Fuzzy Logic based Adaptive Step Hill Climbing MPPT Algorithm for PV Energy Generation Systems

This paper presents a modified Hill Climbing (HC) based Maximum Power Point Tracking MPPT algorithm with adaptive duty cycle step using Fuzzy Logic Controller (FLC). The conventional HC MPPT algorithm is usually used in numerous applications because of its simplicity; however, it is highly affected by sudden changes in climatic conditions, and it is characterized by ripple around the Maximum Power Point MPP and slow rate of convergence. In order to overcome these issues, a modified Hill Climbing MPPT method using FLC is presented. The robustness of this method has been demonstrated using a boost DC-DC converter connected to a Kyocera kc 200st model.