Journal of Physics Conference Series,
Journal Year:
2024,
Volume and Issue:
2896(1), P. 012041 - 012041
Published: Nov. 1, 2024
Abstract
In
light
of
the
emerging
trend
distributed
transactions
within
multi-energy
system(MES)
cluster,
this
paper
proposes
a
transaction
method
for
MES
that
takes
into
account
uncertainties
in
photovoltaic
(PV)
power
output.
This
approach
aims
to
achieve
optimized
resource
scheduling
MESs,
as
well
coordinated
optimization
between
different
MESs.
Firstly,
PV
output
are
addressed
using
distributionally
robust
chance
constraint.
Subsequently,
problem
cluster
is
decomposed
alternating
direction
multiplier
method,
thereby
establishing
model
considers
uncertainties.
Finally,
case
study
demonstrates
proposed
can
balance
individual
interests
each
with
overall
cluster.
It
effectively
reduces
operating
costs
MESs
and
determines
optimal
operation
strategies
them.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(12), P. 5016 - 5016
Published: June 12, 2024
The
use
of
distributed
energy
systems
(DES)
can
utilize
local
resources
to
achieve
flexible
and
efficient
production
supply.
However,
this
aspect
pollutant
emission
reduction
has
not
been
sufficiently
investigated
in
current
related
studies.
On
basis,
study
establishes
a
DES
system
that
integrates
ground-source
heat
pump,
gas
turbine,
photovoltaic
device
an
storage
device.
An
Improved
Zebra
Optimization
Algorithm
(IZOA)
is
proposed
for
optimizing
the
capacity
devices
supply
ratio
pump.
Using
economic
cost
saving
rate
(ECSR),
(PERR)
(ESR)
as
optimization
objectives,
builds
configuration
model.
By
analyzing
arithmetic
example
large
hotel
building,
verifies
effectiveness
IZOA
algorithm
solving
problem.
This
provides
useful
research
ideas
promoting
development
systems,
environmental
protection
conservation.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 323 - 323
Published: Jan. 13, 2025
This
study
addresses
the
optimization
of
urban
integrated
energy
systems
(UIESs)
under
uncertainty
in
peer-to-peer
(P2P)
electricity
trading
by
introducing
a
two-stage
robust
strategy.
The
strategy
includes
UIES
model
with
photovoltaic
(PV)–green
roof,
hydrogen
storage,
and
cascading
cold/heat
subsystems.
first
stage
optimizes
volume
to
maximize
social
welfare,
while
second
maximizes
operational
profit,
considering
uncertainties
PV
generation
power
prices.
Nested
Column
Constraint
Generation
(NC&CG)
algorithm
enhances
privacy
solution
precision.
Case
studies
three
UIESs
show
that
improves
economic
performance,
efficiency,
sustainability,
increasing
profits
1.5%
over
non-P2P
scenarios.
Adjusting
robustness
deviation
factors
significantly
impacts
P2P
transaction
volumes
profits,
allowing
system
operators
optimize
make
risk-aligned
decisions.
