Design of Novel Optimization Algorithm based Maximum Power Point Tracking for Solar Photovoltaic Application

In the present investigation, the Maximum Power Point Tracking (MPPT) of a 250 Wp solar PV model is validated in rapidly changing atmospheric conditions using Horse Herd Optimization (HHO) methodologies. Traditional MPPT algorithms cannot cope with quickly changing atmospheric conditions. As a result, the HHO algorithm is proposed as a solution to this problem in the research. The novel algorithm can handle both normal and rapidly changing atmospheric conditions. The approach is evaluated using MATLAB/Simulink software under rapidly varying shading conditions to demonstrate its efficiency. To evaluate the proposed algorithm perturb and observe (P&O) is utilized to compare.