский
Low-carbon integrated energy system scheduling considering electric vehicle demand response
Lunjie Wang,
Lin Luo,
Miao Yu
и другие.
Journal of Cleaner Production,
Год журнала:
2024,
Номер
unknown, С. 144073 - 144073
Опубликована: Окт. 1, 2024
Язык: Английский
Identification of Critical Nodes in Power Grid Based on Improved PageRank Algorithm and Power Flow Transfer Entropy
Electronics,
Год журнала:
2023,
Номер
13(1), С. 184 - 184
Опубликована: Дек. 31, 2023
Identifying
critical
nodes
in
the
power
grid
is
a
crucial
aspect
of
system
security
and
stability
analysis.
However,
current
methods
for
identification
fall
short
fully
accounting
transfer
characteristics
between
consequences
node
removal
on
operation.
To
enhance
effective
accurate
grid,
method
proposed.
This
based
improved
PageRank
algorithm
node-weighted
flow
entropy,
referred
to
as
IPRA-PFTE.
Firstly,
equivalent
impedance
nodes,
introduction
virtual
an
obtained.
Then
entropy
derived
by
considering
uniformity
distribution
following
node.
Finally,
importance
obtained
combining
with
entropy.
The
method’s
effectiveness
accuracy
are
validated
through
simulation
using
IEEE
39-bus
example
subsequent
comparison
existing
methods.
Язык: Английский
Techno-economic performance of different DC power distribution networks in official buildings based on a real-time analysis method
Energy and Buildings,
Год журнала:
2024,
Номер
325, С. 114996 - 114996
Опубликована: Ноя. 9, 2024
Язык: Английский
Stackelberg Game Based Optimal Coordination for Low Carbon Park with Hydrogen Blenging System
Опубликована: Янв. 1, 2024
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Язык: Английский
Stackelberg Game Based Optimal Coordination for Low Carbon Park with Hydrogen Blending System
Опубликована: Янв. 1, 2024
As
an
important
carrier
contributor
to
national
production
and
societal
needs,
industrial
parks
host
a
plethora
of
energy-intensive
activities
service
facilities,
rendering
them
significant
sources
carbon
dioxide
emissions.
To
realize
low-carbonization,
this
study
aims
mitigate
emissions
through
heightened
utilization
renewable
energy
neutralization
strategies.
The
emission
flow
model
is
utilized
trace
from
the
supplier
(ES)
side
user
side,
furnishing
integrated
system
operator
(IESO)
with
signal
adjust
prices
for
guiding
users.The
hydrogen
blending
(HBS)
capture
(CCS)
are
introduced
ES.
A
novel
Stackelberg
game
proposed
low-carbon
scheduling
management
IESO,
users,
ES,
which
considers
constraints
direct
power
heating
network
temperature,
existence
uniqueness
equilibrium
being
demonstrated.
validity
feasibility
verified
on
extended
IEEE-39
bus
6-node
network,
employing
combination
genetic
algorithm
CPLEX
solver
solution.
simulation
result
demonstrates
that
lowest
under
framework
by
introducing
CCS
HBS.
Язык: Английский