A hierarchical multi-objective co-optimization framework for sizing and energy management of coupled hydrogen-electricity energy storage systems at ports
P. T. Ge,
No information about this author
Daogui Tang,
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Yuji Yuan
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et al.
Applied Energy,
Journal Year:
2025,
Volume and Issue:
384, P. 125451 - 125451
Published: Feb. 4, 2025
Language: Английский
Uncertainty-output virtual power plant participates in multi-electricity market considering the improved Shapley value distribution method
Yi Shang,
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Xiaolan Li,
No information about this author
Yan Li
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et al.
International Journal of Electrical Power & Energy Systems,
Journal Year:
2025,
Volume and Issue:
165, P. 110462 - 110462
Published: Jan. 14, 2025
Language: Английский
Adaptive Robust Optimal Scheduling of Combined Heat and Power Microgrids Based on Photovoltaic Mechanism/Data Fusion-Driven Power Prediction
Yueyang Xu,
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Yibo Wang,
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Chuang Liu
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et al.
Energies,
Journal Year:
2025,
Volume and Issue:
18(3), P. 732 - 732
Published: Feb. 5, 2025
In
order
to
effectively
deal
with
the
adverse
effects
of
randomness
photovoltaic
output
on
operation
combined
heat
and
power
(CHP)
microgrids,
this
paper
proposes
an
adaptive
robust
optimal
scheduling
strategy
for
CHP
microgrids
based
mechanism/data
fusion-driven
prediction.
Firstly,
mechanism
clear
sky
radiation
model
is
used
calculate
limit
random
output,
latter
reorganized
in
different
periods
by
using
idea
similar
days.
Then,
data-driven
prediction
results
are
superimposed
established,
framework
provided.
Secondly,
boundary
information
uncertain
factors
deeply
explored,
uncertainty
set
considering
confidence
interval
predictive
error
statistical
constructed.
On
basis,
a
optimization
lowest
operating
cost
proposed,
solved
column
constraint
generation
algorithm.
Finally,
rationality
effectiveness
proposed
verified
through
simulation
examples
analytical
calculations.
Language: Английский
Microgrid-level reliability assessment of mid-term electricity provision under intermittency of renewable distributed generation: A probabilistic conditional value at risk modeling
Reliability Engineering & System Safety,
Journal Year:
2025,
Volume and Issue:
unknown, P. 111087 - 111087
Published: April 1, 2025
Language: Английский
A distributionally robust collaborative scheduling and benefit fallocation method for interconnected microgrids considering tail risk assessment
Jialin Du,
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Weihao Hu,
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Sen Zhang
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et al.
Applied Energy,
Journal Year:
2025,
Volume and Issue:
391, P. 125910 - 125910
Published: April 15, 2025
Language: Английский
Distributionally Robust Optimization Model of the Integrated Energy System with Integrated Demand Response
Zhewen Zhang,
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Dongxiao Niu,
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Jiaqi Yun
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et al.
Journal of Energy Engineering,
Journal Year:
2025,
Volume and Issue:
151(4)
Published: April 17, 2025
Language: Английский
Distributed stochastic energy management for ship integrated energy system with uncertain load demand
Ocean Engineering,
Journal Year:
2024,
Volume and Issue:
312, P. 119293 - 119293
Published: Sept. 27, 2024
Language: Английский
Optimized Profit Allocation Model for Service Alliance Transactions Considering Risk
Electronics,
Journal Year:
2024,
Volume and Issue:
13(23), P. 4648 - 4648
Published: Nov. 25, 2024
In
service
alliances,
where
multiple
providers
collaborate
to
complete
transactions,
the
equitable
allocation
of
profits
based
on
their
respective
contributions
and
risk-bearing
capacities
is
paramount.
This
paper
introduces
an
optimized
profit
game
model
that
integrates
risk
considerations
into
Nash
bargaining
framework.
Initially,
study
established
a
alliance
transaction
considered
interactions
among
participants,
providing
robust
theoretical
foundation
for
cooperation.
Subsequently,
concept
marginal
was
introduced,
unique
calculation
method
Shapley
value
devised
quantify
contributions.
Finally,
improved
proposed,
which
introduced
adjustment
factor,
explicitly
addressing
impact
each
participant’s
allocation.
Through
computational
cases
result
analyses,
this
demonstrated
its
ability
balance
optimize
outcomes
all
it
validated
fairness
rationality
proposed
method.
Language: Английский