Performance Assessment of Robust P&O Algorithm Using Optimal Hypothetical Position of Generator Speed

To improve the performance of recent perturb and observe (P&O) maximum power point tracking (MPPT) algorithms, an intelligent robust P&O (IR-PO) algorithm is investigated for variable-speed wind energy conversion systems (WECSs). The proposed IR-PO reduces search area (MPP) by using optimal hypothetical position generator speed. Initially, assesses speed via a simple estimation (WSE) which adopts considerable miscalculation. So, specified not accurate in turn influences overall dynamic performance. Hence, assumes that operation estimated hypothetical, from this virtual it begins to real Below position, large adaptive step-sizes are established rapidly tightens searching MPP. Otherwise, very small applied. only hunts MPP with low-speed fluctuations around MPP, but also evades error both speeds. verify superiority algorithm, compared other MPPT algorithms. As result smallest settling time 4.42% increase system efficiency, accomplished. Furthermore, assessment confirmed data (Hokkaido-Island, Japan) MATLAB/SIMULINK.