Hybrid Renewable Energy Systems—A Review of Optimization Approaches and Future Challenges
Applied Sciences,
Год журнала:
2025,
Номер
15(4), С. 1744 - 1744
Опубликована: Фев. 8, 2025
The
growing
need
for
sustainable
energy
solutions
has
propelled
the
development
of
Hybrid
Renewable
Energy
Systems
(HRESs),
which
integrate
diverse
renewable
sources
like
solar,
wind,
biomass,
geothermal,
hydropower
and
tidal.
This
review
paper
focuses
on
balancing
economic,
environmental,
social
technical
criteria
to
enhance
system
performance
resilience.
Using
comprehensive
methodologies,
examines
state-of-the-art
algorithms
such
as
Multi-Objective
Particle
Swarm
Optimization
(MOPSO)
Non-Dominated
Sorting
Genetic
Algorithm
II
(NSGA-II),
alongside
Crow
Search
(CSA),
Grey
Wolf
Optimizer
(GWO),
Levy
Flight-Salp
(LF-SSA),
Mixed-Integer
Linear
Programming
(MILP)
tools
HOMER
Pro
3.12–3.16
MATLAB
9.1–9.13,
have
been
instrumental
in
optimizing
HRESs.
Key
findings
highlight
role
advanced,
multi-energy
storage
technologies
stabilizing
HRESs
addressing
intermittency
sources.
Moreover,
integration
metaheuristic
with
machine
learning
enabled
dynamic
adaptability
predictive
optimization,
paving
way
real-time
management.
HRES
configurations
cost-effectiveness,
environmental
sustainability,
operational
reliability
while
also
emphasizing
transformative
potential
emerging
quantum
computing
are
underscored.
provides
critical
insights
into
evolving
landscape
offering
actionable
recommendations
future
research
practical
applications
achieving
global
sustainability
goals.
Язык: Английский
A solar energy system with a dual-input power converter and global MPPT for off-grid applications
Electric Power Systems Research,
Год журнала:
2025,
Номер
243, С. 111497 - 111497
Опубликована: Фев. 6, 2025
Язык: Английский
An Improved Power Optimizer Architecture for Photovoltaic (PV) String Under Partial Shading Conditions
Applied Sciences,
Год журнала:
2025,
Номер
15(10), С. 5791 - 5791
Опубликована: Май 21, 2025
In
this
paper,
a
better
power
optimizer
architecture
has
been
presented
for
PV
strings,
using
buck
converter
each
module
to
address
partial
shading
conditions.
The
converter,
though
rarely
used,
is
natural
effects,
as
it
converts
the
lower
current
of
shaded
higher
output
current.
Usually,
advanced
activates
isolated
converters
(complex)
only
modules
draw
extra
from
inverter’s
DC-link
node
maintain
string
(Istring).
On
other
hand,
conventional
(basic)
all
regardless
their
status.
proposed
contains
unique
design
with
new
schematic
layout,
where
without
drawing
DC-link.
Thus,
combines
benefits
both
architectures—selective
operation,
basic
topology,
high
efficiency,
low
voltage
stress,
and
control
complexity—while
eliminating
drawbacks.
designing
philosophy,
mechanism,
fundamental
operation
have
comprehensively
explained
validated
through
simulation
experiments.
Three
levels
are
used
test
containing
three
modules:
(1)
single
moderate
(15%)
level,
(2)
strong
(50%)
(3)
double
extreme
(75%)
(25%)
levels.
results
show
successful
maintains
common
Istring
an
inverter,
remain
active.
exhibits
average
efficiency
over
97%
under
normal
A
comparative
analysis
architectures
indicate
enhanced
features
architecture.
Язык: Английский