Abstract— This research work addresses a comparative
examination of the two basic non-isolated DC-DC converters that
could be interfaced effectively for maximum power point
tracking (MPPT) in photovoltaic (PV) systems via tracking
algorithm of controlling the duty ratio of these converters.
Examination of two famous DC-DC convertor topologies i.e.
buck, and buck-boost converters has been performed here to
scrutinize the behavior of converter behavior relating to
changing atmospheric attributes, sequentially the deviation in the
duty ratio (due to MPPT), and tracking efficiency. With the
variant in the atmospheric conditions, the working value of
resistance at the maximum power point (Rmpp) varies. In order
to efficiently operate the system at the maximum power point,
the MPPT algorithm must make the system work near to the
value of Rmpp for the intermittent atmospheric pattern of
varying insolation and temperature. The effectiveness of the
MPPT algorithm can be scaled by this very obligation. The
simulation study verifies that, although buck, and buck-boost
converters are implemented as power converters for MPPT
control, they are don’t equally efficient. The consequence of
diverse loads having values different to Rmpp on converter-side
output is analyzed for the two important topologies, and it is
inferred that the buck-boost converter topology most efficiently
tracks the maximum power point (MPP) in case of varying
temperature, insolation, and loading effect.
Keywords— PV system; Maximum power point tracking; Buck
convertor; Buck-Boost DC-DC Converters; duty ratio contro