Assessing the sustainability of combined heat and power systems with renewable energy and storage systems: Economic insights under uncertainty of parameters
PLoS ONE,
Год журнала:
2025,
Номер
20(3), С. e0319174 - e0319174
Опубликована: Март 18, 2025
The
escalating
challenges
posed
by
fossil
fuel
reliance,
climate
change,
and
increasing
energy
expenses
have
underscored
the
critical
importance
of
optimizing
systems.
This
paper
addresses
economic
dispatch
(ED)
challenge,
which
directs
optimization
output
generation
units
to
satisfy
electricity
heat
requirements
while
reducing
operational
expenses.
In
contrast
conventional
methods,
this
research
incorporates
renewable
sources
(RESs),
storage
systems
(ESSs),
combined
power
(CHP)
integrated
strategy
facilitates
concurrent
electrical
thermal
generation,
culminating
in
a
more
comprehensive
efficient
solution.
A
sophisticated
scheduling
model
for
heat,
power,
(CHPEED)
has
been
devised,
minimizing
suggested
accounts
practical
constraints
inherent
real-world
systems,
such
as
prohibited
operating
regions,
also
addressing
intricate
relationships
between
CHP
units.
Also,
nature
wind
energy,
photovoltaic
load
within
realm
stochastic
dynamic
ED
are
considered.
general
algebraic
modeling
system
(GAMS)
was
utilized
solve
problem.
cost
without
RES
or
ESS
is
$250,954.80,
indicating
high
reliance
on
costly
sources.
Integrating
reduces
costs
$247,616.42,
highlighting
savings
through
decreased
dependency.
combination
achieves
lowest
$245,933.24,
showcasing
improvements
efficiency
supply-demand
management
via
optimized
utilization.
Hence,
findings
demonstrate
model’s
effectiveness
uncertainties
associated
with
ensuring
reliability
meeting
demands
validating
possible
capability
enhance
sustainability
Язык: Английский
Research on the Economic Scheduling Problem of Cogeneration Based on the Improved Artificial Hummingbird Algorithm
Energies,
Год журнала:
2024,
Номер
17(24), С. 6411 - 6411
Опубликована: Дек. 19, 2024
With
the
increasing
application
of
Combined
Heat
and
Power
(CHP)
units,
Economic
Dispatch
(CHPED)
has
emerged
as
a
significant
issue
in
power
system
operations.
To
address
complex
CHPED
problem,
this
paper
proposes
an
effective
economic
dispatch
method
based
on
Improved
Artificial
Hummingbird
Algorithm
(IAHA).
Given
constraints
problem
presence
valve
point
effects
prohibited
operating
zones,
it
requires
algorithm
to
have
high
traversal
capability
solution
space
be
resistant
becoming
trapped
local
optima.
IAHA
introduced
two
key
improvements
characteristics
shortcomings
standard
(AHA).
Firstly,
uses
chaotic
mapping
initialize
initial
population,
enhancing
algorithm’s
capability.
Second,
guided
foraging
AHA
been
modified
enhance
ability
escape
from
Simulation
experiments
were
conducted
CHP
systems
at
three
different
scales:
7
24
48
units.
Compared
other
algorithms
reported
literature,
reduces
cost
testing
by
up
USD
18.04,
232.7894,
870.7461.
swarm
intelligence
demonstrates
advantages
terms
convergence
accuracy
speed.
These
results
confirm
that
is
solving
while
overcoming
limitations
AHA.
Язык: Английский