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.
AIMS energy,
Journal Year:
2024,
Volume and Issue:
12(5), P. 946 - 967
Published: Jan. 1, 2024
<p>With
the
high
penetration
of
renewable
energy,
addition
a
large
number
energy
storage
units,
and
flexible
loads,
source-load-storage
structure
active
distribution
networks
is
becoming
increasingly
complex,
making
optimization
scheduling
more
challenging.
In
response
to
issues
as
difficult
global
information
acquisition,
less
consideration
load
unit
access,
individual
deception,
insufficient
security
in
process
networks,
this
paper
constructed
network
model
that
includes
sources,
storage.
It
proposed
distributed
strategy
for
combined
with
alliance
chains.
This
based
on
FISCO
BCOS
consortium
chain
platform,
blockchain
multi-agent
nodes
forming
network.
The
consistency
variables
are
incremental
cost
power
generation
benefits
loads.
Distributed
calculations
were
carried
out
using
consensus
algorithm
leadership
nodes.
By
combining
data
mechanism
advantages
chain,
centrality
eliminated,
achieving
optimal
allocation
at
minimum
economic
cost.
simulation
results
show
can
achieve
converge
quickly
various
scenarios
such
non-flexible
fluctuations,
leader
node
switching,
joining
or
leaving,
changes
exchange
instruction
demonstrates
good
robustness
stability.</p>
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: Nov. 22, 2024
With
the
advancement
of
distributed
energy
systems,
sharing
has
emerged
as
a
crucial
trading
mechanism
on
demand-side,
enabling
participants
to
share
self-generated
with
their
neighbors
through
contractual
agreements.
Nevertheless,
comprehensive
analysis
is
needed
balance
benefits
among
prosumers,
given
distinct
characteristics.
This
paper
proposes
multi-energy
framework
flexible
demand-side
management
based
full
cooperation.
We
evaluate
economic
and
environmental
performance
participants,
considering
impacts
different
operation
modes
diverse
demand
profiles.
Cooperative
game
theory
employed
maximize
social
welfare
all
allocation
schemes
are
used
distribute
cooperative
surplus
stakeholders.
The
fairness
these
assessed
ensure
feasibility
equity
proposed
framework.
results
indicate
that
centralized
yields
win-win
outcomes
for
both
individual
collective
interests.
Specifically,
total
cost
carbon
dioxide
emissions
prosumers
in
shared
scenario
reduced
by
13%
16%,
respectively,
compared
scenarios.
Moreover,
thermal
critically
important
sharing.
Furthermore,
varying
combinations
building
types
significantly
affect
savings
emission
reductions,
influencing
patterns
quantities.
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.
