IET Generation Transmission & Distribution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 30, 2024
Abstract
The
escalating
global
population
and
energy
demands
underscore
the
critical
role
of
renewable
sources,
particularly
solar
power,
in
mitigating
environmental
degradation
caused
by
traditional
fossil
fuels.
This
paper
emphasizes
advantages
energy,
especially
photovoltaic
(PV)
systems,
which
have
become
pivotal
hybrid
systems.
However,
accurate
modelling
identification
PV
cell
parameters
pose
challenges,
prompting
adoption
meta‐heuristic
optimization
algorithms.
work
explores
limitations
existing
algorithms
introduces
a
novel
approach,
bio‐dynamics
grasshopper
algorithm
(BDGOA).
BDGOA
addresses
deficiencies
both
exploration
exploitation
phases,
exhibiting
exceptional
convergence
speed
efficiency.
algorithm's
simplicity,
achieved
through
implementation
an
elimination
phase
controlled
search
space,
enhances
its
performance
without
intricate
calculations.
study
evaluates
applying
it
to
identify
unknown
five
modules.
effectiveness
is
demonstrated
extraction
for
RTC
France,
PWP201,
SM55,
KC200GT,
SW255
models,
validated
against
experimental
data
under
diverse
conditions.
concludes
with
insights
into
impact
radiation
temperature
on
module
parameters.
subsequent
sections
delve
intricacies
model,
articulate
formulation
proposed
algorithm,
present
simulations,
analyse
obtained
results.
emerges
as
promising
solution,
overcoming
contributing
significantly
advancement
efficient
parameter
identification,
thereby
propelling
progress
towards
sustainable
future.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 12, 2024
Cameroon
is
currently
grappling
with
a
significant
energy
crisis,
which
adversely
affecting
its
economy
due
to
cost,
reliability,
and
availability
constraints
within
the
power
infrastructure.
While
electrochemical
storage
presents
potential
remedy,
implementation
faces
hurdles
like
high
costs
technical
limitations.
Conversely,
generator-based
systems,
although
viable
alternative,
bring
their
own
set
of
issues
such
as
noise
pollution
demanding
maintenance
requirements.
This
paper
meticulously
assesses
novel
hybrid
system
specifically
engineered
meet
diverse
needs
Douala,
Cameroon.
By
employing
advanced
simulation
techniques,
especially
Hybrid
Optimization
Model
for
Electric
Renewable
(HOMER)
Pro
program,
study
carefully
examines
intricacies
load
demands
across
distinct
consumer
categories
while
accommodating
varied
pricing
models.
The
offers
detailed
analysis
proposed
grid-connected
PV/Diesel/Generator
system,
aiming
gauge
performance,
economic
feasibility,
reliability
in
ensuring
uninterrupted
supply.
Notably,
unveils
cost
reduction
per
kilowatt-hour,
indicating
promising
updated
rates
$0.07/kW,
$0.08/kW,
$0.06/kW
low,
medium,
usage
groups,
respectively.
Furthermore,
research
underscores
importance
overcoming
operational
challenges
temperature
fluctuations,
equipment
costs,
regulatory
compliance.
It
also
acknowledges
impact
nuances
grid
integration
on
efficiency.
As
world
progresses
towards
renewable
adoption
this
investigation
lays
strong
foundation
future
advancements
management
strategies.
strives
create
sustainable
ecosystem
beyond,
where
systems
play
pivotal
role
mitigating
deficiencies
supporting
development.
IET Generation Transmission & Distribution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 30, 2024
Abstract
The
escalating
global
population
and
energy
demands
underscore
the
critical
role
of
renewable
sources,
particularly
solar
power,
in
mitigating
environmental
degradation
caused
by
traditional
fossil
fuels.
This
paper
emphasizes
advantages
energy,
especially
photovoltaic
(PV)
systems,
which
have
become
pivotal
hybrid
systems.
However,
accurate
modelling
identification
PV
cell
parameters
pose
challenges,
prompting
adoption
meta‐heuristic
optimization
algorithms.
work
explores
limitations
existing
algorithms
introduces
a
novel
approach,
bio‐dynamics
grasshopper
algorithm
(BDGOA).
BDGOA
addresses
deficiencies
both
exploration
exploitation
phases,
exhibiting
exceptional
convergence
speed
efficiency.
algorithm's
simplicity,
achieved
through
implementation
an
elimination
phase
controlled
search
space,
enhances
its
performance
without
intricate
calculations.
study
evaluates
applying
it
to
identify
unknown
five
modules.
effectiveness
is
demonstrated
extraction
for
RTC
France,
PWP201,
SM55,
KC200GT,
SW255
models,
validated
against
experimental
data
under
diverse
conditions.
concludes
with
insights
into
impact
radiation
temperature
on
module
parameters.
subsequent
sections
delve
intricacies
model,
articulate
formulation
proposed
algorithm,
present
simulations,
analyse
obtained
results.
emerges
as
promising
solution,
overcoming
contributing
significantly
advancement
efficient
parameter
identification,
thereby
propelling
progress
towards
sustainable
future.
