@article{MAKHILLIJEPE201913325321,
    title = {Maximum Power Point Tracking in SPV System under Linear and Non-Linear Condition},
    journal = {International Journal of Electrical and Power Engineering},
    volume = {13},
    number = {3},
    pages = {30-35},
    year = {2019},
    issn = {1990-7958},
    doi = {ijepe.2019.30.35},
    url = {https://makhillpublications.co/view-article.php?issn=1990-7958&doi=ijepe.2019.30.35},
    author = {S. and},
    keywords = {directirradiance and diffused irradiance,Particle Swarm Optimization (PSO),linear and non-linear,Perturbation and Observation (P and O),Maximum Power Point Tracking (MPPT),PV system},
    abstract = {In this study, maximum power point tracking
is done in a solar photovoltaic system for maximum
harvesting of power from the sun, so that, the solar power
generation can be improved. There are various MPPT
techniques used in solar PV system for extracting power
from the sun but the most used is perturbation and
observation and particle swarm optimization methods. In
this study a comparative analysis of perturbation and
observation and particle swarm optimization technique is
done for maximum power point tracking of solar
photovoltaic system under linear and non-linear condition.
The efficiency of both the technique is compared and the
best technique is applied for maximum power point
tracking in a solar PV system under linear and non-linear
conditions that prevail in the atmosphere. Linear and nonlinear
are conditions in the atmosphere that occurs due to
direct sunlight irradiance and diffused irradiance on the
Earth’s atmosphere that affects the solar PV panel
insolation level. Under varying atmospheric conditions
the solar PV generation is made more efficient by using
the best maximum power point tracking technique.}
    }