Authors :
Dr. Dheeraj Gupta; Nikhil gupta; Rahul Kumar Dwivedi; Prateek Kashyap; Navneet Upadhyay; Ekta Chaudhary; Arvind kumar Chaurasiya; Rafi Azam
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3VvUBAv
DOI :
https://doi.org/10.5281/zenodo.7493570
Abstract :
This research compares and contrasts the
traditional and artificial intelligence MPPT techniques
in terms of changing temperature and climatic
conditions. The efficiency of the system is increased
since the zeta converter uses a soft switching technique
to eliminate the switching losses that are prevalent in
conventional buck converters. The output-voltage ripple
is reduced, and compensating is made simpler thanks to
the zeta converter. The converter synthesises and
modulates the DC power that is extracted from the PV
array to meet the needs of the loads. A solar panel, a
zeta dc-dc converter, and MPPT techniques that are
modelled in the MATLAB/Simulink environment make
up the suggested scheme
Keywords :
Photovoltaic (PV) modules, Fuzzy Logic Controller, Perturb and Observe, Maximum Power Point Tracker, Zeta Converter.
This research compares and contrasts the
traditional and artificial intelligence MPPT techniques
in terms of changing temperature and climatic
conditions. The efficiency of the system is increased
since the zeta converter uses a soft switching technique
to eliminate the switching losses that are prevalent in
conventional buck converters. The output-voltage ripple
is reduced, and compensating is made simpler thanks to
the zeta converter. The converter synthesises and
modulates the DC power that is extracted from the PV
array to meet the needs of the loads. A solar panel, a
zeta dc-dc converter, and MPPT techniques that are
modelled in the MATLAB/Simulink environment make
up the suggested scheme
Keywords :
Photovoltaic (PV) modules, Fuzzy Logic Controller, Perturb and Observe, Maximum Power Point Tracker, Zeta Converter.
