Improvement of maximum power point tracking (MPPT) efficiency using grey wolf optimization (GWO) algorithm in photovoltaic (PV) system

Photovoltaics are becoming very popular, because the system does not
produce pollution and can be installed anywhere, including in remote areas. However,
in the use of photovoltaic found some common problems, it is difficult to get
maximum and stable power. Therefore, to overcome these problems using Maximum
Power Point Tracking method. On a photovoltaic system it is necessary to determine
which converter will be used to increase the power output of the photovoltaic. The
design of MPPT using gray wolf optimization algorithm that can track the output
power quickly and reduce the oscillation in photovoltaic system. The result of the
maximum power tracker using the gray wolf optimization algorithm is better than the
incremental conductance algorithm of up to 0,4 s. Converters are used using soft -
switching buck converter method to overcome the power losses that often arise in PV
systems. The result of power output using soft-switching buck converter is greater
than using buck converter. When comparing the efficiency of photovoltaic systems
using the gray wolf optimization algorithm increases from using the incremental
conductance algorithm.