A normalized deep neural network with self-attention mechanisms based multi-objective multi-verse optimization algorithm for economic dispatch
Applied Energy,
Год журнала:
2025,
Номер
383, С. 125414 - 125414
Опубликована: Янв. 24, 2025
Язык: Английский
Dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy for novel power system dispatch
Energy,
Год журнала:
2025,
Номер
unknown, С. 136075 - 136075
Опубликована: Апрель 1, 2025
Язык: Английский
A techno-economic framework for optimizing multi-area power dispatch in microgrids with tie-line constraints
Renewable Energy,
Год журнала:
2024,
Номер
231, С. 120854 - 120854
Опубликована: Июнь 25, 2024
Язык: Английский
An extended incremental technique for solving economic dispatch with practical considerations
Electric Power Systems Research,
Год журнала:
2024,
Номер
233, С. 110455 - 110455
Опубликована: Май 11, 2024
Язык: Английский
Economic dispatch of multi-microgrids considering flexible load based on distributed consensus algorithm
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 11, 2024
Abstract
This
paper
investigates
the
economic
dispatch
(ED)
problem
of
multi-microgrids
considering
flexible
loads
based
on
distributed
consensus
algorithm.
Firstly,
structure
topology
diagram
generator
nodes
is
designed
global
interconnection
multi-microgrids,
then
load
considered
as
adjustable
and
be
added
into
fixed
loads.
Next,
a
(MMED)
model
which
contained
constructed
with
goal
minimizes
operating
cost
entire
system.
The
proposed
MMED
two-layer
coordinated
optimization
model.
power
transmission
between
each
microgrid
used
layer
framework,
internal
costs
single
sub-microgrid
framework.
algorithm
to
solve
constraint
condition
generators
in
microgrid.
Finally,
some
examples
illustrate
that
method
can
not
only
optimize
operation
microgrid,
but
also
maintains
stability
through
adjustment
load,
reduces
total
whole
Язык: Английский
Topological clustering particle swarm optimizer based on adaptive resonance theory for multimodal multi-objective problems
Information Sciences,
Год журнала:
2024,
Номер
679, С. 121106 - 121106
Опубликована: Сен. 1, 2024
Язык: Английский
THE SUPERIORITY OF FEASIBLE SOLUTIONS-MOTH FLAME OPTIMIZER USING VALVE POINT LOADING
Results in Control and Optimization,
Год журнала:
2024,
Номер
unknown, С. 100465 - 100465
Опубликована: Сен. 1, 2024
Язык: Английский
Economic dispatch of multi-microgrids considering flexible load based on distributed consensus algorithm
Electrical Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 17, 2024
Язык: Английский
Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
Compared
to
individual
microgrid,
multi-microgrid
(MMG)
system
can
enhance
the
overall
utilization
of
renewable
energy,
effectively
improve
operational
stability
local
microgrids,
and
reduce
dependence
on
main
grid.
However,
energy
management
MMG
encounters
significant
challenges
due
complex
interaction
between
different
microgrids.
To
tackle
this
issue,
paper
introduces
a
non-cooperative
gamebased
optimal
scheduling
market
trading
model
for
composed
various
sources,
completing
trade
decisions
while
ensuring
information
independence.
Considering
real-time
changes
in
environmental
transition
functions
scenarios,
multi-agent
deep
deterministic
policy
gradient
(MADDPG)
algorithm
is
employed,
which
modifies
experience
replay
mechanism
Markov
process
basic
(DDPG)
algorithm.
traditional
algorithms,
method
presented
does
not
require
predictions
state
variables,
achieves
end-to-end
training
from
agent
states
actions,
ensures
security
autonomous
decision-making
each
microgrid.
Язык: Английский