This
study
presents
a
distributed
electricity
trading
system
using
smart
contracts
to
improve
transaction
efficiency
and
reduce
costs
in
power
markets.
Three
models
are
analyzed:
centralized
trading,
blockchain-based
decentralized
contract-driven
automated
trading.
The
advantages
challenges
of
each
model
examined,
focusing
on
factors
like
node
inclusion
time,
costs,
price
stability.
results
show
that
the
outperforms
others
by
increasing
market
efficiency,
lowering
reducing
fluctuations.
Through
simulations
real-world
analysis,
this
provides
support
for
blockchain
technology
markets
offers
practical
advice
improving
systems.
findings
suggest
proposed
could
greatly
enhance
transparency,
cost-effectiveness
energy
markets,
even
uncertain
conditions.
Energy Reports,
Год журнала:
2024,
Номер
11, С. 1959 - 1978
Опубликована: Янв. 31, 2024
Numerous
developing
countries
are
currently
grappling
with
energy
crises
due
to
the
current
surge
in
global
fossil
fuels
prices.
This
situation
has
prompted
policymakers
and
cities
administrator
urgently
seek
alternative
power
sources.
Scientists
worldwide
actively
working
on
innovative
computational
methods
address
coordination
challenges
faced
by
hybrid
systems.
Their
objective
is
optimize
utilization
of
environmentally
friendly
sources,
such
as
clean
sources
(CESs)
like
wind
solar
power,
within
framework
traditional
hydro-thermal
coordination.
research
aims
examine
how
integrating
CESs
into
conventional
delivering
model
can
minimize
significant
costs
associated
production.
The
proposed
approach
involves
constructing
a
probabilistic
represent
problem.
To
handle
uncertainties
related
CESs,
technique
known
point
estimation
employed.
employs
Weibull
Beta
distribution
functions
uncertain
input
variables
power.
present
study
an
optimization
paradigm
that
integrates
black
widow
(BWO)
algorithm
radial
basis
function
neural
network
(RBFNN).
not
only
considers
system
but
also
adapts
its
parameters
attain
optimum
balance
among
exploration
well
exploitation
phase.
Within
context
advancing
transition
outcomes
our
simulations
demonstrate
achievement.
incorporation
problem
yields
substantial
10
percent
reduction
operational
impressive
64
decline
emissions.
convergence
curves
scheme
reveal
presented
computing
quickly
converges
optimal
solution,
attaining
best
solution.
Three
case
studies
have
been
conducted,
Case
Study-I,
attained
cost
emissions
$3.6e4/day
2.8e4
lb/day,
respectively,
photovoltaic
at
$1148/day
$3055/day,
respectively.
For
Study-II,
complex
function,
15887.42
lb/day
production
$26072.89/day
achieved.
Study-III,
$26558/day
12932
acquired
using
approach.
valuable
contribution
holds
particular
significance
for
economic
empowerment
nations.
By
diminishing
their
reliance
imported
generation,
it
paves
way
enhanced
self-sufficiency.
Moreover,
findings
provide
well-defined
pathway
towards
fostering
sustainable
urban
settings.
Additionally,
highlights
from
fuel-dependent
industries
establishment
economies.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Дек. 8, 2023
Microgrids
are
power
distribution
systems
that
can
operate
either
in
a
grid-connected
configuration
or
an
islanded
manner,
depending
on
the
availability
of
decentralized
resources,
such
as
sustainable
non-sustainable
sources,
battery
backup
systems,
and
demands.
The
extensive
adoption
inverter-based
poses
numerous
technological
challenges,
necessitating
centralized
management
system
to
assure
reliability
monitoring
energy
delivery
networks.
Thus,
this
research
begins
by
highlighting
these
significant
obstacles
then
analyzes
present-day
advances
multilevel
control
architecture
for
delivering
promised
functionality.
This
article
also
discusses
development
innovative
technologies,
introducing
collaborative
distributed
approaches
reducing
conventional
three-stage
patriarchal
administration
fewer
stages
integration
functioning.
Energy Reports,
Год журнала:
2023,
Номер
10, С. 4097 - 4111
Опубликована: Окт. 31, 2023
This
paper
investigates
a
new
consensus-oriented
distributed
approach
for
the
event-triggered
(ET)
economic
dispatch
problem
(EDP)
over
smart
grid
under
ramp-rate
limits
(RRLs)
integrated
with
green
power
sources
(GPSs)
such
as
solar
and
wind
energy
demand
response
strategies
hybrid
systems.
To
address
RRL
condition,
authors
have
transformed
RRLs
minimum
maximum
bounds
on
derivative
of
generation
generator.
Then,
Karush–Kuhn–Tucker
(KKT)
condition
more
practical
approximate
KKT
are
developed
determining
optimality
conditions.
A
ET
protocol
is
proposed
topology
between
generators
by
application
condition.
In
contrast
to
existing
optimization
methods,
this
provides
both
optimally
scheme
dealing
sustainable
addition,
computationally
efficient
mechanism,
eliminating
Zeno
behaviour,
has
been
considered
utilization
communication
resources.
study
incorporates
real-time
input
data
from
thermal
production
plants
GPSs
experimental
analysis.
RETScreen
software
having
data-set
6,700
local
meteorological
stations
applied
obtain
GPSs.
Furthermore,
Weibull
Beta
distribution
functions
uncertainty
in
sources.
Two
case
studies
examined
(with
without
GPSs),
simulation
results
demonstrated
suitable
performance
EDP
approach.
